The resource-based city can divides according to the Israeli resource type and development phase two big standards. The resource-based city economic transformation strategy first should from the macroscopic level, see...The resource-based city can divides according to the Israeli resource type and development phase two big standards. The resource-based city economic transformation strategy first should from the macroscopic level, seek for the regional economic development the new superiority, next should act according to the new regional development favorable condition that establishes the pattern of industrial transformation from the microscopic level.展开更多
Ecological planning plays an important role in the construction of cities. Huaibei is a typical coal resource-based city, the abundant coal resources lay a solid foundation for its economic development. Coal mining ha...Ecological planning plays an important role in the construction of cities. Huaibei is a typical coal resource-based city, the abundant coal resources lay a solid foundation for its economic development. Coal mining has induced a series of social problems, and affected the regional social and economic development. Ecological planning of Huaibei City concentrates on ecological restoration of coal mining subsidence, and applies circular economy to develop eco-agriculture, eco-tourism and eco-industry, which will contribute considerably to the economic transformation of the city. Analytic Hierarchy Process and mathematical statistical model were applied to calculate sustainable development indexes of Huaibei from 2002 to 2010. By evaluating the indexes, it was found that Huaibei City has a low sustainable development level, and 3 imbalanced subsystems as the major obstacle. The authors proposed countermeasures according to specific conditions of the city.展开更多
Green transformation is an unavoidable choice for resource-based cities(RBCs)that face resource depletion and environmental pollution.Existing research has focused primarily on specific RBCs,making it challenging to a...Green transformation is an unavoidable choice for resource-based cities(RBCs)that face resource depletion and environmental pollution.Existing research has focused primarily on specific RBCs,making it challenging to apply green transformation strategies universally across cities.The fuzzy set qualitative comparative analysis(fsQCA)is a combination of qualitative and quantitative analyses that can handle multiple concurrent causality problems and determine how different conditions combine into configurations and generate an outcome.Thus,to address this gap,in this study,we established a research framework for green transformation and utilized the fsQCA to examine the configurations of 113 RBCs in China.By incorporating the element of time,this study explored the dynamic evolution of solutions in 2013,2016,and 2019.The main findings indicate that individual elements do not constitute the necessary conditions for improving the green transformation efficiency(GTE),and the systematic combination of multiple conditions is an effective path for realizing the improvement of the GTE in RBCs.Green transformation paths of RBCs exhibit the same destination through different paths.Additionally,the combination of system environment elements and system structure elements is both complementary and alternative.Differences in RBCs have led to various factor combinations and development paths,but there are some similarities in the key elements of the factor combinations at different stages.Economic environment,government support,and technological innovation are key factors that universally enhance the GTE in RBCs.These insights can assist city managers in formulating policies to drive green transformation and contribute to a better theoretical understanding of green transformation paths in RBCs.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
Firm entry plays an important role in the industrial transformation of mature resource-based cities.This study describes the industrial evolution of resource-based cities at the firm level and uses kernel density esti...Firm entry plays an important role in the industrial transformation of mature resource-based cities.This study describes the industrial evolution of resource-based cities at the firm level and uses kernel density estimation and econometric models to study the spatiotemporal characteristics and determinants of new firm entry from 2011 to 2019 in four mature resource-based cities.The results are summarized as follows:(1)New resource-based firm entry tends to be natural resource-oriented and path-dependent.The new non-resource-based firms show a high concentration in central urban areas,and the industry types are mainly wholesale and retail of resource products,cultural tourism,and equipment manufacturing.(2)Heterogeneous incumbent firms affect firm entry differently.Affected by competition and agglomeration effects,resource-based and non-resource-based incumbent firms have negative and positive impacts on new resource-based firm entry,respectively.Resourcebased incumbent firm agglomeration positively influences new non-resource-based firm entry.(3)Besides incumbent firms,firm entry can also be affected by multidimensional factors,such as factor costs,economic environment,and institutional environment.Research on new firm entry can better reveal the path dependence and path creation process of the industrial development of resource-based cities from a micro-perspective.展开更多
Characteristic towns as a characteristic industry are one of the important measures of China's new urbanization strategy. The construction of characteristic towns in different regions needs to pay attention to reg...Characteristic towns as a characteristic industry are one of the important measures of China's new urbanization strategy. The construction of characteristic towns in different regions needs to pay attention to regional differentiation. At present, the research on characteristic towns focuses on the developed the developed central and eastern regions. There are still few studies on characteristics towns in underdeveloped areas. Starting from the analysis of the concept of the characteristic town, this paper sorted out the general situation of the construction of characteristic towns in China based on the existing research literature, selected Ganzhou City for research, pointed out there were "two restrictions and two singles" in the construction of characteristic towns in Ganzhou City, and clarified that the characteristic towns of Ganzhou City should adhere to the construction path of "two characteristics and two integrations", with a view to providing a useful reference for in Ganzhou City the construction of characteristic towns, industrial transformation and upgrading, and poverty alleviation in such underdeveloped, resource-based cities.展开更多
The ＂sediment＂ formed in the process of long-term development of the resource-based cities not only restricts the economic structure trans/brmation, but also increases the difficulties for restructuring the state-ow...The ＂sediment＂ formed in the process of long-term development of the resource-based cities not only restricts the economic structure trans/brmation, but also increases the difficulties for restructuring the state-owned enterprises. Furthermore, it makes current ways of reforming staffs＇ identity replacement and managers＇ shareholding mode inefficient in state-owned enterprises reformation in resource-based cities. According to the characteristics of resource-based cities and property right reform theory, cash and share right compensation for the different staffs in the process of staffs＇ identity replacement have been identified. In addition, different profitable investment policies have also been suggested. For managers＇ share holding, the stimulant share ownership should be adopted principally, at the same time corresponding restrictions should be set up for managers＇ investment share ownership due to share ownership structure.展开更多
This paper develops a conceptual model and an indicator system for measuring economic resilience of resource-based cities based on the theory of evolutionary resilience and the related concepts of persistence, adaptat...This paper develops a conceptual model and an indicator system for measuring economic resilience of resource-based cities based on the theory of evolutionary resilience and the related concepts of persistence, adaptation, and transformation. Nineteen resource-based cities in Northeast China were analyzed using the indicator system. The results showed that Liaoning and Jilin provinces had higher economic resilience than Heilongjiang Province. Panjin, Benxi, and Anshan in Liaoning Province were the top three cities, while Shuangyashan and other coal-based cities in Heilongjiang Province ranked last. Metals-and petroleum-based cities had significantly higher resilience than coal-based cities. The differences in persistence, adaptability, transformation, and resilience among resource-based cities decreased since the introduction of the Northeast Revitalization Strategy in 2003. Forestry-based cities improved the most in terms of resilience, followed by metals-based and multiple-resource cities; however, resilience dropped for coal-based cities, and petroleum-based cities falling the most. The findings illustrate the importance and the way to develop a differentiated approach to improve resilience among resource-based cities.展开更多
A key target of the overall strategy implementation for regional development since the 18th Party Congress of China has involved taking measures to narrow regional disparities. This is because resource-based cities...A key target of the overall strategy implementation for regional development since the 18th Party Congress of China has involved taking measures to narrow regional disparities. This is because resource-based cities' economic development has fallen below general levels due to resource exhaustion and an unbalanced industrial structure, among other factors. Further, an economic gap has long existed between Northeast China's large number of resource-based cities and non-resource-based cities. This article comprehensively studies the economic convergence of Northeast China's resource-based cities and non-resource-based cities from 1996 to 2015 by using a dynamic panel to analyze not only the economic development of different industries and types of cities, but also the main factors that influence economic development. The empirical results demonstrate that economic convergence exists in both resource-based and non-resource-based cities, but the economic gap between them has clearly narrowed since the implementation of a strategy to revitalize the Northeast's old industrial base. Shrinking cities are the fastest to converge, as mature cities are slower and regenerating cities are the slowest; regarding industry structure, the secondary industry dominates the economy in mature and shrinking cities, and the tertiary industry in regenerating cities. The primary stimulus in resource-based cities' economic development involves upgrading the industrial structure and investing in human capital. As China faces a ‘new normal' economy, resource-based cities in Northeast China should restructure the economy and perfect their market system to avoid again widening the economic gap.展开更多
Resource-dependent cities are cities whose economic development depends on the exploitation and processing of natural resources.Their transformation and sustainable development are an important area of research on reg...Resource-dependent cities are cities whose economic development depends on the exploitation and processing of natural resources.Their transformation and sustainable development are an important area of research on regional industrial development,regional economy and urban development.Since the Chinese government launched a pilot project to transform resource-dependent cities,starting with Fuxin in Liaoning Province in 2001,accurately identifying and classifying China’s resource-dependent cities has become a focus of geographical research.Based on previous studies,this paper uses the theory and methods of urban function classification to analyze indicators and threshold values for identifying and classifying resource-dependent cities.It has thus identified 262 cities as being resource-dependent.Looking at the development levels,problems,characteristics and developmental direction of such cities,this paper attempts to establish a comprehensive analytical framework using the two evaluation indicators of resource security and sustainable development.It also creates a model to classify the 262 cities identified as resource-dependent cities into four types:growing cities,mature cities,declining cities and regenerating cities.The different connotations and characteristics of the city types were then analyzed.The results of this research support the delineation of scopes and categories of resource-dependent cities set out in the National Sustainable Development Plan for Resource-Dependent Cities published by the State Council,and they serve as a foundation for formulating policies on planning,classification and guidance.展开更多
Groundwater and surface water contamination by PTE(Potentially Toxic Elements)was assessed in Ruashi and Annexe municipalities of Lubumbashi city.Analyses of seventy water samples collected from six drilled wells,eigh...Groundwater and surface water contamination by PTE(Potentially Toxic Elements)was assessed in Ruashi and Annexe municipalities of Lubumbashi city.Analyses of seventy water samples collected from six drilled wells,eight spade-sunk wells,one river and one spring in both municipalities in 2017 and 2018 were carried out by ICP-SF-MS(Inductively Coupled Plasma-Sector Field Mass Spectrometry).Twenty PTEs including aluminum,arsenic,barium,bismuth,cadmium,cesium,chromium,cobalt,copper,iron,lead,manganese,molybdenum,nickel,strontium,thallium,tungsten,uranium,vanadium and zinc were detected at various concentrations in each one of the samples.Many samples had concentrations and mean concentrations of PTEs,such as aluminum,cadmium,copper,iron,lead,manganese,nickel and zinc,higher than the respective acceptable limits set for drinking water by the EU(European Union),the USEPA(United States Environmental Protection Agency),and the WHO(World Health Organization)standards.Most PTEs being deleterious to human health even at very low concentrations,people who use the groundwater and surface water to meet their water needs in both Ruashi and Annexe municipalities are at risk.展开更多
Promoting the coupling coordination development of port and its hinterland city environments is an important way to improve urban economic competitiveness.Based on relevant data of 13 coastal port cities in eastern Ch...Promoting the coupling coordination development of port and its hinterland city environments is an important way to improve urban economic competitiveness.Based on relevant data of 13 coastal port cities in eastern China from 2000 to 2018,this study explores the coupling coordination development of port and city environments and its impact on urban economic competitiveness by constructing the coupling coordination degree model and the panel threshold model.The research results show that:(1)In terms of the coupling coordination development of port and city environments,most coastal ports and their hinterland cities are in a state of moderate or serious disorder.Overall,the degree of coupling coordination of port and city environments needs to be further improved;(2)The coupling coordination degree of port and city environments has a significant impact on urban economic competitiveness,and this effect gradually increases with the development of the ports and the urban economy.Among the variables that impact the urban economic competitiveness,fixed assets investment and foreign trade are significant factors that can enhance urban economic competitiveness.(3)At present,there is a“U-shaped”relationship between the coupling coordination degree of port-city environments and the urban economic competitiveness.This relationship lies on the right side of the inflection point of the“U-shaped”curve.Therefore,following the concept of assigning priority to ecological development,expanding fixed assets investment and actively developing foreign trade can further enhance the urban economic competitiveness.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
Digital technology provides a method of quantitative investigation and data analysis for contemporary landscape spatial analysis,and related research is moving from image recognition to digital algorithmic analysis,pr...Digital technology provides a method of quantitative investigation and data analysis for contemporary landscape spatial analysis,and related research is moving from image recognition to digital algorithmic analysis,providing a more scientific and macroscopic way of research.The key to refinement design is to refine the spatial design process and the spatial improvement strategy system.Taking the ancient city of Zhaoyu in Qixian County,Shanxi Province as an example,(1)based on obtaining the integrated data of the ancient city through the drone tilt photography,the style and landscape of the ancient city are modeled;(2)the point cloud data with spatial information is imported into the point cloud analysis platform and the data analysis is carried out from the overall macroscopic style of the ancient city to the refinement level,which results in the formation of a more intuitive landscape design scheme,thus improving the precision and practicability of the landscape design;(3)Based on spatial big data,it starts from the spatial aggregation level,spatial distribution characteristics and other evaluation index system to achieve the refinement analysis of the site.Digital technology and methods are used throughout the process to explore the refined design path.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
文摘The resource-based city can divides according to the Israeli resource type and development phase two big standards. The resource-based city economic transformation strategy first should from the macroscopic level, seek for the regional economic development the new superiority, next should act according to the new regional development favorable condition that establishes the pattern of industrial transformation from the microscopic level.
基金Supported by Key Research Project of Huaibei City (20110215)Anhui Provincial Natural Science Project (KJ2010B191,KJ2011Z325)
文摘Ecological planning plays an important role in the construction of cities. Huaibei is a typical coal resource-based city, the abundant coal resources lay a solid foundation for its economic development. Coal mining has induced a series of social problems, and affected the regional social and economic development. Ecological planning of Huaibei City concentrates on ecological restoration of coal mining subsidence, and applies circular economy to develop eco-agriculture, eco-tourism and eco-industry, which will contribute considerably to the economic transformation of the city. Analytic Hierarchy Process and mathematical statistical model were applied to calculate sustainable development indexes of Huaibei from 2002 to 2010. By evaluating the indexes, it was found that Huaibei City has a low sustainable development level, and 3 imbalanced subsystems as the major obstacle. The authors proposed countermeasures according to specific conditions of the city.
基金supported by the Chongqing Social Science Planning Fund,China(2023BS034)the Science and Technology Project of Chongqing Jiaotong University,China(F1230069).
文摘Green transformation is an unavoidable choice for resource-based cities(RBCs)that face resource depletion and environmental pollution.Existing research has focused primarily on specific RBCs,making it challenging to apply green transformation strategies universally across cities.The fuzzy set qualitative comparative analysis(fsQCA)is a combination of qualitative and quantitative analyses that can handle multiple concurrent causality problems and determine how different conditions combine into configurations and generate an outcome.Thus,to address this gap,in this study,we established a research framework for green transformation and utilized the fsQCA to examine the configurations of 113 RBCs in China.By incorporating the element of time,this study explored the dynamic evolution of solutions in 2013,2016,and 2019.The main findings indicate that individual elements do not constitute the necessary conditions for improving the green transformation efficiency(GTE),and the systematic combination of multiple conditions is an effective path for realizing the improvement of the GTE in RBCs.Green transformation paths of RBCs exhibit the same destination through different paths.Additionally,the combination of system environment elements and system structure elements is both complementary and alternative.Differences in RBCs have led to various factor combinations and development paths,but there are some similarities in the key elements of the factor combinations at different stages.Economic environment,government support,and technological innovation are key factors that universally enhance the GTE in RBCs.These insights can assist city managers in formulating policies to drive green transformation and contribute to a better theoretical understanding of green transformation paths in RBCs.
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National Natural Science Foundation of China,No.72050001。
文摘Firm entry plays an important role in the industrial transformation of mature resource-based cities.This study describes the industrial evolution of resource-based cities at the firm level and uses kernel density estimation and econometric models to study the spatiotemporal characteristics and determinants of new firm entry from 2011 to 2019 in four mature resource-based cities.The results are summarized as follows:(1)New resource-based firm entry tends to be natural resource-oriented and path-dependent.The new non-resource-based firms show a high concentration in central urban areas,and the industry types are mainly wholesale and retail of resource products,cultural tourism,and equipment manufacturing.(2)Heterogeneous incumbent firms affect firm entry differently.Affected by competition and agglomeration effects,resource-based and non-resource-based incumbent firms have negative and positive impacts on new resource-based firm entry,respectively.Resourcebased incumbent firm agglomeration positively influences new non-resource-based firm entry.(3)Besides incumbent firms,firm entry can also be affected by multidimensional factors,such as factor costs,economic environment,and institutional environment.Research on new firm entry can better reveal the path dependence and path creation process of the industrial development of resource-based cities from a micro-perspective.
文摘Characteristic towns as a characteristic industry are one of the important measures of China's new urbanization strategy. The construction of characteristic towns in different regions needs to pay attention to regional differentiation. At present, the research on characteristic towns focuses on the developed the developed central and eastern regions. There are still few studies on characteristics towns in underdeveloped areas. Starting from the analysis of the concept of the characteristic town, this paper sorted out the general situation of the construction of characteristic towns in China based on the existing research literature, selected Ganzhou City for research, pointed out there were "two restrictions and two singles" in the construction of characteristic towns in Ganzhou City, and clarified that the characteristic towns of Ganzhou City should adhere to the construction path of "two characteristics and two integrations", with a view to providing a useful reference for in Ganzhou City the construction of characteristic towns, industrial transformation and upgrading, and poverty alleviation in such underdeveloped, resource-based cities.
文摘The ＂sediment＂ formed in the process of long-term development of the resource-based cities not only restricts the economic structure trans/brmation, but also increases the difficulties for restructuring the state-owned enterprises. Furthermore, it makes current ways of reforming staffs＇ identity replacement and managers＇ shareholding mode inefficient in state-owned enterprises reformation in resource-based cities. According to the characteristics of resource-based cities and property right reform theory, cash and share right compensation for the different staffs in the process of staffs＇ identity replacement have been identified. In addition, different profitable investment policies have also been suggested. For managers＇ share holding, the stimulant share ownership should be adopted principally, at the same time corresponding restrictions should be set up for managers＇ investment share ownership due to share ownership structure.
基金Under the auspices of National Natural Science Foundation of China(No.41571152,41201160,41601124,41201159,71541021)the Knowledge Innovation Program of the Chinese Academy of Sciences(No.KSZD-EW-Z-021)the Key Consulting Program of the Chinese Academy of Sciences(No.Y02015005)
文摘This paper develops a conceptual model and an indicator system for measuring economic resilience of resource-based cities based on the theory of evolutionary resilience and the related concepts of persistence, adaptation, and transformation. Nineteen resource-based cities in Northeast China were analyzed using the indicator system. The results showed that Liaoning and Jilin provinces had higher economic resilience than Heilongjiang Province. Panjin, Benxi, and Anshan in Liaoning Province were the top three cities, while Shuangyashan and other coal-based cities in Heilongjiang Province ranked last. Metals-and petroleum-based cities had significantly higher resilience than coal-based cities. The differences in persistence, adaptability, transformation, and resilience among resource-based cities decreased since the introduction of the Northeast Revitalization Strategy in 2003. Forestry-based cities improved the most in terms of resilience, followed by metals-based and multiple-resource cities; however, resilience dropped for coal-based cities, and petroleum-based cities falling the most. The findings illustrate the importance and the way to develop a differentiated approach to improve resilience among resource-based cities.
基金Under the auspices of National Natural Science Foundation of China(No.41471111)China’s Postdoctoral Science Foundation(No.2017M621191)Fundamental Research Funds for the Central Universities(No.2412017QD020)
文摘A key target of the overall strategy implementation for regional development since the 18th Party Congress of China has involved taking measures to narrow regional disparities. This is because resource-based cities' economic development has fallen below general levels due to resource exhaustion and an unbalanced industrial structure, among other factors. Further, an economic gap has long existed between Northeast China's large number of resource-based cities and non-resource-based cities. This article comprehensively studies the economic convergence of Northeast China's resource-based cities and non-resource-based cities from 1996 to 2015 by using a dynamic panel to analyze not only the economic development of different industries and types of cities, but also the main factors that influence economic development. The empirical results demonstrate that economic convergence exists in both resource-based and non-resource-based cities, but the economic gap between them has clearly narrowed since the implementation of a strategy to revitalize the Northeast's old industrial base. Shrinking cities are the fastest to converge, as mature cities are slower and regenerating cities are the slowest; regarding industry structure, the secondary industry dominates the economy in mature and shrinking cities, and the tertiary industry in regenerating cities. The primary stimulus in resource-based cities' economic development involves upgrading the industrial structure and investing in human capital. As China faces a ‘new normal' economy, resource-based cities in Northeast China should restructure the economy and perfect their market system to avoid again widening the economic gap.
基金National Natural Science Foundation of China,No.41671166,No.41701128
文摘Resource-dependent cities are cities whose economic development depends on the exploitation and processing of natural resources.Their transformation and sustainable development are an important area of research on regional industrial development,regional economy and urban development.Since the Chinese government launched a pilot project to transform resource-dependent cities,starting with Fuxin in Liaoning Province in 2001,accurately identifying and classifying China’s resource-dependent cities has become a focus of geographical research.Based on previous studies,this paper uses the theory and methods of urban function classification to analyze indicators and threshold values for identifying and classifying resource-dependent cities.It has thus identified 262 cities as being resource-dependent.Looking at the development levels,problems,characteristics and developmental direction of such cities,this paper attempts to establish a comprehensive analytical framework using the two evaluation indicators of resource security and sustainable development.It also creates a model to classify the 262 cities identified as resource-dependent cities into four types:growing cities,mature cities,declining cities and regenerating cities.The different connotations and characteristics of the city types were then analyzed.The results of this research support the delineation of scopes and categories of resource-dependent cities set out in the National Sustainable Development Plan for Resource-Dependent Cities published by the State Council,and they serve as a foundation for formulating policies on planning,classification and guidance.
基金funding received from UNESCO-SIDA Project as well as Professor Martine Leermakers and Professor Willy Baeyens for their financial help to analyze the water samples in their laboratory at VUB.Acknowledgements
文摘Groundwater and surface water contamination by PTE(Potentially Toxic Elements)was assessed in Ruashi and Annexe municipalities of Lubumbashi city.Analyses of seventy water samples collected from six drilled wells,eight spade-sunk wells,one river and one spring in both municipalities in 2017 and 2018 were carried out by ICP-SF-MS(Inductively Coupled Plasma-Sector Field Mass Spectrometry).Twenty PTEs including aluminum,arsenic,barium,bismuth,cadmium,cesium,chromium,cobalt,copper,iron,lead,manganese,molybdenum,nickel,strontium,thallium,tungsten,uranium,vanadium and zinc were detected at various concentrations in each one of the samples.Many samples had concentrations and mean concentrations of PTEs,such as aluminum,cadmium,copper,iron,lead,manganese,nickel and zinc,higher than the respective acceptable limits set for drinking water by the EU(European Union),the USEPA(United States Environmental Protection Agency),and the WHO(World Health Organization)standards.Most PTEs being deleterious to human health even at very low concentrations,people who use the groundwater and surface water to meet their water needs in both Ruashi and Annexe municipalities are at risk.
基金This research is supported by Hunan Provincial Natural Science Foundation of China(Grant No.2021JJ30304)the General Topics of Hunan Social Science Achievement Evaluation Committee of China(Grant No.XSP22YBC366)the Key Scientific Research Project of Hunan Provincial Department of Education of China(Grant No.21B0592).
文摘Promoting the coupling coordination development of port and its hinterland city environments is an important way to improve urban economic competitiveness.Based on relevant data of 13 coastal port cities in eastern China from 2000 to 2018,this study explores the coupling coordination development of port and city environments and its impact on urban economic competitiveness by constructing the coupling coordination degree model and the panel threshold model.The research results show that:(1)In terms of the coupling coordination development of port and city environments,most coastal ports and their hinterland cities are in a state of moderate or serious disorder.Overall,the degree of coupling coordination of port and city environments needs to be further improved;(2)The coupling coordination degree of port and city environments has a significant impact on urban economic competitiveness,and this effect gradually increases with the development of the ports and the urban economy.Among the variables that impact the urban economic competitiveness,fixed assets investment and foreign trade are significant factors that can enhance urban economic competitiveness.(3)At present,there is a“U-shaped”relationship between the coupling coordination degree of port-city environments and the urban economic competitiveness.This relationship lies on the right side of the inflection point of the“U-shaped”curve.Therefore,following the concept of assigning priority to ecological development,expanding fixed assets investment and actively developing foreign trade can further enhance the urban economic competitiveness.
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Digital technology provides a method of quantitative investigation and data analysis for contemporary landscape spatial analysis,and related research is moving from image recognition to digital algorithmic analysis,providing a more scientific and macroscopic way of research.The key to refinement design is to refine the spatial design process and the spatial improvement strategy system.Taking the ancient city of Zhaoyu in Qixian County,Shanxi Province as an example,(1)based on obtaining the integrated data of the ancient city through the drone tilt photography,the style and landscape of the ancient city are modeled;(2)the point cloud data with spatial information is imported into the point cloud analysis platform and the data analysis is carried out from the overall macroscopic style of the ancient city to the refinement level,which results in the formation of a more intuitive landscape design scheme,thus improving the precision and practicability of the landscape design;(3)Based on spatial big data,it starts from the spatial aggregation level,spatial distribution characteristics and other evaluation index system to achieve the refinement analysis of the site.Digital technology and methods are used throughout the process to explore the refined design path.
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.
