An empirical evaluation of different usage pattern between car-sharing battery electric vehicles and private ones. (May 2020)
- Record Type:
- Journal Article
- Title:
- An empirical evaluation of different usage pattern between car-sharing battery electric vehicles and private ones. (May 2020)
- Main Title:
- An empirical evaluation of different usage pattern between car-sharing battery electric vehicles and private ones
- Authors:
- Wang, Wanying
Zhang, Qiang
Peng, Zhanglin
Shao, Zhen
Li, Xuefang - Abstract:
- Abstract: As a non-ownership business mode, a car-sharing service system has received an extensive popularization recently. Many related studies based on the theoretical and questionnaire analyses have confirmed the existence of differences in usage patterns between car-sharing users and private users. Nowadays, usage data provides a new way to analyze and understand the usage pattern of vehicles, which can improve user experience. To study the usage of car-sharing cars and private ones, namely, to study their usage patterns, this paper proposes an evaluation indicator system for usage pattern based on the battery electric vehicle (BEV) data. The evaluation indicator system is based on the state transition approach and describes the usage pattern of BEVs from three dimensions. The travel temporal and travel spatial dimensions describe the time and space characteristics of usage pattern. The decision-making dimension, as a cause of state transition at the micro level, describes the decision-making pattern according to a conceptual psychological model. Finally, an empirical study using the promotion is undertaken to explore differences in the performance of the two BEV types using the real-world usage data. Results show that the evaluation indicator system can identify the differences in usage pattern between car-sharing BEVs and private ones effectively and objectively from different perspectives. According to the analysis results, the car-sharing BEVs are used to satisfyAbstract: As a non-ownership business mode, a car-sharing service system has received an extensive popularization recently. Many related studies based on the theoretical and questionnaire analyses have confirmed the existence of differences in usage patterns between car-sharing users and private users. Nowadays, usage data provides a new way to analyze and understand the usage pattern of vehicles, which can improve user experience. To study the usage of car-sharing cars and private ones, namely, to study their usage patterns, this paper proposes an evaluation indicator system for usage pattern based on the battery electric vehicle (BEV) data. The evaluation indicator system is based on the state transition approach and describes the usage pattern of BEVs from three dimensions. The travel temporal and travel spatial dimensions describe the time and space characteristics of usage pattern. The decision-making dimension, as a cause of state transition at the micro level, describes the decision-making pattern according to a conceptual psychological model. Finally, an empirical study using the promotion is undertaken to explore differences in the performance of the two BEV types using the real-world usage data. Results show that the evaluation indicator system can identify the differences in usage pattern between car-sharing BEVs and private ones effectively and objectively from different perspectives. According to the analysis results, the car-sharing BEVs are used to satisfy more usage-purposes of users, and sharing users tend to have a higher demand for speed and show lower aversiveness of low-range driving situations at the psychological level. … (more)
- Is Part Of:
- Transportation research. Volume 135(2020)
- Journal:
- Transportation research
- Issue:
- Volume 135(2020)
- Issue Display:
- Volume 135, Issue 2020 (2020)
- Year:
- 2020
- Volume:
- 135
- Issue:
- 2020
- Issue Sort Value:
- 2020-0135-2020-0000
- Page Start:
- 115
- Page End:
- 129
- Publication Date:
- 2020-05
- Subjects:
- Evaluation indicator system -- Battery electric vehicle -- Car-sharing systems -- Car usage pattern -- Usage data analysis
Transportation -- Research -- Periodicals
388.011 - Journal URLs:
- http://www.sciencedirect.com/science/journal/09658564 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.tra.2020.03.014 ↗
- Languages:
- English
- ISSNs:
- 0965-8564
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 9026.274604
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 13510.xml