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Data Details

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

DOI:10.3974/geodb.2023.04.02.V1

Published:Apr. 2023

Visitors：3670       Data Files Downloaded：91      
Data Downloaded：13.57 MB      Citations：

Key Words：

residential travel,accessibility,public service facilities,electric vehicles

Abstract：

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.

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. https://doi.org/10.3974/geodb.2023.04.02.V1.

References：

[1] Mora, R., Truffello, R., Oyarzún, G. Equity and accessibility of cycling infrastructure: An analysis of Santiago de Chile [J]. Journal of Transport Geography, 2021, 91: 102964.
     [2] Wu, H., Levinson, D. Unifying access [J]. Transportation Research Part D: Transport and Environment, 2020, 83: 102355.
     [3] Pantelidis, T. P., Li, L., Ma, T. Y., et al. A node-charge graph-based online carshare rebalancing policy with capacitated electric charging [J]. Transportation Science, 2022, 56(3): 654-76.
     [4] Wang, F. Measurement, optimization, and impact of health care accessibility: A methodological review [J]. Annals of the Association of American Geographers, 2012, 102(5): 1104-1112.
     [5] Lin, B., Liu, X. China's carbon dioxide emissions under the urbanization process: Influence factors and abatement policies [J]. Economic Research Journal, 2010, 45(8): 66-78.
     [6] Ma, J., Liu, X., Chen, Y., et al. Current status and countermeasures for China's new energy automobile industry and technology development [J]. China Journal of Highway and Transport, 2018, 31(8): 1-19.
     [7] Tang, B., Wang, X., Wang, B., et al. Analysis and prospect of the development level of China's new energy vehicle industry [J]. Journal of Beijing Institute of Technology: Social Sciences Edition, 2019, 21(2): 6-11.
     [8] Zhang, D., Jiang, J., Zhang, W., et al. Optimal configuration of charging piles for electric taxis [J]. Transactions of China Electrotechnical Society, 2015, 31(18): 181-188.
     [9] Fang, Z., Zhang, J., Sun, Y., et al. Study on quantity planning of charging piles considering multi-objective constraints [J]. Power System Technology, 2020, 44(2): 704-712.
     [10] Wang, F., Wang, S., Li, M. Dynamic evolution and function optimization of green open space system in Luoyang [J]. Geographical Research, 2012, 31(7): 1209-1223.
     [11] Zhao, P., Luo, J., Hu, H. Spatial match between residents' daily life circle and public service facilities using big data analytics: A case of Beijing [J]. Progress in Geography, 2021, 40(4): 541-553.
     [12] Beijing Transportation Development Research Institute. Annual Report of Beijing Transportation Development in 2021 [EB/OL]. https://www.bjtrc.org.cn/List/index/cid/7.html, 2021-10-08.
     

Data Product:

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