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Title:

Exploring Factors Affecting Demand Characteristics of Station-Based, One-Way Carsharing: A Case Study of EVCARD in Shanghai, China

Accession Number:

01663294

Record Type:

Component

Abstract:

The goal of this research is to explore the factors that affect carsharing demand characteristics in different time periods, which based on transaction data made by EVCARD, the largest station-based one-way carsharing program in Shanghai, China. Monthly station usage intensity (total of pick-up and drop-off on a station per month) and station usage imbalance degree (the ratio of difference between pick-up and drop-off to the sum of pick-up and drop-off in specific time period) are used as the proxies of demand. Three groups of independent variables are involved in research: carsharing station attributes, built environment (density, diversity, design, and destination accessibility) and transportation facilities. Multiple linear regression model is developed to identify the factors influencing carsharing station usage intensity; given usage imbalance degree has value in range (0, 1), beta regression model is developed to identify the factors affecting station usage imbalance degree. Dependent variables in each time period are modeled individually.The results show that 1) the effect of factors affect demand is dynamic across different time period; 2) for station attributes, longer station age results in higher usage intensity and more balanced usage of station; limitation of accessing station leads to lower usage intensity and more imbalanced usage of station; 3) for built environment and transportation variables, diversity, design, destination accessibility and density of car rental station, college & university etc. positively influence usage intensity and usage balance of station. In contrast, residential and industrial points negatively affect usage intensity and usage balance of station.

Supplemental Notes:

This paper was sponsored by TRB committee ADB40 Standing Committee on Transportation Demand Forecasting.

Report/Paper Numbers:

18-06213

Language:

English

Authors:

Chen, Xiaohong
Cheng, Jiaqi
Ye, Jianhong
Jin, Yong
Li, Xi
Zhang, Fei

Pagination:

20p

Publication Date:

2018

Conference:

Transportation Research Board 97th Annual Meeting

Location: Washington DC, United States
Date: 2018-1-7 to 2018-1-11
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References; Tables

Geographic Terms:

Shanghai (China)

Subject Areas:

Highways; Planning and Forecasting; Public Transportation

Source Data:

Transportation Research Board Annual Meeting 2018 Paper #18-06213

Files:

TRIS, TRB, ATRI

Created Date:

Jan 8 2018 11:36AM