Numerous metropolises worldwide have adopted transit-oriented development(TOD)as a sustainable urban development tactic.And the node-place model is the most commonly used model for TOD typology.However,the spatial vit...Numerous metropolises worldwide have adopted transit-oriented development(TOD)as a sustainable urban development tactic.And the node-place model is the most commonly used model for TOD typology.However,the spatial vitality,one of the most fundamental aspects of TOD,has not been systematically taken into account in the node-place model.Therefore,this article introduces vitality as a third dimension into node-place model and develops the node-place-vitality(NPV)model,aiming to comprehensively re-classify and re-evaluate TOD performance.The independent weight coefficient method is used to compute place values,node values,vitality values,and overall TOD degree.Moreover,the categorization of TOD typologies makes use of the K-means++clustering approach.The model is employed in a case study in Wuhan,China.The results show that the TOD degree exhibits a spatial discrepancy,characterized as“high-medium-low”from the center to the periphery,not only in the whole city but also in the three towns.The geographical characteristics of TOD degree within station catchment area are revealed by the heat map.Five TOD types are identified and they present obvious spatial differentiation.The approach proposed in this paper furnishes urban planners and decision-makers with a scientific instrument for assisting TOD planning and strategies designing.展开更多
The node-place model has been widely used to classify and evaluate transit stations,which sheds light on individuals’travel behaviors and supports urban planning through effectively integrating land use and transport...The node-place model has been widely used to classify and evaluate transit stations,which sheds light on individuals’travel behaviors and supports urban planning through effectively integrating land use and transportation development.This study adapts this model to investigate whether and how node,place,and mobility would be associated with the transmission risks and presences of the local COVID-19 cases in a city.Moreover,the unique metric drawn from detailed visit history of the infected,i.e.,the COVID-19 footprints,is proposed and exploited.This study then empirically uses the adapted model to examine the station-level factors affecting the local COVID-19 footprints.The model accounts for traditional measures of the node and place as well as actual human mobility patterns associated with the node and place.It finds that stations with high node,place,and human mobility indices normally have more COVID-19 footprints in proximity.A multivariate regression is fitted to see whether and to what degree different indices and indicators can predict the COVID-19 footprints.The results indicate that many of the place,node,and human mobility indicators significantly impact the concentration of COVID-19 footprints.These are useful for policy-makers to predict and monitor hotspots for COVID-19 and other pandemics’transmission.展开更多
【目的】随着城市化进程不断加快,城市交通拥挤、环境污染、用地紧张等问题日趋严重。城市交通拥挤的主要原因之一在于交通供给与土地利用之间的不协调。地铁站点周边交通与土地利用的协调性分析有利于促进城市交通建设的可持续发展。...【目的】随着城市化进程不断加快,城市交通拥挤、环境污染、用地紧张等问题日趋严重。城市交通拥挤的主要原因之一在于交通供给与土地利用之间的不协调。地铁站点周边交通与土地利用的协调性分析有利于促进城市交通建设的可持续发展。【方法】本文基于节点-场所模型(Node-Place Model,N-P Model),考虑使用节点价值与场所价值的比值对传统模型进行优化,同时通过运用地理信息系统(geographic information system,GIS),选取站点场所功能和节点功能多个评价指标,并结合熵权-TOPSIS(technique for order preference by similarity to ideal solution)评价法构建站点协调度评价体系,最后获得站点排名情况、轨道交通站点周边交通与土地利用的协调水平。【结果】本文对长沙市轨道交通二号线部分站点进行协调性分析。其结果表明,优化后的模型与传统的模型存在差异,且大部分站点地区协同程度较高,但协调性存在差异。本文对协调性差的站点提出了相应的优化策略。【结论】轨道交通站点区域交通与土地利用的协调性分析能为城市轨道交通发展提供理论参考,有利于城市交通可持续发展。展开更多
基金supported by Wuhan Science and Technology Bureau(Grant No.2022010801020310)the Department of Education of Hubei Province(Grant No.22Q025)the Department of Culture and Tourism of Hubei Province(Grant No.HCYK2022Y08).
文摘Numerous metropolises worldwide have adopted transit-oriented development(TOD)as a sustainable urban development tactic.And the node-place model is the most commonly used model for TOD typology.However,the spatial vitality,one of the most fundamental aspects of TOD,has not been systematically taken into account in the node-place model.Therefore,this article introduces vitality as a third dimension into node-place model and develops the node-place-vitality(NPV)model,aiming to comprehensively re-classify and re-evaluate TOD performance.The independent weight coefficient method is used to compute place values,node values,vitality values,and overall TOD degree.Moreover,the categorization of TOD typologies makes use of the K-means++clustering approach.The model is employed in a case study in Wuhan,China.The results show that the TOD degree exhibits a spatial discrepancy,characterized as“high-medium-low”from the center to the periphery,not only in the whole city but also in the three towns.The geographical characteristics of TOD degree within station catchment area are revealed by the heat map.Five TOD types are identified and they present obvious spatial differentiation.The approach proposed in this paper furnishes urban planners and decision-makers with a scientific instrument for assisting TOD planning and strategies designing.
基金financially supported by the Seed Fund for Basic Research,Platform Technology Funding(URC012530226)Seed Fund for PI Research-Basic Research(URC109000301)+1 种基金Seed Funding for Strategic Interdisciplinary Research Scheme(URC102010057)the University of Hong Kong,Hong Kong,China and Guangdong-Hong Kong-Macao Joint Laboratory Program(2020B1212030009).
文摘The node-place model has been widely used to classify and evaluate transit stations,which sheds light on individuals’travel behaviors and supports urban planning through effectively integrating land use and transportation development.This study adapts this model to investigate whether and how node,place,and mobility would be associated with the transmission risks and presences of the local COVID-19 cases in a city.Moreover,the unique metric drawn from detailed visit history of the infected,i.e.,the COVID-19 footprints,is proposed and exploited.This study then empirically uses the adapted model to examine the station-level factors affecting the local COVID-19 footprints.The model accounts for traditional measures of the node and place as well as actual human mobility patterns associated with the node and place.It finds that stations with high node,place,and human mobility indices normally have more COVID-19 footprints in proximity.A multivariate regression is fitted to see whether and to what degree different indices and indicators can predict the COVID-19 footprints.The results indicate that many of the place,node,and human mobility indicators significantly impact the concentration of COVID-19 footprints.These are useful for policy-makers to predict and monitor hotspots for COVID-19 and other pandemics’transmission.
文摘【目的】随着城市化进程不断加快,城市交通拥挤、环境污染、用地紧张等问题日趋严重。城市交通拥挤的主要原因之一在于交通供给与土地利用之间的不协调。地铁站点周边交通与土地利用的协调性分析有利于促进城市交通建设的可持续发展。【方法】本文基于节点-场所模型(Node-Place Model,N-P Model),考虑使用节点价值与场所价值的比值对传统模型进行优化,同时通过运用地理信息系统(geographic information system,GIS),选取站点场所功能和节点功能多个评价指标,并结合熵权-TOPSIS(technique for order preference by similarity to ideal solution)评价法构建站点协调度评价体系,最后获得站点排名情况、轨道交通站点周边交通与土地利用的协调水平。【结果】本文对长沙市轨道交通二号线部分站点进行协调性分析。其结果表明,优化后的模型与传统的模型存在差异,且大部分站点地区协同程度较高,但协调性存在差异。本文对协调性差的站点提出了相应的优化策略。【结论】轨道交通站点区域交通与土地利用的协调性分析能为城市轨道交通发展提供理论参考,有利于城市交通可持续发展。
