This study applies multi-source datasets(i.e.,Baidu Heat Map data,points of interest(POIs)data,and floor area and land use data)and geographically and temporally weighted regression(GTWR)models to elaborate the spatio...This study applies multi-source datasets(i.e.,Baidu Heat Map data,points of interest(POIs)data,and floor area and land use data)and geographically and temporally weighted regression(GTWR)models to elaborate the spatiotemporal relationships between the built environment and urban vibrancy on both weekdays and weekends,using Guangzhou City as a case.First,we verified the spatially and temporally nonstationary nature of the built environment correlates,which have been largely ignored in previous studies based on local regression techniques.The spatially and temporally heterogeneous effects of the built environment on urban vibrancy are then presented and visualized,based on the GTWR results.We found that the elasticity of location(i.e.,distance),land use mix(i.e.,diversity),building intensity and numbers of POIs with various functions(i.e.,density)are different across time(2-h intervals within a day)and space(grids),due to people’s everyday lifestyle,time-space constraints,and geographical context(e.g.,spatial structure).The findings highlight the importance of a better understanding of the local geography on the spatiotemporal relationships for urban planners and local governments so as to put forward decision-making support for fostering and maintaining urban vibrancy.展开更多
Green space is the main public space in the city and plays an important role in urban environmental health and residents’physical and mental health.The outbreak of COVID-19 has put forward new requirements for urban ...Green space is the main public space in the city and plays an important role in urban environmental health and residents’physical and mental health.The outbreak of COVID-19 has put forward new requirements for urban green space construction in many aspects.Based on the population vitality data of comprehensive parks in the central urban area of Beijing,this paper evaluated urban comprehensive parks in the context of COVID-19 epidemic to reveal the changing process of their use and visit characteristics,and proposed suggestions and strategies to deal with the epidemic in comprehensive parks in the central urban area of Beijing.展开更多
Urban tourism space is the primary area where tourism activities occur and a key driver of regional tourism space evolution.To explore the correlation between population aggregation and urban tourism spatial heterogen...Urban tourism space is the primary area where tourism activities occur and a key driver of regional tourism space evolution.To explore the correlation between population aggregation and urban tourism spatial heterogeneity in the big data era,this study focuses on Wuhan’s main urban area in 2023.Using the Geographically Weighted Regression model,it analyzes the factors influencing tourism spatial heterogeneity.Additionally,Baidu Heat map data is employed to identify crowd aggregation levels during holidays,revealing the distribution patterns of urban tourism space.The results indicate that(1)factors derived from the GWR model significantly influence the number of tourism spaces in Wuhan,with evident spatial differences;(2)based on the spatial matching of heterogeneity factors and crowd aggregation levels,urban tourism space can be categorized into six types,including five core tourism spaces and other scattered spaces.This research highlights the spatial heterogeneity of urban tourism in Wuhan and provides a scientific basis for the transformation and quality improvement of urban tourism space by exploring the impact of population activity density.展开更多
基金Under the auspices of National Natural Science Foundation of China(No.41901191,41930646)Southern Marine Science and Engineering Guangdong Laboratory(Zhuhai)(No.311020017)。
文摘This study applies multi-source datasets(i.e.,Baidu Heat Map data,points of interest(POIs)data,and floor area and land use data)and geographically and temporally weighted regression(GTWR)models to elaborate the spatiotemporal relationships between the built environment and urban vibrancy on both weekdays and weekends,using Guangzhou City as a case.First,we verified the spatially and temporally nonstationary nature of the built environment correlates,which have been largely ignored in previous studies based on local regression techniques.The spatially and temporally heterogeneous effects of the built environment on urban vibrancy are then presented and visualized,based on the GTWR results.We found that the elasticity of location(i.e.,distance),land use mix(i.e.,diversity),building intensity and numbers of POIs with various functions(i.e.,density)are different across time(2-h intervals within a day)and space(grids),due to people’s everyday lifestyle,time-space constraints,and geographical context(e.g.,spatial structure).The findings highlight the importance of a better understanding of the local geography on the spatiotemporal relationships for urban planners and local governments so as to put forward decision-making support for fostering and maintaining urban vibrancy.
基金National Natural Science Foundation of China(51708004)Construction of Teaching Staff of Famous Young Teachers in Beijing(108051360023XN261)North China University of Technology YuYou Talent Training Program(215051360020XN160/009).
文摘Green space is the main public space in the city and plays an important role in urban environmental health and residents’physical and mental health.The outbreak of COVID-19 has put forward new requirements for urban green space construction in many aspects.Based on the population vitality data of comprehensive parks in the central urban area of Beijing,this paper evaluated urban comprehensive parks in the context of COVID-19 epidemic to reveal the changing process of their use and visit characteristics,and proposed suggestions and strategies to deal with the epidemic in comprehensive parks in the central urban area of Beijing.
基金supported by the Research Project on the Protection,Inheritance and Promotion of Yangtze River Culture in Hubei Province:Study on the Renewal Path of Urban Riverside Space in the Perceived Context of Yangtze River Culture Tourists(Project No.HCYK2024Y60)the Key Project of Philosophy and Social Science Research of Hubei Provincial Department of Education:Construction of Knowledge Atlas of Spatial Morphology of Traditional Villages in Hubei Segment of Yangtze River National Cultural Park(Project No.23D111)Innovation and Entrepreneurship Talents Program in Hubei Province(2023)(Project No.S202310488064).
文摘Urban tourism space is the primary area where tourism activities occur and a key driver of regional tourism space evolution.To explore the correlation between population aggregation and urban tourism spatial heterogeneity in the big data era,this study focuses on Wuhan’s main urban area in 2023.Using the Geographically Weighted Regression model,it analyzes the factors influencing tourism spatial heterogeneity.Additionally,Baidu Heat map data is employed to identify crowd aggregation levels during holidays,revealing the distribution patterns of urban tourism space.The results indicate that(1)factors derived from the GWR model significantly influence the number of tourism spaces in Wuhan,with evident spatial differences;(2)based on the spatial matching of heterogeneity factors and crowd aggregation levels,urban tourism space can be categorized into six types,including five core tourism spaces and other scattered spaces.This research highlights the spatial heterogeneity of urban tourism in Wuhan and provides a scientific basis for the transformation and quality improvement of urban tourism space by exploring the impact of population activity density.
