The rationality of the spatial configuration of public charging stations is the key to alleviating“range anxiety”of car owners and improving urban infrastructure services.This paper introduces OpenStreetMapnx(OSMnx)...The rationality of the spatial configuration of public charging stations is the key to alleviating“range anxiety”of car owners and improving urban infrastructure services.This paper introduces OpenStreetMapnx(OSMnx)and takes Shanghai,the city with the highest number of new energy vehicles,as the research area.By considering the travel chain process of new energy vehicle owners,the study calculates the accessibility from vehicles to charging and from charging stations to service facilities,and identifies its spatial pattern and influencing factors.Researchshows that:(1)During the travel period from residence to charging(R2C),the number of public charging stations in Shanghai increases as the time range expands,showing a spatial distribution pattern of gradually decreasing from the central urban area to the suburbs and a centripetal clustering trend;(2)The travel section from charging to service facilities(C2S),accessibility from charging stations to recreational facilities is the highest,followed by medical facilities,while accessibility to educational facilities is the lowest,showing a positive clustering distribution feature in space;(3)The impact of population distribution,economic foundation,and government role on the accessibility of different travel segments are different,but regional population distribution and social fixed assets investment have significant impacts on the accessibility of the whole travel chain of Shanghai public charging stations.展开更多
Street Networks, knitted in the urban fabric, facilitate spatial movement and control the flow of urbanization. The interrelation between a city’s spatial network and how the residents travel over it has always been ...Street Networks, knitted in the urban fabric, facilitate spatial movement and control the flow of urbanization. The interrelation between a city’s spatial network and how the residents travel over it has always been of high interest to scholars. Over the years, multifaceted visualization methods have emerged to better express this travel trend from small to large scale. This study proposes a novel approach to 1) visualize city-wide travel patterns with respect to the street network orientation and 2) analyze the discrepancies between travel patterns and streets to evaluate network usability. The visualizations adopt histograms and rose diagrams to provide several insights into network-wide traffic flows. The visualization of four New York City (NYC) boroughs including Queens, Brooklyn, Bronx, and Staten Island was generated for the daily traffic and the average hourly flows in the morning and evening rush hours. Then the contrasts between built-in street network topology and travel orientation were drawn to show where people travel over the network, travel demand, and finally which segments experience high or light traffic, revealing the true picture of network usability. The findings of the study provide an insight into the novel and innovative approach that can help better understand the travel behavior lucidly and assist policymakers in decision making to maintain a balance between urban topology and travel demands. In addition, the study demonstrates how to further investigate city street networks and urbanization from different diverse dimensions.展开更多
基金The National Natural Science Foundation of China(42201199,42401252)The Humanities and Social Sciences Foundation of the Ministry of Education of China(23YJC790051)。
文摘The rationality of the spatial configuration of public charging stations is the key to alleviating“range anxiety”of car owners and improving urban infrastructure services.This paper introduces OpenStreetMapnx(OSMnx)and takes Shanghai,the city with the highest number of new energy vehicles,as the research area.By considering the travel chain process of new energy vehicle owners,the study calculates the accessibility from vehicles to charging and from charging stations to service facilities,and identifies its spatial pattern and influencing factors.Researchshows that:(1)During the travel period from residence to charging(R2C),the number of public charging stations in Shanghai increases as the time range expands,showing a spatial distribution pattern of gradually decreasing from the central urban area to the suburbs and a centripetal clustering trend;(2)The travel section from charging to service facilities(C2S),accessibility from charging stations to recreational facilities is the highest,followed by medical facilities,while accessibility to educational facilities is the lowest,showing a positive clustering distribution feature in space;(3)The impact of population distribution,economic foundation,and government role on the accessibility of different travel segments are different,but regional population distribution and social fixed assets investment have significant impacts on the accessibility of the whole travel chain of Shanghai public charging stations.
文摘Street Networks, knitted in the urban fabric, facilitate spatial movement and control the flow of urbanization. The interrelation between a city’s spatial network and how the residents travel over it has always been of high interest to scholars. Over the years, multifaceted visualization methods have emerged to better express this travel trend from small to large scale. This study proposes a novel approach to 1) visualize city-wide travel patterns with respect to the street network orientation and 2) analyze the discrepancies between travel patterns and streets to evaluate network usability. The visualizations adopt histograms and rose diagrams to provide several insights into network-wide traffic flows. The visualization of four New York City (NYC) boroughs including Queens, Brooklyn, Bronx, and Staten Island was generated for the daily traffic and the average hourly flows in the morning and evening rush hours. Then the contrasts between built-in street network topology and travel orientation were drawn to show where people travel over the network, travel demand, and finally which segments experience high or light traffic, revealing the true picture of network usability. The findings of the study provide an insight into the novel and innovative approach that can help better understand the travel behavior lucidly and assist policymakers in decision making to maintain a balance between urban topology and travel demands. In addition, the study demonstrates how to further investigate city street networks and urbanization from different diverse dimensions.
