The newly emerged traffic mode, car sharing, is helpful to reduce energy consumption and traffic pressure. Low-income people, who have fewer options for transportation and little choice in terms of employment location, need to be paid more attention. In order to evaluate travel efficiency of car sharing system, this paper studied the commuting travel characters of low-income people, including their trip time, trip mode choice, trip length, trip frequency, and route choice each day. Then we put forward the evaluation indexes and studied the efficiency evaluation model of car sharing system and other traffic choices. Considering the characters of various traffic modes, we developed an efficiency index which including the total travel time, distance, and cost. Efficiency evaluation model of car sharing was built using the investigation data of travel mode selection. The results show that car sharing is an efficient traffic mode during peak hours in Beijing. The results are meaningful to guide the operation and management of urban public transport.
- Efficiency evaluation
- Low-Income People
- Car sharing
- Data Envelopment Analysis
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Ong, Paul, and Evelyn Blumenberg. 1998. Job access, commute and travel burden among welfare recipients. Urban Studies 35(1): 77–93.
Blumenberg, Evelyn, and Kimiko Shiki. 2003. How welfare recipients travel on public transit, and their accessibility to employment outside large urban centers. Transportation Quarterly 57(2): 25–37.
Blumenberg, Evelyn, and Trevor Thomas. 2013. Travel behavior of the poor post-welfare reform. In TRB 2014 Annual Meeting.
Shaheen, S., D. Sperling, and C. Wagner. 1998. Carsharing in Europe and North America: Past present and future. Transportation Quarterly 52(3): 35–52.
Chen, T. Donna, and Kara M. Kockelman. 2015. Carsharing’s life-cycle impacts on energy use and greenhouse gas emissions. Transportation Research Record, January 2015.
Charnes, A., W.W. Cooper, and E. Rhodes. 1978. Measuring efficiency of decision-making units. European Journal of Operational Research 2: 429–444.
Bardhi, Fleura, and Giana M. Eckhardet. 2012. Access-based consumption: The case of car sharing. Journal of Consumer Research 39.
Barnum, D.T., J.M. Gleason, and B. Hemily. 2008. Using panel data analysis to estimate DEA confidence intervals adjusted for the environment. Journal of Transportation Engineering, ASCE 134 (5): 215–223.
Huijberts, H.J.C. 2002. Synchronous motion in a continuous car-following model for a bus route. Proceedings of the IEEE Conference on Decision and Control 1: 716–721.
Min, Hokey, and Byung In Oark. 2005. Evaluating the inter-temporal efficiency trends of international container terminals using data envelopment analysis. International Journal of Integrated Supply Management, International Journal Supply Management (Switzerland) 1(3), 258–277.
This research was supported by National Nature Science Foundation of China (No. 51308017), Science and Technology Program of Beijing (Grant No. D161100005616001), Beijing Nova Program (Grant No. Z141106001814110).
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Yao, L., Chen, K. (2018). Efficiency Evaluation Model of Car Sharing for Low-Income People. In: Wang, W., Bengler, K., Jiang, X. (eds) Green Intelligent Transportation Systems. GITSS 2016. Lecture Notes in Electrical Engineering, vol 419. Springer, Singapore. https://doi.org/10.1007/978-981-10-3551-7_73
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-3550-0
Online ISBN: 978-981-10-3551-7