The evolution of cities into digitally managed environments requires computational systems that can operate in real time while supporting predictive and adaptive infrastructure management.Earlier approaches have often...The evolution of cities into digitally managed environments requires computational systems that can operate in real time while supporting predictive and adaptive infrastructure management.Earlier approaches have often advanced one dimension—such as Internet of Things(IoT)-based data acquisition,Artificial Intelligence(AI)-driven analytics,or digital twin visualization—without fully integrating these strands into a single operational loop.As a result,many existing solutions encounter bottlenecks in responsiveness,interoperability,and scalability,while also leaving concerns about data privacy unresolved.This research introduces a hybrid AI–IoT–Digital Twin framework that combines continuous sensing,distributed intelligence,and simulation-based decision support.The design incorporates multi-source sensor data,lightweight edge inference through Convolutional Neural Networks(CNN)and Long ShortTerm Memory(LSTM)models,and federated learning enhanced with secure aggregation and differential privacy to maintain confidentiality.A digital twin layer extends these capabilities by simulating city assets such as traffic flows and water networks,generating what-if scenarios,and issuing actionable control signals.Complementary modules,including model compression and synchronization protocols,are embedded to ensure reliability in bandwidth-constrained and heterogeneous urban environments.The framework is validated in two urban domains:traffic management,where it adapts signal cycles based on real-time congestion patterns,and pipeline monitoring,where it anticipates leaks through pressure and vibration data.Experimental results show a 28%reduction in response time,a 35%decrease in maintenance costs,and a marked reduction in false positives relative to conventional baselines.The architecture also demonstrates stability across 50+edge devices under federated training and resilience to uneven node participation.The proposed system provides a scalable and privacy-aware foundation for predictive urban infrastructure management.By closing the loop between sensing,learning,and control,it reduces operator dependence,enhances resource efficiency,and supports transparent governance models for emerging smart cities.展开更多
The long-standing use of portable toilet cubicles by residents of Shanghai’s narrow,labyrinthine alleys came to an end in September 2025 after the city largely finished building public toilets to make up their lack o...The long-standing use of portable toilet cubicles by residents of Shanghai’s narrow,labyrinthine alleys came to an end in September 2025 after the city largely finished building public toilets to make up their lack of sanitation facilities.The project,targeting 14,082 households,started last year.展开更多
This paper addresses urban sustainability challenges amid global urbanization, emphasizing the need for innova tive approaches aligned with the Sustainable Development Goals. While traditional tools and linear models ...This paper addresses urban sustainability challenges amid global urbanization, emphasizing the need for innova tive approaches aligned with the Sustainable Development Goals. While traditional tools and linear models offer insights, they fall short in presenting a holistic view of complex urban challenges. System dynamics (SD) models that are often utilized to provide holistic, systematic understanding of a research subject, like the urban system, emerge as valuable tools, but data scarcity and theoretical inadequacy pose challenges. The research reviews relevant papers on recent SD model applications in urban sustainability since 2018, categorizing them based on nine key indicators. Among the reviewed papers, data limitations and model assumptions were identified as ma jor challenges in applying SD models to urban sustainability. This led to exploring the transformative potential of big data analytics, a rare approach in this field as identified by this study, to enhance SD models’ empirical foundation. Integrating big data could provide data-driven calibration, potentially improving predictive accuracy and reducing reliance on simplified assumptions. The paper concludes by advocating for new approaches that reduce assumptions and promote real-time applicable models, contributing to a comprehensive understanding of urban sustainability through the synergy of big data and SD models.展开更多
This paper discusses the development characteristics of urban horticulture under the background of smart agriculture,as well as the application of artificial intelligence technology in it.It analyzes the importance of...This paper discusses the development characteristics of urban horticulture under the background of smart agriculture,as well as the application of artificial intelligence technology in it.It analyzes the importance of highly skilled talents in urban agriculture in the era of smart agriculture and their cultivation pathways and practices.It proposes measures such as building multi-level practical teaching platforms,implementing the“Enjoy Horticulture”series of high-quality activities,and establishing the“1234”applied talent training model to cultivate high-quality talents that meet the development needs of modern urban horticulture industry.Taking Beijing University of Agriculture and other universities as examples,the paper analyzes the practical cases and effects of the urban horticulture discipline’s industry-education-research collaborative talent training model,which has reference significance for further improving and perfecting the urban horticulture industry-education-research collaborative talent training plan.展开更多
The world is being swept by the wave of smart cities,and Geographic Information System(GIS)technology plays a key role in it.This article explores the application status and development trend of GIS technology in urba...The world is being swept by the wave of smart cities,and Geographic Information System(GIS)technology plays a key role in it.This article explores the application status and development trend of GIS technology in urban planning from the perspective of smart cities.By sorting out the application value of GIS in urban strategic layout,multi system collaboration,and precise services,it explains the necessity of promoting the transformation of planning towards intelligence.We have summarized and organized the practical points of GIS in areas such as overall planning,underground space,landscape,and transportation,including spatial simulation,3D management,ecological integration,and dynamic optimization.Looking ahead to the future,the cross integration of GIS with artificial intelligence,3D modeling,carbon neutrality monitoring,data collaboration,and other technologies will drive planning towards a new stage of development that is more intelligent,refined,open,and green.With the empowerment of GIS,we aim to create sustainable cities that are resilient,low-carbon,and inclusive,making urban life better.展开更多
Urban geological information platforms have traditionally focused on static data provision for public service,constrained by funding and limited engagement with engineering applications.This study takes Hangzhou-a maj...Urban geological information platforms have traditionally focused on static data provision for public service,constrained by funding and limited engagement with engineering applications.This study takes Hangzhou-a major Chinese megacity-as a model to propose a technically integrated platform that aligns with urban infrastructure development,particularly underground space engineering.Through the adoption of the large-scale relational database system Oracle,we first established a comprehensive storage framework for fundamental urban geological and underground infrastructure information,thereby completed the construction of the core databases.To ensure spatial consistency across multi-source data and to meet the platform’s high computational demands while improving overall server responsiveness,we introduced three critical innovations:voxel-based model encoding,distributed computing,and frontend-backend separation with asynchronous processing.To align with urban engineering projects and enhance economic returns,the platform was initially developed through the integration of foundational geological data,including borehole records and aboveground-underground spatial information.Based on this foundation,its practical application in Hangzhou’s Qiantang New Town further demonstrated the platform’s potential in supporting subway routing,underground structure planning,and engineering cost analysis.Consequently,the construction of the Hangzhou geological information platform not only offers robust support for urban decision-making and smart city development but also provides a replicable model for addressing the technical and institutional challenges commonly encountered in the development of urban geological platforms.展开更多
Misinformation has led to a crisis of digital wellbeing,especially in smart cities as networked connectivity has placed increasing pressures on individuals’mental and social health.Current academic and popular discou...Misinformation has led to a crisis of digital wellbeing,especially in smart cities as networked connectivity has placed increasing pressures on individuals’mental and social health.Current academic and popular discourses of digital wellbeing lack discussions on digital citizenship and are encoded in ideologies of neoliberal health,techno-solutionism and techno-determinism.This paper introduces an original digital wellbeing indicator framework to mitigate this crisis and address these gaps by identifying the mutual relationality between urban intelligence and digital citizenship as a key driver of digital wellbeing in the smart city.This paper argues that such an indicator framework is necessary to equip smart cities to move beyond efficiency metrics by embedding human-centred measures of balance,safety,and agency,ensuring that technological progress enhances,rather than erodes,the quality of urban life.展开更多
Purpose:With the deep integration of information technologies into urban governance,smart communities have emerged as pivotal platforms for advancing sustainable urban development.However,existing research has not off...Purpose:With the deep integration of information technologies into urban governance,smart communities have emerged as pivotal platforms for advancing sustainable urban development.However,existing research has not offered a systematic analysis or clear presentation of the field’s academic evolution and thematic structure.This study examines the literature on smart communities published between 2000 and 2024.Employing data analysis and visualization tools,it aims to trace the evolution and development trends of smart community research,map its core themes and their interrelationships,and provide actionable insights for policymaking and practical implementation.Design/methodology/approach:Based on 2,347 publications indexed in the Web of Science from 2000 to 2024,this study employed CiteSpace and VOSviewer to conduct co-citation analysis,keyword co-occurrence mapping,national collaboration network analysis,author and institutional contribution assessment,burst detection,and hotspot term analysis.The literature screening adhered to predefined publication-type criteria and citation-count thresholds to ensure that the results were representative and reliable.Findings:This study,through literature analysis and data visualization in the field of smart communities,yields the following principal conclusions.First,the application of digital twin technology in optimizing smart community resources has attracted growing attention,demonstrating considerable potential in urban management,infrastructure maintenance,and resident services.Second,as technology advances,digitaltwin applications are evolving towards greater precision and efficiency,particularly by deepening their support for resource allocation and decision-making processes.Finally,the future development of smart communities will increasingly depend on the deep integration of digital twins with other cutting-edge technologies,thereby driving intelligent management and optimization of community resources.Research limitations:This literature repository excludes grey literature and non-English publications,potentially underestimating the representativeness of grassroots innovation.Furthermore,the temporal analysis was constrained by the citation-lag effects of publications from 2000 to 2024.Practical implications:This study proposes a decision-support toolkit tailored for municipal planners and policymakers.The toolkit comprises three core intervention strategies:multiscale environmental sensing,participatory governance protocols,and regenerative technology pathways.These measures are designed to advance the implementation of the United Nations Sustainable Development Goal 11:Sustainable Cities and Communities.Originality/value:By explicitly defining and applying the“thematic knowledge framework,”this paper offers a concise roadmap for the evolution of smart community research.It also provides precise guidance for designing and implementing community development strategies that align with Sustainable Development Goals.展开更多
Due to growing concerns regarding climate change and environmental protection,smart power generation has become essential for the economical and safe operation of both conventional thermal power plants and sustainable...Due to growing concerns regarding climate change and environmental protection,smart power generation has become essential for the economical and safe operation of both conventional thermal power plants and sustainable energy.Traditional first-principle model-based methods are becoming insufficient when faced with the ever-growing system scale and its various uncertainties.The burgeoning era of machine learning(ML)and data-driven control(DDC)techniques promises an improved alternative to these outdated methods.This paper reviews typical applications of ML and DDC at the level of monitoring,control,optimization,and fault detection of power generation systems,with a particular focus on uncovering how these methods can function in evaluating,counteracting,or withstanding the effects of the associated uncertainties.A holistic view is provided on the control techniques of smart power generation,from the regulation level to the planning level.The benefits of ML and DDC techniques are accordingly interpreted in terms of visibility,maneuverability,flexibility,profitability,and safety(abbreviated as the“5-TYs”),respectively.Finally,an outlook on future research and applications is presented.展开更多
As urbanization process has been and will be happening in an unprecedented scale worldwide,strong requirements from academic research and practical fields for smart management and intelligent planning of cities are pr...As urbanization process has been and will be happening in an unprecedented scale worldwide,strong requirements from academic research and practical fields for smart management and intelligent planning of cities are pressing to handle increasing demands of infrastructure and potential risks of inhabitants’agglomeration in disaster management.Geospatial data and geographic information systems(GISs)are essential components for building smart cities in a basic way that maps the physical world into virtual environment as a referencing framework.On higher level,GIS has been becoming very important in smart cities on different sectors.In the digital city era,digital maps and geospatial databases have long been integrated in workflows in land management,urban planning and transportation in government.People have anticipated GIS to be more powerful not only as an archival and data management tool but also as spatial models for supporting decision-making in intelligent cities.Successful applications have been developed in private and public organizations by using GIS as a platform for data integration,a system for geospatial analysis and collection of models for visualization and decision-making.Location-based services on smart mobile devices in ubiquitous telecommunication networks are now an indispensable function that expands knowledge of the nature and connections among people.On data side,crowd-sourcing,real-time urban sensing and true 3-dimensional(3D)models and visualization have provided more advantages of GIS to final users and at the same time challenged current available solutions and technologies of data handling,visualization and human–computer interaction.On the technological side,Web 2.0 participatory applications provide the framework and environment for GIS to closer link to photogrammetry and computer vision,which empowers smart devices more capabilities.How to manage big geo-tagged data volumes collected by numerous sensors and implement professional GIS functions in a cloud computing environment are urgent questions to facilitate smart cities management.This paper reviews advancements of GIS in the management of cities as information systems to facilitate urban modelling and decision-making,as referencing basis to integrate social network media,and concludes that an interdisciplinary urban GIS is needed to support development of smart cities.We take Singapore as a case of GIS pervasive applications,which has strategically made a master plan of national information infrastructure and has been implementing geospatial collaboration environments for public and private sectors.展开更多
Urban agglomeration is the main spatial organization mode used by the Chinese government to promote the policy of new urbanization strategy.Hence,a better understanding of the urban growth boundary(UGB)has profound th...Urban agglomeration is the main spatial organization mode used by the Chinese government to promote the policy of new urbanization strategy.Hence,a better understanding of the urban growth boundary(UGB)has profound theoretical and practical significance regarding sustainable urban development.This study devised a raster-based land use spatial optimization(LUSO)framework,and utilized ant colony optimization(ACO)algorithm to delimit the smart growth boundaries of the Changsha-Zhuzhou-Xiangtan city group(CZTCG)in China.The aim of this study is to design a LUSO model to explore an optimal pattern of urban agglomeration for sustainable growth.Multi growth scenario including a single development center,multipolar development and balanced development patterns are generated by the LUSO model for the year of 2050,and the optimum spatial pattern is chosen based on objectives comparison and the present stage of economic and social development in CZTCG.The main results are listed as the following.1)It is feasible to identify the growth boundaries of the urban agglomeration using the land use spatial optimization model,and the optimal form of the spatial pattern can be defined.2)With the growth trend of the urban agglomeration gradually spreads from a single center to multi-centers and even small towns,the total optimization target performance gradually increases,which means that the traditional pie-shaped development does not meet the maximum comprehensive benefit of the city group.3)Subject to the regional social and economic development stage,absolute fair development or simply developing the central city is not conducive to promoting the coordinated development of the urban agglomeration.Gradient equalization and gradual advancement are the best choice for UGB delineation of urban agglomeration.The findings of this study would be useful to identify the UGB in CZTCG for more sustainable urban development in the future.展开更多
Smart urban development is an inevitable choice, and is essential to overall strength improvement. It is important to explore an urban smart development path which unites smart growth with driving shrinkage perfectly ...Smart urban development is an inevitable choice, and is essential to overall strength improvement. It is important to explore an urban smart development path which unites smart growth with driving shrinkage perfectly in forming scientific and sustainable development concept and responding to new normal strategic opportunities. Based on statistic data of 294 prefecture-level cities and above in China from 2000 to 2015, we analyzed spatial and temporal evolution of urban smart development in China by constructing a dynamic fitting model of urban land expansion, population growth, and economic development as well as the coefficient of variation of urban smart development(CVSD). Further efforts were then made to consider differential distribution regularity of urban smart development so as to understand the driving mechanisms of heterogeneous classification of urban smart development in China from different scales and scale variation. Our results indicate that: 1) the disordered growth tendency of urban cities in China is overall well controlled in the middle, and late research and it mainly presented a doublet coexistence of shrinkage disordered cities and smart developing cities. It is particularly obvious that Northeast China and East China have regarded shrinkage disordered cities and smart developing cities as main development tendency separately. 2) Areas with basic stability and relative variation were relatively dispersed across the time period, but the proportion was far beyond areas with significant variation. It demonstrates a relative equilibrium spatial and temporal differential evolution pattern of prefecture-level cities and above in China, except for Tongling, Lanzhou and Chaoyang. 3) prefecture-level cities and above in China are mostly characterized by shrinkage disordered and smart development classification under the background of different scale and scale variation from 2000–2015; however, the spatial resonance relation is not obvious. 4) There are many interaction factors forming an important driving mechanism in developing the spatial and temporal pattern of urban smart development in China, including natural geographical factors, industrial structure adjustment, human capital radiation, regional traffic accessibility, and government decision-making intervention.展开更多
This paper expounds the origin of urban operational coordination problem in historical setting, points out that operational coordination problem is essential to cities, induces the major challenges and opportunities f...This paper expounds the origin of urban operational coordination problem in historical setting, points out that operational coordination problem is essential to cities, induces the major challenges and opportunities for urban operating coordination at present, and takes IBM Intelligent Operation Center as example to illustrate the typical solutions with the detailed case study of the Intelligent Operation Center in Rio de Janerio.展开更多
The urban land-use allocation problem is a spatial optimization problem that allocates optimum land-uses to specific land units in urban areas.This problem is an NP(nondeterministic polynomial time)-hard problem becau...The urban land-use allocation problem is a spatial optimization problem that allocates optimum land-uses to specific land units in urban areas.This problem is an NP(nondeterministic polynomial time)-hard problem because of involving many objective functions,many constraints,and complex search space.Moreover,this subject is an important issue in smart cities and newly developed areas of cities to achieve a sustainable arrangement of land-uses.Different types ofMulti-Objective Optimization Algorithms(MOOAs)based on Artificial Intelligence(AI)have been frequently employed,but their ability and performance have not been evaluated and compared properly.This paper aims to employ and compare three commonly used MOOAs i.e.NSGA-II,MOPSO,and MOEA/D in urban land-use allocation problems.Selected algorithms belong to different categories of MOOAs family to investigate their advantage and disadvantages.The objective functions of this study are compatibility,dependency,suitability,and compactness of land-uses and the constraint is compensating of Per-Capita demand in the urban environment.Evaluation of results is based on the dispersion of the solutions,diversity of the solutions’space,and comparing the number of dominant solutions in Pareto-Fronts.The results showed that all three algorithms improved the objective functions related to the current arrangement of the land-uses.However,the run time of NSGA-II is the worst,related to the Diversity Metric(DM)which represents the regularity of the distance between solutions at the highest degree.Moreover,MOPSO provides the best Scattering Diversity Metric(SDM)which shows the diversity of solutions in the solution space.Furthermore,In terms of algorithm execution time,MOEA/D performed better than the other two.So,Decision-makers should consider different aspects in choosing the appropriate MOOA for land-use management problems.展开更多
The present study aimed to design,develop,operate and evaluate a sightseeing spot recommendation system as a smart tourism tool that gathers and accumulates sightseeing spot information and considers personal preferen...The present study aimed to design,develop,operate and evaluate a sightseeing spot recommendation system as a smart tourism tool that gathers and accumulates sightseeing spot information and considers personal preferences as well as priority conditions to support tourism activities,especially in urban tourist areas.The system was developed by integrating web-geographic information systems(Web-GIS),the recommendation system and the evaluation system.Additionally,the system was operated for 4 weeks in the central part of Yokohama City in Kanagawa Prefecture,Japan,and the total number of users was 62.Based on the results of the web questionnaire survey,the system was highly useful for sightseeing activities,and further utilization of each function can be expected by continuing the operation.From the results of access analysis of users’log data,it is evident that the system has been used by different types of information terminals just as it was designed for,and that the system has been used according to the purpose of the present study,which is to support the sightseeing activities of users.However,the number of visits to pages related to the evaluation function of sightseeing spots and submitting function of new sightseeing spot information was low.This may improve if the system operation is conducted on a long-term basis.展开更多
In order to make rail transit smart stations serve passengers better,the potential of smart stations should be optimized to reduce time cost,and relieve traffic congestion.In this paper,the construction of smart stati...In order to make rail transit smart stations serve passengers better,the potential of smart stations should be optimized to reduce time cost,and relieve traffic congestion.In this paper,the construction of smart stations based on the management experience of a subway station and the benefits of smart stations were analyzed and discussed.The construction of smart stations,as well as the key technologies for the construction of smart stations,will aid in the automation and intelligent management of subway stations.展开更多
With the progress and development of economic society,the defects in traditional urbanplanning have gradually become prominent,resulting in more and more serious urban diseases.Variousproblems in urban construction ha...With the progress and development of economic society,the defects in traditional urbanplanning have gradually become prominent,resulting in more and more serious urban diseases.Variousproblems in urban construction have produced a series of adverse effects on urban development.Facedwith such situations,major cities actively explore smart and ecological construction,and take ecology as theguide to promote sustainable development on the concept of smart ecology under the background of bigdata information age.Based on this,relevant strategies of smart eco-city planning in urban planning anddesign are analyzed,and the planning and design ideas under smart ecological concept are discussed fromthe aspects of living environment,green transportation and ecological governance,hoping that theoreticaldiscussion will be helpful to the design practice.展开更多
As cities worldwide face increasing energy demands and environmental sustainability challenges,the need for innovative solutions becomes more urgent.Smart cities,driven by advances in Artificial Intelligence(AI),offer...As cities worldwide face increasing energy demands and environmental sustainability challenges,the need for innovative solutions becomes more urgent.Smart cities,driven by advances in Artificial Intelligence(AI),offer promising avenues for enhancing energy efficiency,optimizing urban planning,and improving overall urban living conditions.This research explores how AI can be leveraged to develop energy-efficient smart cities by focusing on architectural and urban planning solutions that promote sustainable growth.The study includes a comprehensive literature review on the role of AI in managing energy consumption,optimizing transportation systems,and aiding urban planning efforts.A critical component of this research is the comparative analysis of case studies from both Jordan and international cities,such as Singapore,Barcelona,and Copenhagen,to evaluate the potential of AI-driven solutions in local contexts.This paper presents a case study applying an AI-driven smart city model to Amman,Jordan,where the city's urban infrastructure,energy management,and transportation systems are analyzed using AI-powered simulations.By integrating real-time data from IoT devices,geographic information systems(GIS),and digital twin technologies,the study simulates energy-saving interventions,improved traffic flow,and optimized urban designs.The research also compares the outcomes from Jordanian developments like Abdali Boulevard and Saraya Aqaba with international examples,revealing valuable insights into the progress and challenges of implementing smart city solutions in Jordan.Key outcomes include a reduction in energy consumption,carbon emissions,traffic congestion,and overall cost savings,demonstrating how AI can contribute to the sustainable development of modern cities.The findings from the case study provide a framework for the application of AI in other urban environments facing similar sustainability challenges,with a focus on enhancing local policy frameworks,infrastructure,and capacity to enable the successful integration of AI solutions.展开更多
Ambulances in Hangzhou City, east China's Zhejiang Province, are super efficient. They can transport a patient to hospital from any given point in half the standard time. How, you may ask. Are their vehicles faste...Ambulances in Hangzhou City, east China's Zhejiang Province, are super efficient. They can transport a patient to hospital from any given point in half the standard time. How, you may ask. Are their vehicles faster? Or have ambulance drivers received the same train-ing as Formula One pilots? Actually, the rea-son is all to do with "smart transportation."展开更多
with the rapid development of China's information technology, China's urban construction rail transit is becoming more and more developed. Rail transit is one of the important tools to relieve the pressure of ...with the rapid development of China's information technology, China's urban construction rail transit is becoming more and more developed. Rail transit is one of the important tools to relieve the pressure of urban traffic, and its role in urban development is very important. The construction of smart stations in rail transit can not only better relieve urban traffic pressure, but also realize diversified smart station management, and ensure that people can take rail transit more conveniently, and improve travel efficiency and quality. Based on this, this paper focuses on the analysis of the development prospects of smart stations in urban rail transit for reference.展开更多
基金The researchers would like to thank the Deanship of Graduate Studies and Scientific Research at Qassim University for financial support(QU-APC-2025)。
文摘The evolution of cities into digitally managed environments requires computational systems that can operate in real time while supporting predictive and adaptive infrastructure management.Earlier approaches have often advanced one dimension—such as Internet of Things(IoT)-based data acquisition,Artificial Intelligence(AI)-driven analytics,or digital twin visualization—without fully integrating these strands into a single operational loop.As a result,many existing solutions encounter bottlenecks in responsiveness,interoperability,and scalability,while also leaving concerns about data privacy unresolved.This research introduces a hybrid AI–IoT–Digital Twin framework that combines continuous sensing,distributed intelligence,and simulation-based decision support.The design incorporates multi-source sensor data,lightweight edge inference through Convolutional Neural Networks(CNN)and Long ShortTerm Memory(LSTM)models,and federated learning enhanced with secure aggregation and differential privacy to maintain confidentiality.A digital twin layer extends these capabilities by simulating city assets such as traffic flows and water networks,generating what-if scenarios,and issuing actionable control signals.Complementary modules,including model compression and synchronization protocols,are embedded to ensure reliability in bandwidth-constrained and heterogeneous urban environments.The framework is validated in two urban domains:traffic management,where it adapts signal cycles based on real-time congestion patterns,and pipeline monitoring,where it anticipates leaks through pressure and vibration data.Experimental results show a 28%reduction in response time,a 35%decrease in maintenance costs,and a marked reduction in false positives relative to conventional baselines.The architecture also demonstrates stability across 50+edge devices under federated training and resilience to uneven node participation.The proposed system provides a scalable and privacy-aware foundation for predictive urban infrastructure management.By closing the loop between sensing,learning,and control,it reduces operator dependence,enhances resource efficiency,and supports transparent governance models for emerging smart cities.
文摘The long-standing use of portable toilet cubicles by residents of Shanghai’s narrow,labyrinthine alleys came to an end in September 2025 after the city largely finished building public toilets to make up their lack of sanitation facilities.The project,targeting 14,082 households,started last year.
基金sponsored by the U.S.Department of Housing and Urban Development(Grant No.NJLTS0027-22)The opinions expressed in this study are the authors alone,and do not represent the U.S.Depart-ment of HUD’s opinions.
文摘This paper addresses urban sustainability challenges amid global urbanization, emphasizing the need for innova tive approaches aligned with the Sustainable Development Goals. While traditional tools and linear models offer insights, they fall short in presenting a holistic view of complex urban challenges. System dynamics (SD) models that are often utilized to provide holistic, systematic understanding of a research subject, like the urban system, emerge as valuable tools, but data scarcity and theoretical inadequacy pose challenges. The research reviews relevant papers on recent SD model applications in urban sustainability since 2018, categorizing them based on nine key indicators. Among the reviewed papers, data limitations and model assumptions were identified as ma jor challenges in applying SD models to urban sustainability. This led to exploring the transformative potential of big data analytics, a rare approach in this field as identified by this study, to enhance SD models’ empirical foundation. Integrating big data could provide data-driven calibration, potentially improving predictive accuracy and reducing reliance on simplified assumptions. The paper concludes by advocating for new approaches that reduce assumptions and promote real-time applicable models, contributing to a comprehensive understanding of urban sustainability through the synergy of big data and SD models.
基金The Enhancement Project of Young Teachers Research Innovation Ability(JKC2022006)Beijing Municipal Higher Education Institutions’Teacher Team Construction Support Plan-High-Level Teaching Innovation Team(BPHR20220211)+1 种基金Beijing Higher Education Undergraduate Teaching Reform and Innovation Project(2023003)2024 Beijing University of Agriculture Student Party Members“Vanguard Force Action”Project。
文摘This paper discusses the development characteristics of urban horticulture under the background of smart agriculture,as well as the application of artificial intelligence technology in it.It analyzes the importance of highly skilled talents in urban agriculture in the era of smart agriculture and their cultivation pathways and practices.It proposes measures such as building multi-level practical teaching platforms,implementing the“Enjoy Horticulture”series of high-quality activities,and establishing the“1234”applied talent training model to cultivate high-quality talents that meet the development needs of modern urban horticulture industry.Taking Beijing University of Agriculture and other universities as examples,the paper analyzes the practical cases and effects of the urban horticulture discipline’s industry-education-research collaborative talent training model,which has reference significance for further improving and perfecting the urban horticulture industry-education-research collaborative talent training plan.
文摘The world is being swept by the wave of smart cities,and Geographic Information System(GIS)technology plays a key role in it.This article explores the application status and development trend of GIS technology in urban planning from the perspective of smart cities.By sorting out the application value of GIS in urban strategic layout,multi system collaboration,and precise services,it explains the necessity of promoting the transformation of planning towards intelligence.We have summarized and organized the practical points of GIS in areas such as overall planning,underground space,landscape,and transportation,including spatial simulation,3D management,ecological integration,and dynamic optimization.Looking ahead to the future,the cross integration of GIS with artificial intelligence,3D modeling,carbon neutrality monitoring,data collaboration,and other technologies will drive planning towards a new stage of development that is more intelligent,refined,open,and green.With the empowerment of GIS,we aim to create sustainable cities that are resilient,low-carbon,and inclusive,making urban life better.
基金supported by the China Geological Survey,Nanjing Center,Zhejiang Geological Survey and China University of Geosciences,Wuhanfunded by the Laboratory of Geological Safety of Underground Space in Coastal Cities,Ministry of Natural Resources(Project No.BHKF2023×01)the China Geological Survey,Nanjing Center(Project No.DD20190281).
文摘Urban geological information platforms have traditionally focused on static data provision for public service,constrained by funding and limited engagement with engineering applications.This study takes Hangzhou-a major Chinese megacity-as a model to propose a technically integrated platform that aligns with urban infrastructure development,particularly underground space engineering.Through the adoption of the large-scale relational database system Oracle,we first established a comprehensive storage framework for fundamental urban geological and underground infrastructure information,thereby completed the construction of the core databases.To ensure spatial consistency across multi-source data and to meet the platform’s high computational demands while improving overall server responsiveness,we introduced three critical innovations:voxel-based model encoding,distributed computing,and frontend-backend separation with asynchronous processing.To align with urban engineering projects and enhance economic returns,the platform was initially developed through the integration of foundational geological data,including borehole records and aboveground-underground spatial information.Based on this foundation,its practical application in Hangzhou’s Qiantang New Town further demonstrated the platform’s potential in supporting subway routing,underground structure planning,and engineering cost analysis.Consequently,the construction of the Hangzhou geological information platform not only offers robust support for urban decision-making and smart city development but also provides a replicable model for addressing the technical and institutional challenges commonly encountered in the development of urban geological platforms.
基金Grant from Centre for Trusted Internet and Community at the National University of Singapore(Project Number:CTIC-IP-21-01).
文摘Misinformation has led to a crisis of digital wellbeing,especially in smart cities as networked connectivity has placed increasing pressures on individuals’mental and social health.Current academic and popular discourses of digital wellbeing lack discussions on digital citizenship and are encoded in ideologies of neoliberal health,techno-solutionism and techno-determinism.This paper introduces an original digital wellbeing indicator framework to mitigate this crisis and address these gaps by identifying the mutual relationality between urban intelligence and digital citizenship as a key driver of digital wellbeing in the smart city.This paper argues that such an indicator framework is necessary to equip smart cities to move beyond efficiency metrics by embedding human-centred measures of balance,safety,and agency,ensuring that technological progress enhances,rather than erodes,the quality of urban life.
基金funded by Zhejiang Province(grant number jg20220704)Wenzhou University of Technology(grant number ky202415).
文摘Purpose:With the deep integration of information technologies into urban governance,smart communities have emerged as pivotal platforms for advancing sustainable urban development.However,existing research has not offered a systematic analysis or clear presentation of the field’s academic evolution and thematic structure.This study examines the literature on smart communities published between 2000 and 2024.Employing data analysis and visualization tools,it aims to trace the evolution and development trends of smart community research,map its core themes and their interrelationships,and provide actionable insights for policymaking and practical implementation.Design/methodology/approach:Based on 2,347 publications indexed in the Web of Science from 2000 to 2024,this study employed CiteSpace and VOSviewer to conduct co-citation analysis,keyword co-occurrence mapping,national collaboration network analysis,author and institutional contribution assessment,burst detection,and hotspot term analysis.The literature screening adhered to predefined publication-type criteria and citation-count thresholds to ensure that the results were representative and reliable.Findings:This study,through literature analysis and data visualization in the field of smart communities,yields the following principal conclusions.First,the application of digital twin technology in optimizing smart community resources has attracted growing attention,demonstrating considerable potential in urban management,infrastructure maintenance,and resident services.Second,as technology advances,digitaltwin applications are evolving towards greater precision and efficiency,particularly by deepening their support for resource allocation and decision-making processes.Finally,the future development of smart communities will increasingly depend on the deep integration of digital twins with other cutting-edge technologies,thereby driving intelligent management and optimization of community resources.Research limitations:This literature repository excludes grey literature and non-English publications,potentially underestimating the representativeness of grassroots innovation.Furthermore,the temporal analysis was constrained by the citation-lag effects of publications from 2000 to 2024.Practical implications:This study proposes a decision-support toolkit tailored for municipal planners and policymakers.The toolkit comprises three core intervention strategies:multiscale environmental sensing,participatory governance protocols,and regenerative technology pathways.These measures are designed to advance the implementation of the United Nations Sustainable Development Goal 11:Sustainable Cities and Communities.Originality/value:By explicitly defining and applying the“thematic knowledge framework,”this paper offers a concise roadmap for the evolution of smart community research.It also provides precise guidance for designing and implementing community development strategies that align with Sustainable Development Goals.
文摘Due to growing concerns regarding climate change and environmental protection,smart power generation has become essential for the economical and safe operation of both conventional thermal power plants and sustainable energy.Traditional first-principle model-based methods are becoming insufficient when faced with the ever-growing system scale and its various uncertainties.The burgeoning era of machine learning(ML)and data-driven control(DDC)techniques promises an improved alternative to these outdated methods.This paper reviews typical applications of ML and DDC at the level of monitoring,control,optimization,and fault detection of power generation systems,with a particular focus on uncovering how these methods can function in evaluating,counteracting,or withstanding the effects of the associated uncertainties.A holistic view is provided on the control techniques of smart power generation,from the regulation level to the planning level.The benefits of ML and DDC techniques are accordingly interpreted in terms of visibility,maneuverability,flexibility,profitability,and safety(abbreviated as the“5-TYs”),respectively.Finally,an outlook on future research and applications is presented.
文摘As urbanization process has been and will be happening in an unprecedented scale worldwide,strong requirements from academic research and practical fields for smart management and intelligent planning of cities are pressing to handle increasing demands of infrastructure and potential risks of inhabitants’agglomeration in disaster management.Geospatial data and geographic information systems(GISs)are essential components for building smart cities in a basic way that maps the physical world into virtual environment as a referencing framework.On higher level,GIS has been becoming very important in smart cities on different sectors.In the digital city era,digital maps and geospatial databases have long been integrated in workflows in land management,urban planning and transportation in government.People have anticipated GIS to be more powerful not only as an archival and data management tool but also as spatial models for supporting decision-making in intelligent cities.Successful applications have been developed in private and public organizations by using GIS as a platform for data integration,a system for geospatial analysis and collection of models for visualization and decision-making.Location-based services on smart mobile devices in ubiquitous telecommunication networks are now an indispensable function that expands knowledge of the nature and connections among people.On data side,crowd-sourcing,real-time urban sensing and true 3-dimensional(3D)models and visualization have provided more advantages of GIS to final users and at the same time challenged current available solutions and technologies of data handling,visualization and human–computer interaction.On the technological side,Web 2.0 participatory applications provide the framework and environment for GIS to closer link to photogrammetry and computer vision,which empowers smart devices more capabilities.How to manage big geo-tagged data volumes collected by numerous sensors and implement professional GIS functions in a cloud computing environment are urgent questions to facilitate smart cities management.This paper reviews advancements of GIS in the management of cities as information systems to facilitate urban modelling and decision-making,as referencing basis to integrate social network media,and concludes that an interdisciplinary urban GIS is needed to support development of smart cities.We take Singapore as a case of GIS pervasive applications,which has strategically made a master plan of national information infrastructure and has been implementing geospatial collaboration environments for public and private sectors.
基金Under the auspices of National Nature Science Foundation of China(No.41901311)。
文摘Urban agglomeration is the main spatial organization mode used by the Chinese government to promote the policy of new urbanization strategy.Hence,a better understanding of the urban growth boundary(UGB)has profound theoretical and practical significance regarding sustainable urban development.This study devised a raster-based land use spatial optimization(LUSO)framework,and utilized ant colony optimization(ACO)algorithm to delimit the smart growth boundaries of the Changsha-Zhuzhou-Xiangtan city group(CZTCG)in China.The aim of this study is to design a LUSO model to explore an optimal pattern of urban agglomeration for sustainable growth.Multi growth scenario including a single development center,multipolar development and balanced development patterns are generated by the LUSO model for the year of 2050,and the optimum spatial pattern is chosen based on objectives comparison and the present stage of economic and social development in CZTCG.The main results are listed as the following.1)It is feasible to identify the growth boundaries of the urban agglomeration using the land use spatial optimization model,and the optimal form of the spatial pattern can be defined.2)With the growth trend of the urban agglomeration gradually spreads from a single center to multi-centers and even small towns,the total optimization target performance gradually increases,which means that the traditional pie-shaped development does not meet the maximum comprehensive benefit of the city group.3)Subject to the regional social and economic development stage,absolute fair development or simply developing the central city is not conducive to promoting the coordinated development of the urban agglomeration.Gradient equalization and gradual advancement are the best choice for UGB delineation of urban agglomeration.The findings of this study would be useful to identify the UGB in CZTCG for more sustainable urban development in the future.
基金Under the auspices of National Natural Science Foundation of China(No.41101548)Philosophy and Social Science Research Program of Heilongjiang Province in 2016(No.16JBL01)+1 种基金Key Research Projects of Economic and Social Development in Heilongjiang Province(No.JD2016014)Human Civilization and Social Science Supportive Program for Excellent Young Scholars of Harbin Normal University(No.SYQ2014-06)
文摘Smart urban development is an inevitable choice, and is essential to overall strength improvement. It is important to explore an urban smart development path which unites smart growth with driving shrinkage perfectly in forming scientific and sustainable development concept and responding to new normal strategic opportunities. Based on statistic data of 294 prefecture-level cities and above in China from 2000 to 2015, we analyzed spatial and temporal evolution of urban smart development in China by constructing a dynamic fitting model of urban land expansion, population growth, and economic development as well as the coefficient of variation of urban smart development(CVSD). Further efforts were then made to consider differential distribution regularity of urban smart development so as to understand the driving mechanisms of heterogeneous classification of urban smart development in China from different scales and scale variation. Our results indicate that: 1) the disordered growth tendency of urban cities in China is overall well controlled in the middle, and late research and it mainly presented a doublet coexistence of shrinkage disordered cities and smart developing cities. It is particularly obvious that Northeast China and East China have regarded shrinkage disordered cities and smart developing cities as main development tendency separately. 2) Areas with basic stability and relative variation were relatively dispersed across the time period, but the proportion was far beyond areas with significant variation. It demonstrates a relative equilibrium spatial and temporal differential evolution pattern of prefecture-level cities and above in China, except for Tongling, Lanzhou and Chaoyang. 3) prefecture-level cities and above in China are mostly characterized by shrinkage disordered and smart development classification under the background of different scale and scale variation from 2000–2015; however, the spatial resonance relation is not obvious. 4) There are many interaction factors forming an important driving mechanism in developing the spatial and temporal pattern of urban smart development in China, including natural geographical factors, industrial structure adjustment, human capital radiation, regional traffic accessibility, and government decision-making intervention.
文摘This paper expounds the origin of urban operational coordination problem in historical setting, points out that operational coordination problem is essential to cities, induces the major challenges and opportunities for urban operating coordination at present, and takes IBM Intelligent Operation Center as example to illustrate the typical solutions with the detailed case study of the Intelligent Operation Center in Rio de Janerio.
文摘The urban land-use allocation problem is a spatial optimization problem that allocates optimum land-uses to specific land units in urban areas.This problem is an NP(nondeterministic polynomial time)-hard problem because of involving many objective functions,many constraints,and complex search space.Moreover,this subject is an important issue in smart cities and newly developed areas of cities to achieve a sustainable arrangement of land-uses.Different types ofMulti-Objective Optimization Algorithms(MOOAs)based on Artificial Intelligence(AI)have been frequently employed,but their ability and performance have not been evaluated and compared properly.This paper aims to employ and compare three commonly used MOOAs i.e.NSGA-II,MOPSO,and MOEA/D in urban land-use allocation problems.Selected algorithms belong to different categories of MOOAs family to investigate their advantage and disadvantages.The objective functions of this study are compatibility,dependency,suitability,and compactness of land-uses and the constraint is compensating of Per-Capita demand in the urban environment.Evaluation of results is based on the dispersion of the solutions,diversity of the solutions’space,and comparing the number of dominant solutions in Pareto-Fronts.The results showed that all three algorithms improved the objective functions related to the current arrangement of the land-uses.However,the run time of NSGA-II is the worst,related to the Diversity Metric(DM)which represents the regularity of the distance between solutions at the highest degree.Moreover,MOPSO provides the best Scattering Diversity Metric(SDM)which shows the diversity of solutions in the solution space.Furthermore,In terms of algorithm execution time,MOEA/D performed better than the other two.So,Decision-makers should consider different aspects in choosing the appropriate MOOA for land-use management problems.
文摘The present study aimed to design,develop,operate and evaluate a sightseeing spot recommendation system as a smart tourism tool that gathers and accumulates sightseeing spot information and considers personal preferences as well as priority conditions to support tourism activities,especially in urban tourist areas.The system was developed by integrating web-geographic information systems(Web-GIS),the recommendation system and the evaluation system.Additionally,the system was operated for 4 weeks in the central part of Yokohama City in Kanagawa Prefecture,Japan,and the total number of users was 62.Based on the results of the web questionnaire survey,the system was highly useful for sightseeing activities,and further utilization of each function can be expected by continuing the operation.From the results of access analysis of users’log data,it is evident that the system has been used by different types of information terminals just as it was designed for,and that the system has been used according to the purpose of the present study,which is to support the sightseeing activities of users.However,the number of visits to pages related to the evaluation function of sightseeing spots and submitting function of new sightseeing spot information was low.This may improve if the system operation is conducted on a long-term basis.
文摘In order to make rail transit smart stations serve passengers better,the potential of smart stations should be optimized to reduce time cost,and relieve traffic congestion.In this paper,the construction of smart stations based on the management experience of a subway station and the benefits of smart stations were analyzed and discussed.The construction of smart stations,as well as the key technologies for the construction of smart stations,will aid in the automation and intelligent management of subway stations.
文摘With the progress and development of economic society,the defects in traditional urbanplanning have gradually become prominent,resulting in more and more serious urban diseases.Variousproblems in urban construction have produced a series of adverse effects on urban development.Facedwith such situations,major cities actively explore smart and ecological construction,and take ecology as theguide to promote sustainable development on the concept of smart ecology under the background of bigdata information age.Based on this,relevant strategies of smart eco-city planning in urban planning anddesign are analyzed,and the planning and design ideas under smart ecological concept are discussed fromthe aspects of living environment,green transportation and ecological governance,hoping that theoreticaldiscussion will be helpful to the design practice.
文摘As cities worldwide face increasing energy demands and environmental sustainability challenges,the need for innovative solutions becomes more urgent.Smart cities,driven by advances in Artificial Intelligence(AI),offer promising avenues for enhancing energy efficiency,optimizing urban planning,and improving overall urban living conditions.This research explores how AI can be leveraged to develop energy-efficient smart cities by focusing on architectural and urban planning solutions that promote sustainable growth.The study includes a comprehensive literature review on the role of AI in managing energy consumption,optimizing transportation systems,and aiding urban planning efforts.A critical component of this research is the comparative analysis of case studies from both Jordan and international cities,such as Singapore,Barcelona,and Copenhagen,to evaluate the potential of AI-driven solutions in local contexts.This paper presents a case study applying an AI-driven smart city model to Amman,Jordan,where the city's urban infrastructure,energy management,and transportation systems are analyzed using AI-powered simulations.By integrating real-time data from IoT devices,geographic information systems(GIS),and digital twin technologies,the study simulates energy-saving interventions,improved traffic flow,and optimized urban designs.The research also compares the outcomes from Jordanian developments like Abdali Boulevard and Saraya Aqaba with international examples,revealing valuable insights into the progress and challenges of implementing smart city solutions in Jordan.Key outcomes include a reduction in energy consumption,carbon emissions,traffic congestion,and overall cost savings,demonstrating how AI can contribute to the sustainable development of modern cities.The findings from the case study provide a framework for the application of AI in other urban environments facing similar sustainability challenges,with a focus on enhancing local policy frameworks,infrastructure,and capacity to enable the successful integration of AI solutions.
文摘Ambulances in Hangzhou City, east China's Zhejiang Province, are super efficient. They can transport a patient to hospital from any given point in half the standard time. How, you may ask. Are their vehicles faster? Or have ambulance drivers received the same train-ing as Formula One pilots? Actually, the rea-son is all to do with "smart transportation."
文摘with the rapid development of China's information technology, China's urban construction rail transit is becoming more and more developed. Rail transit is one of the important tools to relieve the pressure of urban traffic, and its role in urban development is very important. The construction of smart stations in rail transit can not only better relieve urban traffic pressure, but also realize diversified smart station management, and ensure that people can take rail transit more conveniently, and improve travel efficiency and quality. Based on this, this paper focuses on the analysis of the development prospects of smart stations in urban rail transit for reference.
