期刊
JOURNAL OF TRANSPORT GEOGRAPHY
卷 74, 期 -, 页码 173-180出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.jtrangeo.2018.11.016
关键词
Electric vehicle; Urban charging infrastructure; Multicriteria method; Charging demand; Hexagon-based; Land use; Heterogeneous data
资金
- European Union's Horizon 2020 research and innovation programme [NGM_SZERZ/218/2018]
- Ministry for National Economy of Hungary
- Higher Education Excellence Program of the Ministry of Human Capacities in the frame of Artificial Intelligence research area of Budapest University of Technology and Economics (BME FIKP-MI/FM)
Since the use of electric vehicles decreases the local pollution and noise emission electromobility gains a huge potential in sustainable transport. The currently insufficient charging network, namely the low number of stations and ill-chosen locations are a significant barrier of the widespread of electric vehicles in many countries. Accordingly, localization of new charging stations is of utmost importance. In this study, we develop a two-level charging station locating method. Weighted multicriteria methods were introduced to evaluate territory segments and allocate charging stations within a segment applying a hexagon-based approach and using a greedy algorithm. The novelty of the method in comparison with previous studies is that it assesses the potential of electric vehicle use on macro-level and the possible locations of charging stations on micro-level with a focus on the land-use. We apply the method to Hungary (macro evaluation) and to a district of the capital city, Budapest (micro evaluation). It is found that charging stations at P + R facilities, close to concentrated services and high density areas are better suited to serve urban public charging demand than gas stations.
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