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Using household travel surveys collected from three urban areas in China including Tongren, Quanzhou, and Shaoxing, this study provides an empirical analysis to investigate the influencing factors on trip chain patterns. Trip chain pattern is defined as a sequence of activities connected by multiple trips, which start at home, contain one or more home and/or non-home stops, finally end at home. More importantly, it is classified into four types according the number of home stops and activities conducted. Results of the multinomial logit model confirm that personal socio-demographic characteristics, such as education status and presence of schoolchild, have significant effects on choice of trip chain pattern. Comparisons among the three cities suggest that the decision of trip chain pattern greatly varies, which could be exclusively attributed to specific urban attributes, such as economic development and cultural background. The findings gain a deeper insight into individual’s behavioral decision on multiple trips by simultaneously accounting for the urban dimensions, which are expected to be useful for transport governors and operators.

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

18-00365

English

14p

2018

Transportation Research Board 97th Annual Meeting

Digital/other

Figures; References; Tables

Demographics; Multinomial logits; Social factors; Travel behavior; Travel patterns; Travel surveys; Trip chaining; Urban areas

China

Highways; Planning and Forecasting; Society

Transportation Research Board Annual Meeting 2018 Paper #18-00365

TRIS, TRB, ATRI

Jan 8 2018 10:06AM