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Sustainability 2017, 9(1), 152; doi:10.3390/su9010152

Siting of Carsharing Stations Based on Spatial Multi-Criteria Evaluation: A Case Study of Shanghai EVCARD

1,2,* , 1,2
,
1,2
and
1,2
1
The Key Laboratory of Road and Traffic Engineering, Ministry of Education, Shanghai 201804, China
2
College of Transportation Engineering, Tongji University, Shanghai 201804, China
*
Author to whom correspondence should be addressed.
Academic Editor: Mohamed Bakillah
Received: 25 November 2016 / Revised: 11 January 2017 / Accepted: 16 January 2017 / Published: 20 January 2017
View Full-Text   |   Download PDF [3895 KB, uploaded 20 January 2017]   |  

Abstract

Carsharing is one of the effective ways to relieve the problems of traffic jams, parking difficulties, and air pollution. In recent years, the numbers of carsharing services and their members have remarkably increased around the world. The project of electric carsharing in Shanghai, called EVCARD, has also developed rapidly with very large demand and supply. Aiming to determine the optimal locations of future stations of the EVCARD, this research employs a novel method combining the analytic hierarchy process (AHP) and geographical information system (GIS) with big data. Potential users, potential travel demand, potential travel purposes, and distance from existing stations are selected as the decision criteria. A siting decision system is established, consisting of 15 evaluation indicators which are calculated from multi-source data on mobile phones, taxi trajectory, point of interests (POI), and the EVCARD operation. The method of the AHP is used to determine the indicator weights, and the “Spatial Analyst” tool of ArcGIS is adopted to generate the indicator values for every 1 km × 1 km decision unit. Finally, synthetic scores are calculated to evaluate the candidate sites of EVCARD stations. The results of the case study verify the effectiveness of the proposed method, which can provide a more scientific and feasible method for carsharing operators to site stations, avoiding aimless and random decisions. View Full-Text
Keywords: carsharing; analytic hierarchy process; geographical information system; big data carsharing; analytic hierarchy process; geographical information system; big data
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Li, W.; Li, Y.; Fan, J.; Deng, H. Siting of Carsharing Stations Based on Spatial Multi-Criteria Evaluation: A Case Study of Shanghai EVCARD. Sustainability 2017, 9, 152.

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