Employing DEA model and Malmquist productivity index, this paper probes into the urban efficiencies of 24 typical resources-based cities in China and their changes from 2000 to 2008. The research finds that the overal...Employing DEA model and Malmquist productivity index, this paper probes into the urban efficiencies of 24 typical resources-based cities in China and their changes from 2000 to 2008. The research finds that the overall efficiencies of the resources-based cities are just at a general level, and only a few of them reach the optimal level. The scale efficiency is the major determining factor of the achievement of overall efficiency, the effect of which, nevertheless, is reducing. From the perspective of classification characteristics, the resources-based cities in northeastern region have been in the front rank in terms of overall efficiency, pure technical efficiency and scale efficiency. There is a certain positive correlation between urban population scale and urban efficiency. The analysis of urban efficiency changes shows that the changes in overall efficiency of resources-based cities from 2000 to 2008 had a weak improving tendency. Both the technical change index and productivity change index decreased, indicating that the urban efficiency did not improve during this period, and the tendency of technical recession and productivity decline was obvious. In terms of the classification of urban efficiency changes, the urban overall efficiency improved in each of the four regions from 2000 to 2008, among which western region witnessed the greatest increase. Cities with different resource types have improved their urban overall efficiencies except steel-based cities. The urban overall efficiency increased in resources-based cities of different scales, with greater improvement in small and medium-sized cities than in big cities.展开更多
Based on the overall understanding of new cities developing based on resources,by taking Yulin City of Shaanxi Province for example and combining with relevant statistical data,main problems existing in resources deve...Based on the overall understanding of new cities developing based on resources,by taking Yulin City of Shaanxi Province for example and combining with relevant statistical data,main problems existing in resources development have been pointed out,covering simple resources industrial structure and serious wastes in resources development;insufficient intensive processing of products and low level of resources integrated utilization;and deteriorative regional eco-environment.On this basis,a new mode of landscape ecology of resource-based cities have been proposed,emphasizing constructing new green energy industrial development mode from the perspective of microscopic view;ecological industrial park of circular economy from the perspective of mesoscopic view;and the overall ecological recovery mode of the mining area from the perspective of macroscopic view.It hopes to give a vital inspiration to the sustainable development of new resources-based 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
Unmanned Aerial Vehicles(UAVs)have become integral components in smart city infrastructures,supporting applications such as emergency response,surveillance,and data collection.However,the high mobility and dynamic top...Unmanned Aerial Vehicles(UAVs)have become integral components in smart city infrastructures,supporting applications such as emergency response,surveillance,and data collection.However,the high mobility and dynamic topology of Flying Ad Hoc Networks(FANETs)present significant challenges for maintaining reliable,low-latency communication.Conventional geographic routing protocols often struggle in situations where link quality varies and mobility patterns are unpredictable.To overcome these limitations,this paper proposes an improved routing protocol based on reinforcement learning.This new approach integrates Q-learning with mechanisms that are both link-aware and mobility-aware.The proposed method optimizes the selection of relay nodes by using an adaptive reward function that takes into account energy consumption,delay,and link quality.Additionally,a Kalman filter is integrated to predict UAV mobility,improving the stability of communication links under dynamic network conditions.Simulation experiments were conducted using realistic scenarios,varying the number of UAVs to assess scalability.An analysis was conducted on key performance metrics,including the packet delivery ratio,end-to-end delay,and total energy consumption.The results demonstrate that the proposed approach significantly improves the packet delivery ratio by 12%–15%and reduces delay by up to 25.5%when compared to conventional GEO and QGEO protocols.However,this improvement comes at the cost of higher energy consumption due to additional computations and control overhead.Despite this trade-off,the proposed solution ensures reliable and efficient communication,making it well-suited for large-scale UAV networks operating in complex urban environments.展开更多
The rapid digitalization of urban infrastructure has made smart cities increasingly vulnerable to sophisticated cyber threats.In the evolving landscape of cybersecurity,the efficacy of Intrusion Detection Systems(IDS)...The rapid digitalization of urban infrastructure has made smart cities increasingly vulnerable to sophisticated cyber threats.In the evolving landscape of cybersecurity,the efficacy of Intrusion Detection Systems(IDS)is increasingly measured by technical performance,operational usability,and adaptability.This study introduces and rigorously evaluates a Human-Computer Interaction(HCI)-Integrated IDS with the utilization of Convolutional Neural Network(CNN),CNN-Long Short Term Memory(LSTM),and Random Forest(RF)against both a Baseline Machine Learning(ML)and a Traditional IDS model,through an extensive experimental framework encompassing many performance metrics,including detection latency,accuracy,alert prioritization,classification errors,system throughput,usability,ROC-AUC,precision-recall,confusion matrix analysis,and statistical accuracy measures.Our findings consistently demonstrate the superiority of the HCI-Integrated approach utilizing three major datasets(CICIDS 2017,KDD Cup 1999,and UNSW-NB15).Experimental results indicate that the HCI-Integrated model outperforms its counterparts,achieving an AUC-ROC of 0.99,a precision of 0.93,and a recall of 0.96,while maintaining the lowest false positive rate(0.03)and the fastest detection time(~1.5 s).These findings validate the efficacy of incorporating HCI to enhance anomaly detection capabilities,improve responsiveness,and reduce alert fatigue in critical smart city applications.It achieves markedly lower detection times,higher accuracy across all threat categories,reduced false positive and false negative rates,and enhanced system throughput under concurrent load conditions.The HCIIntegrated IDS excels in alert contextualization and prioritization,offering more actionable insights while minimizing analyst fatigue.Usability feedback underscores increased analyst confidence and operational clarity,reinforcing the importance of user-centered design.These results collectively position the HCI-Integrated IDS as a highly effective,scalable,and human-aligned solution for modern threat detection environments.展开更多
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
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
Rurbanization,characterized by the integration of rural and urban attributes,holds significant implications for the development and marketing of small and medium-sized cities.This study investigates the effects of rur...Rurbanization,characterized by the integration of rural and urban attributes,holds significant implications for the development and marketing of small and medium-sized cities.This study investigates the effects of rurbanization on city marketing strategies and urban growth through a comprehensive review of recent literature.Key factors influencing rurbanization are identified,along with their impacts on city marketing practices.The findings indicate that rurbanization enhances city branding,attracts new residents and businesses,and promotes sustainable urban development.However,the phenomenon also presents challenges,including infrastructural strain and socio-cultural integration issues.Furthermore,rurbanization influences the socio-economic dynamics of cities,resulting in both opportunities and inequalities that require careful management.The study concludes with actionable recommendations for leveraging rurbanization to achieve positive city marketing outcomes while addressing associated challenges.This research aims to deepen the understanding of rurbanization and provide practical insights for policymakers,urban planners,and marketers in small and medium-sized cities,enabling them to optimize their growth strategies effectively.展开更多
Rapid urbanization has been happening around the world,leading to many challenges and difficulties in infrastructure,communication network,transportation,environmental and organizational problems.Proper and responsibl...Rapid urbanization has been happening around the world,leading to many challenges and difficulties in infrastructure,communication network,transportation,environmental and organizational problems.Proper and responsible management of urban resources plays a significant role in sustainable development.Smart sustainable cities use ICTs(Information and Communication Technologies)to improve quality of life,efficiency of urban operation and services.The latest advancement in communication,technology,data management,and IoT(Internet of Things)provide a tremendous role for practical implementations and adoption of devices and entities.Smart sustainable cities can be intellectualized as an innovative approach of controlling urban resources and valuable components based on the latest advancement in ICT.Our study focuses on reviewing and discussing the literature that states the vital components of IoT associated with smart sustainable cities in general and specifically with green energy.展开更多
Beijing defines a new model for digital-friendly cities where technology meets people’s needs and global cooperation drives inclusivity.THE 6,000-square-meter Beijing FUN Digital Complex,a vibrant pedestrian street i...Beijing defines a new model for digital-friendly cities where technology meets people’s needs and global cooperation drives inclusivity.THE 6,000-square-meter Beijing FUN Digital Complex,a vibrant pedestrian street in the historic Qianmen area of central Beijing,was bustling with visitors during the 2025 Beijing Digital Economy Experience Week,held from June 27 to July 5.Some climbed into a full-size C919 flight simulator,while others put on a domestically-made 8K VR headset to test a real-time voice-interaction model,immersing themselves in a dazzling virtual world.展开更多
Urban vitality is one of the key indicators of sustainable urban development and an important factor for shrinking cities to achieve internal optimization.The relationship between the built environment and urban vital...Urban vitality is one of the key indicators of sustainable urban development and an important factor for shrinking cities to achieve internal optimization.The relationship between the built environment and urban vitality has been extensively discussed.However,the moderating effect of housing vacancy on the built environment’s effect on urban vitality in shrinking cities has not been explored in detail.This paper selected Yichun District in Yichun City of Heilongjiang Province,a typical shrinking city in Northeast China,as the study area,focusing on the effect of the built environment on urban vitality in shrinking cities based on residential and commercial electricity consumption data for 2013 and 2018.Moreover,this study also explored the moderating mechanisms of residential and commercial housing vacancies on the built environment’s effect on urban vitality.The results demonstrate that the spatial pattern of urban vitality in the Yichun District is‘high in the center and low in the periphery’.Population density,building age,road density,and catering facilities are recognized as the main built environment factors affecting the vitality of shrinking cities.Residential and commercial housing vacancies have a significant moderating effect on the built environment’s effect on urban vitality.Residential housing vacancies enhance the positive effect of road density and the negative effect of greening rate.In addition,commercial housing vacancies suppress the positive effect of building density and enhance the positive effect of accessibility to urban service facilities.The study indicates that built environment factors exhibit heterogeneous effects on vitality in the context of urban shrinkage,as moderated by housing vacancies.Targeted regulation of built environment factors is of practical significance in realizing the internal development and vitality enhancement of shrinking cities.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
The smart city is not only a crucial means of promoting sustainable development,but also a strategic approach to advancing scientific urban development and governance on a global scale.Based on a textual co-occurrence...The smart city is not only a crucial means of promoting sustainable development,but also a strategic approach to advancing scientific urban development and governance on a global scale.Based on a textual co-occurrence analysis of policy documents,this study examines the components,development pathways,and models of smart cities in China.It identifies three distinct phases in the development process:the information project-driven phase,the holistic development phase,and the collaborative development phase.Overall,the development of smart cities in China-characterized by a strong focus on information technology projects-was primarily initiated by both central and local governments.Reflecting on the informatization process and the trajectory of smart city development in China since the mid-1990s,this paper argues that smart city initiatives must evolve beyond a purely technology-driven framework toward a more human-centered approach.Against the backdrop of ongoing urbanization and urban transformation in China,this study proposes future development strategies that integrate top-down government planning with bottom-up public engagement.It advocates for a comprehensive framework that integrates technology,human needs,and spatial planning,emphasizing the spatiotemporal coordination between technological implementation and stakeholder demands.This research offers valuable insights and strategic guidance for the future development of smart cities worldwide.展开更多
The aim of this study is to develop an understanding on the contributing influences that occur among qualities of public space,public space aesthetics,the comfort derived in public space and public space accessibility...The aim of this study is to develop an understanding on the contributing influences that occur among qualities of public space,public space aesthetics,the comfort derived in public space and public space accessibility in science cities.This study seeks to investigate the extent at which public space attributes impact on one another.The emphasis accruing to open greenery including public spaces in the physical development of science cities necessitates the selection of Cyberjaya Malaysia as the study area.Survey questionnaires were used to investigate potential respondent’s perceptions on public space utilization and the feedback was validated with SEM(structural equation modelling).The findings indicated that the accessibility attributes significantly influenced other public space utilization attributes while good quality of public space influenced the comfort derived from it.Attractiveness of public space was found not capable to predict the comfort and good quality of public space.展开更多
Research on urban health constitutes an important issue in the field of health geography and also a strong propeller of the Healthy China Initiative.As the main form that realizes new-type urbanization,urban agglomera...Research on urban health constitutes an important issue in the field of health geography and also a strong propeller of the Healthy China Initiative.As the main form that realizes new-type urbanization,urban agglomerations should become the primal sites for the construction of a“Healthy China”.The evaluation of healthy cities’development in urban agglomerations has both theoretical and practical values.Based on the concept of urban health and its evaluation models,this paper developed an evaluation framework for healthy cities that involved multiple data sources.With 19 urban agglomerations in China as the research subjects,we used CRITIC weighting and geographical detectors to examine the geographies of healthy cities and their influencing factors in 2010 and 2020.The results were fourfold.Firstly,the urban health level of China significantly increased from 2010 to 2020,and the comprehensive health index developed towards a positive skewed distribution,along with a shift from“low in the hinterland-high in the coastal areas”to a“multipolar”pattern led by the coastal and southwest urban agglomerations.Secondly,among various dimensions of urban health,the healthy environment index became improved with narrowed regional differences;while the health services index was still polarized;health collaboration was upgraded with a strengthened intercity health network;the healthy population index slightly declined and converged to the middle.Thirdly,urban health in China has initially demonstrated the characteristics of a H-H pattern in the Yangtze River Delta and ChengduChongqing regions,as well as L-L clusters in the northern urban agglomerations,the narrowed regional differences,and increasing coordination within each urban agglomeration.Fourthly,the geographical detector found that economy,urbanization and the human capital were significant external factors that affected urban health development.The explanatory power of technological innovation and opening to the outside world were also increasing.The development of healthy cities is yet to be transformed into regional health integration.展开更多
With the upgrading of tourism consumption patterns,the traditional renovation models of waterfront recreational spaces centered on landscape design can no longer meet the commercial and humanistic demands of modern cu...With the upgrading of tourism consumption patterns,the traditional renovation models of waterfront recreational spaces centered on landscape design can no longer meet the commercial and humanistic demands of modern cultural and tourism development.Based on scene theory as the analytical framework and taking the Xuan en Night Banquet Project in Enshi as a case study,this paper explores the design pathway for transforming waterfront areas in tourism cities from"spatial reconstruction"to"scene construction".The study argues that waterfront space renewal should transcend mere physical renovation.By implementing three core strategies:spatial narrative framework,ecological industry creation,and cultural empowerment,it is possible to construct integrated scenarios that blend cultural value,consumption spaces,and lifestyle elements.This approach ultimately fosters sustained vitality in waterfront areas and promotes the high-quality development of cultural and tourism industry.展开更多
Internet of Things(IoT)technology has brought about significant new changes to residents’lives,prompting changes in management models across various industries and promoting the overall intelligence of urban construc...Internet of Things(IoT)technology has brought about significant new changes to residents’lives,prompting changes in management models across various industries and promoting the overall intelligence of urban construction.Especially in the context of continuous technological development,information sensor devices can be effectively utilized to connect multiple dimensions in urban construction,enhancing the intelligence level of cities in China.This paper mainly elaborates on the application significance of IoT technology in smart cities and proposes corresponding measures from aspects such as smart transportation systems,intelligent public utility management,urban safety and monitoring,environmental monitoring,and sustainability,providing references for relevant personnel.展开更多
Promoting environmental sustainability in South Africa’s cities through public participation is vital for foster-ing inclusive governance and equitable decision-making.Currently,63%of South Africa’s population—and ...Promoting environmental sustainability in South Africa’s cities through public participation is vital for foster-ing inclusive governance and equitable decision-making.Currently,63%of South Africa’s population—and 64%of its youth—live in urban areas,with this figure expected to rise to nearly 80%by 2050.Rapid urbanisation brings significant environmental challenges,including air and noise pollution,greenhouse gas(GHG)emissions,and inadequate waste management.Globally,cities contribute over 70%of GHG emissions and consume two-thirds of the world’s energy.South African cities face similar issues:worsening air quality in regions like the Highveld,water scarcity,urban flooding,waste management problems,and biodiversity loss due to urban sprawl.This article explores how South Africa’s consti-tutional and legislative frameworks support public participation in promoting urban environmental sustainability.Using doctrinal research,it examines key legal instruments—including the Constitution and environmental laws—that establish participatory rights and promote transparency,accountability,and inclusivity.The article draws on court decisions and case studies to highlight ongoing barriers to meaningful participation,particularly for marginalised communities.These include administrative inefficiencies,political interference,and unequal access to information and resources.The article concludes by proposing strategies such as capacity-building initiatives,the integration of traditional knowledge systems,and enhanced institutional coordination to strengthen public participation and improve urban environmental outcomes,addressing both global environmental pressures and South Africa’s unique urban sustainability challenges.展开更多
Reducing global carbon dioxide(CO_(2))emissions is essential for meeting climate change mitigation goals,especially in urban areas.In this regard,this study used CO_(2)emissions and energy transition data from 296 Chi...Reducing global carbon dioxide(CO_(2))emissions is essential for meeting climate change mitigation goals,especially in urban areas.In this regard,this study used CO_(2)emissions and energy transition data from 296 China's cities in 2020 and the extended Stochastic Impacts by Regression on Population,Affluence,and Technology(STIRPAT)model to explore the relationship between energy transition and CO_(2)emissions at the city-scale.The findings indicate a spatial distribution of energy transition magnitude that is high in the west and low in the east,which does not align with economic status and total CO_(2)emissions,posing significant challenges for China's energy transition and urban CO_(2)reduction.The STIRPAT model reveals that urban CO_(2)emissions are significantly driven by increases in population size,levels of economic development,and the expansion of transportation infrastructure.Conversely,investments in science and education,the expansion of the tertiary sector,and the disruptive effects of the COVID-19(Coronavirus Disease 2019)pandemic are associated with notable reductions in CO_(2)emissions.Specifically,the analysis estimates that a 1.00%increase in the energy transition degree is associated witha 0.90%decrease in urban CO_(2)emissions.However,regional assessments underscore considerable spatial heterogeneity in the energy transition effect,with CO_(2)reduction benefits being less pronounced in central and western cities.These findings suggest that future clean energy initiatives should be strategically concentrated in eastern China,where the demand and potential for CO_(2)mitigation are greater.This study deepens the understanding of the complex relationship between energy transition and urban CO_(2)emissions,offering valuable insights to inform targeted policy interventions for carbon reduction at the city level.展开更多
基金National Natural Science Foundation of China, No.40701044 National Key Technology R＆D Program, No.2008BAH31B01
文摘Employing DEA model and Malmquist productivity index, this paper probes into the urban efficiencies of 24 typical resources-based cities in China and their changes from 2000 to 2008. The research finds that the overall efficiencies of the resources-based cities are just at a general level, and only a few of them reach the optimal level. The scale efficiency is the major determining factor of the achievement of overall efficiency, the effect of which, nevertheless, is reducing. From the perspective of classification characteristics, the resources-based cities in northeastern region have been in the front rank in terms of overall efficiency, pure technical efficiency and scale efficiency. There is a certain positive correlation between urban population scale and urban efficiency. The analysis of urban efficiency changes shows that the changes in overall efficiency of resources-based cities from 2000 to 2008 had a weak improving tendency. Both the technical change index and productivity change index decreased, indicating that the urban efficiency did not improve during this period, and the tendency of technical recession and productivity decline was obvious. In terms of the classification of urban efficiency changes, the urban overall efficiency improved in each of the four regions from 2000 to 2008, among which western region witnessed the greatest increase. Cities with different resource types have improved their urban overall efficiencies except steel-based cities. The urban overall efficiency increased in resources-based cities of different scales, with greater improvement in small and medium-sized cities than in big cities.
文摘Based on the overall understanding of new cities developing based on resources,by taking Yulin City of Shaanxi Province for example and combining with relevant statistical data,main problems existing in resources development have been pointed out,covering simple resources industrial structure and serious wastes in resources development;insufficient intensive processing of products and low level of resources integrated utilization;and deteriorative regional eco-environment.On this basis,a new mode of landscape ecology of resource-based cities have been proposed,emphasizing constructing new green energy industrial development mode from the perspective of microscopic view;ecological industrial park of circular economy from the perspective of mesoscopic view;and the overall ecological recovery mode of the mining area from the perspective of macroscopic view.It hopes to give a vital inspiration to the sustainable development of new resources-based 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funded by Hung Yen University of Technology and Education under grand number UTEHY.L.2025.62.
文摘Unmanned Aerial Vehicles(UAVs)have become integral components in smart city infrastructures,supporting applications such as emergency response,surveillance,and data collection.However,the high mobility and dynamic topology of Flying Ad Hoc Networks(FANETs)present significant challenges for maintaining reliable,low-latency communication.Conventional geographic routing protocols often struggle in situations where link quality varies and mobility patterns are unpredictable.To overcome these limitations,this paper proposes an improved routing protocol based on reinforcement learning.This new approach integrates Q-learning with mechanisms that are both link-aware and mobility-aware.The proposed method optimizes the selection of relay nodes by using an adaptive reward function that takes into account energy consumption,delay,and link quality.Additionally,a Kalman filter is integrated to predict UAV mobility,improving the stability of communication links under dynamic network conditions.Simulation experiments were conducted using realistic scenarios,varying the number of UAVs to assess scalability.An analysis was conducted on key performance metrics,including the packet delivery ratio,end-to-end delay,and total energy consumption.The results demonstrate that the proposed approach significantly improves the packet delivery ratio by 12%–15%and reduces delay by up to 25.5%when compared to conventional GEO and QGEO protocols.However,this improvement comes at the cost of higher energy consumption due to additional computations and control overhead.Despite this trade-off,the proposed solution ensures reliable and efficient communication,making it well-suited for large-scale UAV networks operating in complex urban environments.
基金funded and supported by the Ongoing Research Funding program(ORF-2025-314),King Saud University,Riyadh,Saudi Arabia.
文摘The rapid digitalization of urban infrastructure has made smart cities increasingly vulnerable to sophisticated cyber threats.In the evolving landscape of cybersecurity,the efficacy of Intrusion Detection Systems(IDS)is increasingly measured by technical performance,operational usability,and adaptability.This study introduces and rigorously evaluates a Human-Computer Interaction(HCI)-Integrated IDS with the utilization of Convolutional Neural Network(CNN),CNN-Long Short Term Memory(LSTM),and Random Forest(RF)against both a Baseline Machine Learning(ML)and a Traditional IDS model,through an extensive experimental framework encompassing many performance metrics,including detection latency,accuracy,alert prioritization,classification errors,system throughput,usability,ROC-AUC,precision-recall,confusion matrix analysis,and statistical accuracy measures.Our findings consistently demonstrate the superiority of the HCI-Integrated approach utilizing three major datasets(CICIDS 2017,KDD Cup 1999,and UNSW-NB15).Experimental results indicate that the HCI-Integrated model outperforms its counterparts,achieving an AUC-ROC of 0.99,a precision of 0.93,and a recall of 0.96,while maintaining the lowest false positive rate(0.03)and the fastest detection time(~1.5 s).These findings validate the efficacy of incorporating HCI to enhance anomaly detection capabilities,improve responsiveness,and reduce alert fatigue in critical smart city applications.It achieves markedly lower detection times,higher accuracy across all threat categories,reduced false positive and false negative rates,and enhanced system throughput under concurrent load conditions.The HCIIntegrated IDS excels in alert contextualization and prioritization,offering more actionable insights while minimizing analyst fatigue.Usability feedback underscores increased analyst confidence and operational clarity,reinforcing the importance of user-centered design.These results collectively position the HCI-Integrated IDS as a highly effective,scalable,and human-aligned solution for modern threat detection environments.
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.
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.
文摘Rurbanization,characterized by the integration of rural and urban attributes,holds significant implications for the development and marketing of small and medium-sized cities.This study investigates the effects of rurbanization on city marketing strategies and urban growth through a comprehensive review of recent literature.Key factors influencing rurbanization are identified,along with their impacts on city marketing practices.The findings indicate that rurbanization enhances city branding,attracts new residents and businesses,and promotes sustainable urban development.However,the phenomenon also presents challenges,including infrastructural strain and socio-cultural integration issues.Furthermore,rurbanization influences the socio-economic dynamics of cities,resulting in both opportunities and inequalities that require careful management.The study concludes with actionable recommendations for leveraging rurbanization to achieve positive city marketing outcomes while addressing associated challenges.This research aims to deepen the understanding of rurbanization and provide practical insights for policymakers,urban planners,and marketers in small and medium-sized cities,enabling them to optimize their growth strategies effectively.
文摘Rapid urbanization has been happening around the world,leading to many challenges and difficulties in infrastructure,communication network,transportation,environmental and organizational problems.Proper and responsible management of urban resources plays a significant role in sustainable development.Smart sustainable cities use ICTs(Information and Communication Technologies)to improve quality of life,efficiency of urban operation and services.The latest advancement in communication,technology,data management,and IoT(Internet of Things)provide a tremendous role for practical implementations and adoption of devices and entities.Smart sustainable cities can be intellectualized as an innovative approach of controlling urban resources and valuable components based on the latest advancement in ICT.Our study focuses on reviewing and discussing the literature that states the vital components of IoT associated with smart sustainable cities in general and specifically with green energy.
文摘Beijing defines a new model for digital-friendly cities where technology meets people’s needs and global cooperation drives inclusivity.THE 6,000-square-meter Beijing FUN Digital Complex,a vibrant pedestrian street in the historic Qianmen area of central Beijing,was bustling with visitors during the 2025 Beijing Digital Economy Experience Week,held from June 27 to July 5.Some climbed into a full-size C919 flight simulator,while others put on a domestically-made 8K VR headset to test a real-time voice-interaction model,immersing themselves in a dazzling virtual world.
基金Under the auspices of the National Natural Science Foundation of China(No.42171191,41771172,42201211,42401249)Science and Technology Development Plan Project of Jilin Province,China(No.20220508025RC)Young Scientist Group Project of Northeast Institute of Geography and Agroecology,Chinese Academy of Sciences(No.2022QNXZ02)。
文摘Urban vitality is one of the key indicators of sustainable urban development and an important factor for shrinking cities to achieve internal optimization.The relationship between the built environment and urban vitality has been extensively discussed.However,the moderating effect of housing vacancy on the built environment’s effect on urban vitality in shrinking cities has not been explored in detail.This paper selected Yichun District in Yichun City of Heilongjiang Province,a typical shrinking city in Northeast China,as the study area,focusing on the effect of the built environment on urban vitality in shrinking cities based on residential and commercial electricity consumption data for 2013 and 2018.Moreover,this study also explored the moderating mechanisms of residential and commercial housing vacancies on the built environment’s effect on urban vitality.The results demonstrate that the spatial pattern of urban vitality in the Yichun District is‘high in the center and low in the periphery’.Population density,building age,road density,and catering facilities are recognized as the main built environment factors affecting the vitality of shrinking cities.Residential and commercial housing vacancies have a significant moderating effect on the built environment’s effect on urban vitality.Residential housing vacancies enhance the positive effect of road density and the negative effect of greening rate.In addition,commercial housing vacancies suppress the positive effect of building density and enhance the positive effect of accessibility to urban service facilities.The study indicates that built environment factors exhibit heterogeneous effects on vitality in the context of urban shrinkage,as moderated by housing vacancies.Targeted regulation of built environment factors is of practical significance in realizing the internal development and vitality enhancement of shrinking cities.
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Under the auspices of National Natural Science Foundation of China(No.42330510,42471245,52478061,52478060)。
文摘The smart city is not only a crucial means of promoting sustainable development,but also a strategic approach to advancing scientific urban development and governance on a global scale.Based on a textual co-occurrence analysis of policy documents,this study examines the components,development pathways,and models of smart cities in China.It identifies three distinct phases in the development process:the information project-driven phase,the holistic development phase,and the collaborative development phase.Overall,the development of smart cities in China-characterized by a strong focus on information technology projects-was primarily initiated by both central and local governments.Reflecting on the informatization process and the trajectory of smart city development in China since the mid-1990s,this paper argues that smart city initiatives must evolve beyond a purely technology-driven framework toward a more human-centered approach.Against the backdrop of ongoing urbanization and urban transformation in China,this study proposes future development strategies that integrate top-down government planning with bottom-up public engagement.It advocates for a comprehensive framework that integrates technology,human needs,and spatial planning,emphasizing the spatiotemporal coordination between technological implementation and stakeholder demands.This research offers valuable insights and strategic guidance for the future development of smart cities worldwide.
文摘The aim of this study is to develop an understanding on the contributing influences that occur among qualities of public space,public space aesthetics,the comfort derived in public space and public space accessibility in science cities.This study seeks to investigate the extent at which public space attributes impact on one another.The emphasis accruing to open greenery including public spaces in the physical development of science cities necessitates the selection of Cyberjaya Malaysia as the study area.Survey questionnaires were used to investigate potential respondent’s perceptions on public space utilization and the feedback was validated with SEM(structural equation modelling).The findings indicated that the accessibility attributes significantly influenced other public space utilization attributes while good quality of public space influenced the comfort derived from it.Attractiveness of public space was found not capable to predict the comfort and good quality of public space.
基金National Natural Science Foundation of China,No.42171216,No.71733001Key R&D Program of Beijing Municipal Education Commission,No.KZ202210038047Tsinghua University Initiative Scientific Research Program,No.2022THZWJC15。
文摘Research on urban health constitutes an important issue in the field of health geography and also a strong propeller of the Healthy China Initiative.As the main form that realizes new-type urbanization,urban agglomerations should become the primal sites for the construction of a“Healthy China”.The evaluation of healthy cities’development in urban agglomerations has both theoretical and practical values.Based on the concept of urban health and its evaluation models,this paper developed an evaluation framework for healthy cities that involved multiple data sources.With 19 urban agglomerations in China as the research subjects,we used CRITIC weighting and geographical detectors to examine the geographies of healthy cities and their influencing factors in 2010 and 2020.The results were fourfold.Firstly,the urban health level of China significantly increased from 2010 to 2020,and the comprehensive health index developed towards a positive skewed distribution,along with a shift from“low in the hinterland-high in the coastal areas”to a“multipolar”pattern led by the coastal and southwest urban agglomerations.Secondly,among various dimensions of urban health,the healthy environment index became improved with narrowed regional differences;while the health services index was still polarized;health collaboration was upgraded with a strengthened intercity health network;the healthy population index slightly declined and converged to the middle.Thirdly,urban health in China has initially demonstrated the characteristics of a H-H pattern in the Yangtze River Delta and ChengduChongqing regions,as well as L-L clusters in the northern urban agglomerations,the narrowed regional differences,and increasing coordination within each urban agglomeration.Fourthly,the geographical detector found that economy,urbanization and the human capital were significant external factors that affected urban health development.The explanatory power of technological innovation and opening to the outside world were also increasing.The development of healthy cities is yet to be transformed into regional health integration.
文摘With the upgrading of tourism consumption patterns,the traditional renovation models of waterfront recreational spaces centered on landscape design can no longer meet the commercial and humanistic demands of modern cultural and tourism development.Based on scene theory as the analytical framework and taking the Xuan en Night Banquet Project in Enshi as a case study,this paper explores the design pathway for transforming waterfront areas in tourism cities from"spatial reconstruction"to"scene construction".The study argues that waterfront space renewal should transcend mere physical renovation.By implementing three core strategies:spatial narrative framework,ecological industry creation,and cultural empowerment,it is possible to construct integrated scenarios that blend cultural value,consumption spaces,and lifestyle elements.This approach ultimately fosters sustained vitality in waterfront areas and promotes the high-quality development of cultural and tourism industry.
文摘Internet of Things(IoT)technology has brought about significant new changes to residents’lives,prompting changes in management models across various industries and promoting the overall intelligence of urban construction.Especially in the context of continuous technological development,information sensor devices can be effectively utilized to connect multiple dimensions in urban construction,enhancing the intelligence level of cities in China.This paper mainly elaborates on the application significance of IoT technology in smart cities and proposes corresponding measures from aspects such as smart transportation systems,intelligent public utility management,urban safety and monitoring,environmental monitoring,and sustainability,providing references for relevant personnel.
基金supported by the National Research Foundation(NRF)of South Africa grant number[115581].
文摘Promoting environmental sustainability in South Africa’s cities through public participation is vital for foster-ing inclusive governance and equitable decision-making.Currently,63%of South Africa’s population—and 64%of its youth—live in urban areas,with this figure expected to rise to nearly 80%by 2050.Rapid urbanisation brings significant environmental challenges,including air and noise pollution,greenhouse gas(GHG)emissions,and inadequate waste management.Globally,cities contribute over 70%of GHG emissions and consume two-thirds of the world’s energy.South African cities face similar issues:worsening air quality in regions like the Highveld,water scarcity,urban flooding,waste management problems,and biodiversity loss due to urban sprawl.This article explores how South Africa’s consti-tutional and legislative frameworks support public participation in promoting urban environmental sustainability.Using doctrinal research,it examines key legal instruments—including the Constitution and environmental laws—that establish participatory rights and promote transparency,accountability,and inclusivity.The article draws on court decisions and case studies to highlight ongoing barriers to meaningful participation,particularly for marginalised communities.These include administrative inefficiencies,political interference,and unequal access to information and resources.The article concludes by proposing strategies such as capacity-building initiatives,the integration of traditional knowledge systems,and enhanced institutional coordination to strengthen public participation and improve urban environmental outcomes,addressing both global environmental pressures and South Africa’s unique urban sustainability challenges.
基金Under the auspices of National Natural Science Foundation of China(No.42471191)Fujian Provincial Department of Science and Technology(No.2023R1039)Ministry of Education of Humanities and Social Science Research Project(No.21YJCZH006)。
文摘Reducing global carbon dioxide(CO_(2))emissions is essential for meeting climate change mitigation goals,especially in urban areas.In this regard,this study used CO_(2)emissions and energy transition data from 296 China's cities in 2020 and the extended Stochastic Impacts by Regression on Population,Affluence,and Technology(STIRPAT)model to explore the relationship between energy transition and CO_(2)emissions at the city-scale.The findings indicate a spatial distribution of energy transition magnitude that is high in the west and low in the east,which does not align with economic status and total CO_(2)emissions,posing significant challenges for China's energy transition and urban CO_(2)reduction.The STIRPAT model reveals that urban CO_(2)emissions are significantly driven by increases in population size,levels of economic development,and the expansion of transportation infrastructure.Conversely,investments in science and education,the expansion of the tertiary sector,and the disruptive effects of the COVID-19(Coronavirus Disease 2019)pandemic are associated with notable reductions in CO_(2)emissions.Specifically,the analysis estimates that a 1.00%increase in the energy transition degree is associated witha 0.90%decrease in urban CO_(2)emissions.However,regional assessments underscore considerable spatial heterogeneity in the energy transition effect,with CO_(2)reduction benefits being less pronounced in central and western cities.These findings suggest that future clean energy initiatives should be strategically concentrated in eastern China,where the demand and potential for CO_(2)mitigation are greater.This study deepens the understanding of the complex relationship between energy transition and urban CO_(2)emissions,offering valuable insights to inform targeted policy interventions for carbon reduction at the city level.
