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
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
对大型城市而言,以TOD(transit-oriented-development)模式为导向进行城市建设对缓解交通拥堵、节约土地资源具有重要的现实意义。为有效评价TOD模式的实施效能,首先以轨道交通和城市用地的协调程度为切入点,基于经典的“节点-场所”模...对大型城市而言,以TOD(transit-oriented-development)模式为导向进行城市建设对缓解交通拥堵、节约土地资源具有重要的现实意义。为有效评价TOD模式的实施效能,首先以轨道交通和城市用地的协调程度为切入点,基于经典的“节点-场所”模型(node-place model),结合城市路网、人口、建筑等多源数据,对地铁站点区域内TOD模式导向下的建设效能进行评估并对站点进行分类。随后根据交通与发展政策研究所(institute for transportation and development policy,ITDP)的评价标准对各类别的典型站点进行了调研和分析。以武汉市地铁2号线为例,研究结果表明,站域土地利用和交通功能的协同发展更符合TOD模式导向下的建设要求。武汉市应当对不同类型的站点采取针对性措施,以提高其TOD建设效能。展开更多
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.
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.
文摘对大型城市而言,以TOD(transit-oriented-development)模式为导向进行城市建设对缓解交通拥堵、节约土地资源具有重要的现实意义。为有效评价TOD模式的实施效能,首先以轨道交通和城市用地的协调程度为切入点,基于经典的“节点-场所”模型(node-place model),结合城市路网、人口、建筑等多源数据,对地铁站点区域内TOD模式导向下的建设效能进行评估并对站点进行分类。随后根据交通与发展政策研究所(institute for transportation and development policy,ITDP)的评价标准对各类别的典型站点进行了调研和分析。以武汉市地铁2号线为例,研究结果表明,站域土地利用和交通功能的协同发展更符合TOD模式导向下的建设要求。武汉市应当对不同类型的站点采取针对性措施,以提高其TOD建设效能。
