Recent urban transformations have led to critical reflections on the blighted urban infrastruc-tures and called for re-stimulating vital urban places.Especially,the metro has been recognized as the backbone infrastruc...Recent urban transformations have led to critical reflections on the blighted urban infrastruc-tures and called for re-stimulating vital urban places.Especially,the metro has been recognized as the backbone infrastructure for urban mobility and the associated economy agglomeration.To date,limited research has been devoted to investigating the relationship between metro vitality and built environment in mega-cities empirically.This paper presents a multisource urban data-driven approach to quantify the metro vibrancy and its association with the underlying built environment.Massive smart card data is processed to extract metro ridership,which denotes the vibrancy around the metro station in physical space.Social media check-ins are crawled to measure the vitality of metros in virtual spaces.Both physical and virtual vibrancy are integrated into a holistic metro vibrancy metric using an entropy-based weighting method.Certain built environment characteristics,including land use,transportation and buildings are modeled as independent variables.The significant influences of built environ-mental factors on the metro vibrancy are unraveled using the ordinary least square regression and the spatial lag model.With experiments conducted in Shenzhen,Singapore and London,this study comes up with a conclusion that spatial distributions of metro vibrancy metrics in three cities are spatially autocorrelated.The regression analysis suggests that in all the three cities,more affluent urban areas tend to have higher metro virbrancy,while the road density,land use and buildings tend to impact metro vibrancy in only one or two cities.These results demonstrate the relationship between the metro vibrancy and built environment is affected by complex urban contexts.These findings help us to understand metro vibrancy thus make proper policy to re-stimulate the important metro infrastructure in the future.展开更多
基金supported by the National Natural Science Foundation of China[grant numbers 42071360 and 71961137003]Natural Science Foundation of Guangdong Provinces[grant number 2019A1515011049]+2 种基金the ESRC under JPI Urban Europe/NSFC[grant number ES/T000287/1]the European Research Council(ERC)under the European Union’s Horizon 2020 research and innova-tion programme[grant number 949670]the Basic Research Program of Shenzhen Science and Technology Innovation Committee[JCYJ20180305125113883].
文摘Recent urban transformations have led to critical reflections on the blighted urban infrastruc-tures and called for re-stimulating vital urban places.Especially,the metro has been recognized as the backbone infrastructure for urban mobility and the associated economy agglomeration.To date,limited research has been devoted to investigating the relationship between metro vitality and built environment in mega-cities empirically.This paper presents a multisource urban data-driven approach to quantify the metro vibrancy and its association with the underlying built environment.Massive smart card data is processed to extract metro ridership,which denotes the vibrancy around the metro station in physical space.Social media check-ins are crawled to measure the vitality of metros in virtual spaces.Both physical and virtual vibrancy are integrated into a holistic metro vibrancy metric using an entropy-based weighting method.Certain built environment characteristics,including land use,transportation and buildings are modeled as independent variables.The significant influences of built environ-mental factors on the metro vibrancy are unraveled using the ordinary least square regression and the spatial lag model.With experiments conducted in Shenzhen,Singapore and London,this study comes up with a conclusion that spatial distributions of metro vibrancy metrics in three cities are spatially autocorrelated.The regression analysis suggests that in all the three cities,more affluent urban areas tend to have higher metro virbrancy,while the road density,land use and buildings tend to impact metro vibrancy in only one or two cities.These results demonstrate the relationship between the metro vibrancy and built environment is affected by complex urban contexts.These findings help us to understand metro vibrancy thus make proper policy to re-stimulate the important metro infrastructure in the future.
