Research on the spatial mismatch experienced by low-income minority residents is US-centric.However,spatial mismatch is not necessarily an appropriate term when considering the situation of low-wage workers in cities ...Research on the spatial mismatch experienced by low-income minority residents is US-centric.However,spatial mismatch is not necessarily an appropriate term when considering the situation of low-wage workers in cities of northwestern China where there is higher proximity between jobs and housing and lower levels of residential segregation.This paper empirically examines the jobs-housing spatial relationship for one of the most typical low-wage groups,namely,public janitors,in Xi’an,China.Also,the causes of the jobs-housing spatial relationship are discussed in detail.Individual-level data based on in-depth interviews and questionnaires,as well as the GIS network analysis method,are used to provide baseline analyses of the jobs-housing spatial relationship.Results indicate that there is no jobs-housing spatial mismatch for public janitors in Xi’an.This can be implied from the short commuting distance and time.A basic cause is that most public janitors rent low-cost accommodation in villages-in-the-city,and in old residential quarters,near to their places of work.Other causes lie in off-peak commuting and high sensitivity to commuting distance due to the greater extent of nonmotorized commuting modes.The conclusions,based on a large number of social surveys,are an illuminating analysis of the spatial mismatch issue among low-wage workers in Chinese cities.展开更多
The coordinated development of tourism resources and tourism economy is vital improve the quality and efficiency of regional tourism.Taking the ice and snow tourism in Altay region as an example,this study constructed...The coordinated development of tourism resources and tourism economy is vital improve the quality and efficiency of regional tourism.Taking the ice and snow tourism in Altay region as an example,this study constructed an evaluation indicator system and used the methods of gravity center model,spatial mismatch index model and obstacle degree model to calculate the spatial mismatch index and influencing factors of ice and snow tourism resources and tourism economy in Altay region as a whole and in each county and city.It found in the study period:(i)the ice and snow tourism resources and tourism economy in Altay region was synchronous in the development of time sequence,while the spatial distribution pattern was characterized by regional imbalance;(ii)at the macro scale,the spatial mismatch degree of the ice-snow tourism resource center and the tourism economic center in Altay region was gradually reduced,but they were always separated from the spatial geometric center of Altay region;(iii)at the micro scale,the spatial mismatch index of counties and cities in Altay region was mainly negative mismatch,and the types of spatial mismatch changed in different degrees;(iv)the factors showed certain spatial differentiation characteristics in different counties of Altay region,and there were some differences in the obstacles of different mismatch level areas,and the economic basis was the most frequent obstacle in different mismatch level areas of Altay region.展开更多
Ice-snow tourism is emerging as a vital sector for economic growth.As the climate crisis affects traditional ice-snow tourism destinations,southern China has built a significant ice-snow tourism sector.This expansion ...Ice-snow tourism is emerging as a vital sector for economic growth.As the climate crisis affects traditional ice-snow tourism destinations,southern China has built a significant ice-snow tourism sector.This expansion is fueled by significant tourist demand,a robust economy,and a high population density,which together lead to different development opportunities for ice-snow tourism in mid-and low-latitude areas.This study examines cities in southern provinces and assesses the resource endowment of ice-snow tourism resources from 2018 to 2023 in five categories:ice-snow events,ice-snow festivals,ice-snow venues,ice-snow parks,and ice-snow attractions.By utilizing Baidu Index data,the research looks at the gap between resource endowment and internet attention in winter tourism using a spatial mismatch model.The findings indicate that:(1)Ice-snow tourism endowment in South China is currently limited but experiencing rapid growth.(2)Internet attention in winter tourism within these cities varies,following an“up-down-up”trend.(3)There is a mismatch between resource endowment and internet attention.Over time,the development paths of ice-snow tourism in southern cities can be classified into three types:priority development,active development,and inertial development,influenced by factors such as policy changes,urban economic conditions,overall tourism development,and natural geography.展开更多
The spatial mismatch situation of tourism development in Guangdong Province is analyzed by gravity model and two-dimensional matrix based on the spatial mismatch hypothesis,and the results are visualized using Arc GIS...The spatial mismatch situation of tourism development in Guangdong Province is analyzed by gravity model and two-dimensional matrix based on the spatial mismatch hypothesis,and the results are visualized using Arc GIS software.This study finds that varying degrees of spatial mismatch exist between the level of tourism development,abundance of tourism resources and accessibility of tourism locations in the 21 cities in Guangdong Province.The gravity centers for tourism economy,tourism resources and tourism location are（113.55°E,23.00°N）,（113.69°E,23.21°N）and（113.74°E,22.86°N）,respectively.According to the two-dimensional combinatorial matrices,synchronous development is shown in 10 prefecture-level cities for the tourism revenue-resource abundance combination,whereas it is shown in seven prefecture-level cities for the tourism revenue-tourism location combination.Guangzhou and Shenzhen are synchronous-double high zones for both combinations,while Foshan,Qingyuan,Yangjiang,Zhongshan and Jieyang are deviating-negative mismatch zones for both combinations.Furthermore,the vast majority of prefecture-level cities within the province currently present mismatching trends in tourism development.Based on the analysis results,corresponding countermeasures and suggestions are put forward taking into account the actual situation and opportunities for further tourism development in various prefecture-level cities.展开更多
The rapid urbanization and structural imbalances in Chinese megacities have exacerbated the housing supplydemand mismatch,creating an urgent need for fine-scale diagnostic tools.This study addresses this critical gap ...The rapid urbanization and structural imbalances in Chinese megacities have exacerbated the housing supplydemand mismatch,creating an urgent need for fine-scale diagnostic tools.This study addresses this critical gap by developing the Housing Contradiction Evaluation Weighted Index(HCEWI)model,making three key contributions to high-resolution housing monitoring.First,we establish a tripartite theoretical framework integrating dynamic population pressure(PPI),housing supply potential(HSI),and functional diversity(HHI).The PPI innovatively combines mobile signaling data with principal component analysis to capture real-time commuting patterns,while the HSI introduces a novel dual-criteria system based on Local Climate Zones(LCZ),weighted by building density and residential function ratio.Second,we develop a spatiotemporal coupling architecture featuring an entropy-weighted dynamic integration mechanism with self-correcting modules,demonstrating robust performance against data noise.Third,our 25-month longitudinal analysis in Shenzhen reveals significant findings,including persistent bipolar clustering patterns,contrasting volatility between peripheral and core areas,and seasonal policy responsiveness.Methodologically,we advance urban diagnostics through 500-meter grid monthly monitoring and process-oriented temporal operators that reveal“tentacle-like”spatial restructuring along transit corridors.Our findings provide a replicable framework for precision housing governance and demonstrate the transformative potential of mobile signaling data in implementing China’s“city-specific policy”approach.We further propose targeted intervention strategies,including balance regulation for high-contradiction zones,Transit-Oriented Development(TOD)activation for low-contradiction clusters,and dynamic land conversion mechanisms for transitional areas.展开更多
With the urban expansion and economic restructuring, the jobs-housing relationship has become an important issue in studies on urban spatial structure. This paper employed a job accessibility model, which is an evalua...With the urban expansion and economic restructuring, the jobs-housing relationship has become an important issue in studies on urban spatial structure. This paper employed a job accessibility model, which is an evaluation instrument to measure the jobs-housing relationship in Beijing Metropolitan Area from a job accessibility perspective. The results indicate that the population in the central city is declining, whereas the population in the suburbs is consistently growing and forming new population centers. However, the distribution pattern of employment is still highly centralized. Job accessibility varies in different locations, but the inner-city areas(within the Third Ring road) have seen improved job accessibility over time while job accessibility in the suburbs(especially outside the Fourth Ring road) has decreased, and this has led it to become a primary area of residential and employment mismatch. At the same time, the new towns in the outer suburbs have not yet demonstrated great potential to attract more jobs. In addition we find that, to some extent, urban planning changes the jobs-housing relationship, but a polycentric urban spatial structure is not yet evident. The floating population and related housing policy also affect the jobs-housing relationship. We propose some measures to resolve the spatial mismatch as well as some future research directions.展开更多
Identification of the spatial mismatch between land use functions(LUFs)and land use efficiencies(LUEs)is essential to regional land use policies.However,previous studies about LUF-LUE mismatch and its driving factors ...Identification of the spatial mismatch between land use functions(LUFs)and land use efficiencies(LUEs)is essential to regional land use policies.However,previous studies about LUF-LUE mismatch and its driving factors have been insufficient.In this study,we explored the spatiotemporal mismatch of LUFs and LUEs and their influencing factors from 2000 to 2018 in the Middle Reaches of the Yangtze River(MRYR).Specifically,we used Spearman correlation analysis to reveal the trade-off relationship between LUFs and LUEs and determine the direction of the influencing factors on the LUF-LUE mismatch,adopted spatial mismatch analysis to measure the imbalance between LUFs and LUEs,and used the geographical detector model to analyze the factors influencing this spatial mismatch.The results showed that production function(PDF),living function(LVF),ecological function(ELF),agricultural production efficiency(APE),urban construction efficiency(UCE),and ecological services efficiency(ESE)all displayed significant spatial heterogeneity.The high trade-off areas were widely distributed and long-lasting in agricultural space and urban space,while gradually decreasing in ecological space.Wuhan and Changsha showed high spatial mismatch coefficients in urban space,but low spatial mismatch coefficients in agricultural space.Hunan generally presented high spatial mismatch coefficients in ecological space.Furthermore,the interaction of the proportion of cultivated area and transportation accessibility exacerbated the mismatch in agricultural space.The interaction effects of capital investment and technology innovation with other factors have the most intense impact on the mismatch in urban space.The internal factor for cultivated area interacts with other external factors to drastically affect ecological spatial mismatch.展开更多
The analysis of spatial mismatches in access to employment remains a very important area of labour market literature. A particular case is that of the mismatches in urban labor markets, which can result in substantial...The analysis of spatial mismatches in access to employment remains a very important area of labour market literature. A particular case is that of the mismatches in urban labor markets, which can result in substantial differences in the employment opportunities available in city centre and suburbs. This study examines the spatial mismatches present in the labour market of Santa Cruz de Tenerife. To that end, the results of a survey taken in 2003-2004 with a sample of 2000 city residents were reviewed. Results confirm the importance of transport policy for city residents; they suggest that public transport linking the different districts to the city centre should be reviewed.展开更多
With the rapid development of urbanization construction in China,population and industries are rapidly gathering in cities,bringing about economic development and also causing a large number of environmental problems,...With the rapid development of urbanization construction in China,population and industries are rapidly gathering in cities,bringing about economic development and also causing a large number of environmental problems,among which PM_(2.5) is the most concerned.In this paper,a spatial gravity center model was used to systematically analyze the spatiotemporal distribution characteristics of PM_(2.5) and population scale in China from 1999 to 2016.Conclusions were as below:(1)there were significant regional differences in PM_(2.5) pollution from 1999 to 2016,characterized by a spatial distribution of"high in the north and low in the south,and high in the inland and low in the coastal areas".(2)Nationwide,there was a significant spatial mismatch between the gravity center of PM_(2.5) pollution and the gravity center of population scale,with the two centers showing a trend of reverse dislocation development.展开更多
基金Under the auspices of the National Natural Science Foundation of China(No.41601158,41871162)。
文摘Research on the spatial mismatch experienced by low-income minority residents is US-centric.However,spatial mismatch is not necessarily an appropriate term when considering the situation of low-wage workers in cities of northwestern China where there is higher proximity between jobs and housing and lower levels of residential segregation.This paper empirically examines the jobs-housing spatial relationship for one of the most typical low-wage groups,namely,public janitors,in Xi’an,China.Also,the causes of the jobs-housing spatial relationship are discussed in detail.Individual-level data based on in-depth interviews and questionnaires,as well as the GIS network analysis method,are used to provide baseline analyses of the jobs-housing spatial relationship.Results indicate that there is no jobs-housing spatial mismatch for public janitors in Xi’an.This can be implied from the short commuting distance and time.A basic cause is that most public janitors rent low-cost accommodation in villages-in-the-city,and in old residential quarters,near to their places of work.Other causes lie in off-peak commuting and high sensitivity to commuting distance due to the greater extent of nonmotorized commuting modes.The conclusions,based on a large number of social surveys,are an illuminating analysis of the spatial mismatch issue among low-wage workers in Chinese cities.
文摘The coordinated development of tourism resources and tourism economy is vital improve the quality and efficiency of regional tourism.Taking the ice and snow tourism in Altay region as an example,this study constructed an evaluation indicator system and used the methods of gravity center model,spatial mismatch index model and obstacle degree model to calculate the spatial mismatch index and influencing factors of ice and snow tourism resources and tourism economy in Altay region as a whole and in each county and city.It found in the study period:(i)the ice and snow tourism resources and tourism economy in Altay region was synchronous in the development of time sequence,while the spatial distribution pattern was characterized by regional imbalance;(ii)at the macro scale,the spatial mismatch degree of the ice-snow tourism resource center and the tourism economic center in Altay region was gradually reduced,but they were always separated from the spatial geometric center of Altay region;(iii)at the micro scale,the spatial mismatch index of counties and cities in Altay region was mainly negative mismatch,and the types of spatial mismatch changed in different degrees;(iv)the factors showed certain spatial differentiation characteristics in different counties of Altay region,and there were some differences in the obstacles of different mismatch level areas,and the economic basis was the most frequent obstacle in different mismatch level areas of Altay region.
基金The Jiangxi Provincial Social Science Planning Project“Research on the Optimization of Development Paths for Ice and Snow Tourism in Jiangxi Province in the Digital Economy Era”(No.23GL25)。
文摘Ice-snow tourism is emerging as a vital sector for economic growth.As the climate crisis affects traditional ice-snow tourism destinations,southern China has built a significant ice-snow tourism sector.This expansion is fueled by significant tourist demand,a robust economy,and a high population density,which together lead to different development opportunities for ice-snow tourism in mid-and low-latitude areas.This study examines cities in southern provinces and assesses the resource endowment of ice-snow tourism resources from 2018 to 2023 in five categories:ice-snow events,ice-snow festivals,ice-snow venues,ice-snow parks,and ice-snow attractions.By utilizing Baidu Index data,the research looks at the gap between resource endowment and internet attention in winter tourism using a spatial mismatch model.The findings indicate that:(1)Ice-snow tourism endowment in South China is currently limited but experiencing rapid growth.(2)Internet attention in winter tourism within these cities varies,following an“up-down-up”trend.(3)There is a mismatch between resource endowment and internet attention.Over time,the development paths of ice-snow tourism in southern cities can be classified into three types:priority development,active development,and inertial development,influenced by factors such as policy changes,urban economic conditions,overall tourism development,and natural geography.
基金The Major Program of National Social Science Foundation of China(17ZDA165)
文摘The spatial mismatch situation of tourism development in Guangdong Province is analyzed by gravity model and two-dimensional matrix based on the spatial mismatch hypothesis,and the results are visualized using Arc GIS software.This study finds that varying degrees of spatial mismatch exist between the level of tourism development,abundance of tourism resources and accessibility of tourism locations in the 21 cities in Guangdong Province.The gravity centers for tourism economy,tourism resources and tourism location are（113.55°E,23.00°N）,（113.69°E,23.21°N）and（113.74°E,22.86°N）,respectively.According to the two-dimensional combinatorial matrices,synchronous development is shown in 10 prefecture-level cities for the tourism revenue-resource abundance combination,whereas it is shown in seven prefecture-level cities for the tourism revenue-tourism location combination.Guangzhou and Shenzhen are synchronous-double high zones for both combinations,while Foshan,Qingyuan,Yangjiang,Zhongshan and Jieyang are deviating-negative mismatch zones for both combinations.Furthermore,the vast majority of prefecture-level cities within the province currently present mismatching trends in tourism development.Based on the analysis results,corresponding countermeasures and suggestions are put forward taking into account the actual situation and opportunities for further tourism development in various prefecture-level cities.
基金National Natural Science Foundation of China(No.42101346)Undergraduate Training Programs for Innovation and Entrepreneurship of Wuhan University(GeoAI Special Project)(No.202510486196).
文摘The rapid urbanization and structural imbalances in Chinese megacities have exacerbated the housing supplydemand mismatch,creating an urgent need for fine-scale diagnostic tools.This study addresses this critical gap by developing the Housing Contradiction Evaluation Weighted Index(HCEWI)model,making three key contributions to high-resolution housing monitoring.First,we establish a tripartite theoretical framework integrating dynamic population pressure(PPI),housing supply potential(HSI),and functional diversity(HHI).The PPI innovatively combines mobile signaling data with principal component analysis to capture real-time commuting patterns,while the HSI introduces a novel dual-criteria system based on Local Climate Zones(LCZ),weighted by building density and residential function ratio.Second,we develop a spatiotemporal coupling architecture featuring an entropy-weighted dynamic integration mechanism with self-correcting modules,demonstrating robust performance against data noise.Third,our 25-month longitudinal analysis in Shenzhen reveals significant findings,including persistent bipolar clustering patterns,contrasting volatility between peripheral and core areas,and seasonal policy responsiveness.Methodologically,we advance urban diagnostics through 500-meter grid monthly monitoring and process-oriented temporal operators that reveal“tentacle-like”spatial restructuring along transit corridors.Our findings provide a replicable framework for precision housing governance and demonstrate the transformative potential of mobile signaling data in implementing China’s“city-specific policy”approach.We further propose targeted intervention strategies,including balance regulation for high-contradiction zones,Transit-Oriented Development(TOD)activation for low-contradiction clusters,and dynamic land conversion mechanisms for transitional areas.
基金Under the auspices of National Natural Science Foundation of China(No.41271132)
文摘With the urban expansion and economic restructuring, the jobs-housing relationship has become an important issue in studies on urban spatial structure. This paper employed a job accessibility model, which is an evaluation instrument to measure the jobs-housing relationship in Beijing Metropolitan Area from a job accessibility perspective. The results indicate that the population in the central city is declining, whereas the population in the suburbs is consistently growing and forming new population centers. However, the distribution pattern of employment is still highly centralized. Job accessibility varies in different locations, but the inner-city areas(within the Third Ring road) have seen improved job accessibility over time while job accessibility in the suburbs(especially outside the Fourth Ring road) has decreased, and this has led it to become a primary area of residential and employment mismatch. At the same time, the new towns in the outer suburbs have not yet demonstrated great potential to attract more jobs. In addition we find that, to some extent, urban planning changes the jobs-housing relationship, but a polycentric urban spatial structure is not yet evident. The floating population and related housing policy also affect the jobs-housing relationship. We propose some measures to resolve the spatial mismatch as well as some future research directions.
基金Key Project of the National Social Science Foundation of China,No.23AZD058National Natural Science Foundation of China,No.72004209。
文摘Identification of the spatial mismatch between land use functions(LUFs)and land use efficiencies(LUEs)is essential to regional land use policies.However,previous studies about LUF-LUE mismatch and its driving factors have been insufficient.In this study,we explored the spatiotemporal mismatch of LUFs and LUEs and their influencing factors from 2000 to 2018 in the Middle Reaches of the Yangtze River(MRYR).Specifically,we used Spearman correlation analysis to reveal the trade-off relationship between LUFs and LUEs and determine the direction of the influencing factors on the LUF-LUE mismatch,adopted spatial mismatch analysis to measure the imbalance between LUFs and LUEs,and used the geographical detector model to analyze the factors influencing this spatial mismatch.The results showed that production function(PDF),living function(LVF),ecological function(ELF),agricultural production efficiency(APE),urban construction efficiency(UCE),and ecological services efficiency(ESE)all displayed significant spatial heterogeneity.The high trade-off areas were widely distributed and long-lasting in agricultural space and urban space,while gradually decreasing in ecological space.Wuhan and Changsha showed high spatial mismatch coefficients in urban space,but low spatial mismatch coefficients in agricultural space.Hunan generally presented high spatial mismatch coefficients in ecological space.Furthermore,the interaction of the proportion of cultivated area and transportation accessibility exacerbated the mismatch in agricultural space.The interaction effects of capital investment and technology innovation with other factors have the most intense impact on the mismatch in urban space.The internal factor for cultivated area interacts with other external factors to drastically affect ecological spatial mismatch.
文摘The analysis of spatial mismatches in access to employment remains a very important area of labour market literature. A particular case is that of the mismatches in urban labor markets, which can result in substantial differences in the employment opportunities available in city centre and suburbs. This study examines the spatial mismatches present in the labour market of Santa Cruz de Tenerife. To that end, the results of a survey taken in 2003-2004 with a sample of 2000 city residents were reviewed. Results confirm the importance of transport policy for city residents; they suggest that public transport linking the different districts to the city centre should be reviewed.
文摘With the rapid development of urbanization construction in China,population and industries are rapidly gathering in cities,bringing about economic development and also causing a large number of environmental problems,among which PM_(2.5) is the most concerned.In this paper,a spatial gravity center model was used to systematically analyze the spatiotemporal distribution characteristics of PM_(2.5) and population scale in China from 1999 to 2016.Conclusions were as below:(1)there were significant regional differences in PM_(2.5) pollution from 1999 to 2016,characterized by a spatial distribution of"high in the north and low in the south,and high in the inland and low in the coastal areas".(2)Nationwide,there was a significant spatial mismatch between the gravity center of PM_(2.5) pollution and the gravity center of population scale,with the two centers showing a trend of reverse dislocation development.
