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Accessibility Evaluation Dataset of Public Charging Stations of New Energy Vehicles in Beijing

HUANG Jie1,2GAO Yang1,2
1 Institute of Geographic Sciences and Natural Resources Research & Key Laboratory of Regional Sustainable Development Modeling,Chinese Academy of Sciences,Beijing 100101,China2 College of Resources and Environment,University of Chinese Academy of Sciences,Beijing 100049,China


Published:Apr. 2023

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Key Words:

residential travel,accessibility,public service facilities,electric vehicles


Accessibility refers to the convenience of overcoming spatial distance to reach a certain point, and it is one of the commonly used indicators in the study of public service facilities. Based on the spatial distribution of public charging station sites, population distribution, POI data, and other related information in Beijing's core area within the Sixth Ring Road in 2020, the authors used a two-step moving search method, cumulative opportunity method, and spatial clustering to obtain spatial accessibility to public charging facilities and cumulative walking opportunities after charging completion at a 1 km scale for driving departure, as well as the comprehensive accessibility evaluation dataset for the two-step process. The dataset includes: (1) accessibility data of public charging stations for each electric vehicle starting in 1 km grid within the Sixth Ring Road in Beijing, with the field name "PA". (2) the cumulative opportunity count of various types of public service facilities reachable by each vehicle owner starting in 1 km grid within the Sixth Ring Road in Beijing, with the field name "OA". (3) the comprehensive evaluation of accessibility for both driving and walking stages of vehicle owners, with the field name "combi1_2". The dataset is archived in .shp format, and consists of 8 data files with data size of 963 KB (Compressed into one file with 153 KB). The analysis paper based on this dataset was published at Geographical Research, Vol. 41, No. 12, 2022.Browse

Foundation Item:

National Social Science Fund of China (20&ZD099)

Data Citation:

HUANG Jie, GAO Yang. Accessibility Evaluation Dataset of Public Charging Stations of New Energy Vehicles in Beijing[J/DB/OL]. Digital Journal of Global Change Data Repository, 2023.

HUANG Jie, GAO Yang. Accessibility evaluation 1-km ruster dataset development of public charging stations of new energy vehicles in Beijing (2020) [J]. Journal of Global Change Data & Discovery, 2023, 7(1): 48-55.


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Data Product:

ID Data Name Data Size Operation
1 AccessibilityofBeijingchargingpile_2020.rar 152.72KB