01659528

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The transportation industry has witnessed a rapidly growing interest in ride-sourcing services over the past few years. There exist conflicting perspectives about the impact of these new services on the ridership of other travel modes, specifically public transportation. Therefore, there is a significant need for understanding the potential changes in people’s travel behavior in the presence of such shared services. This study aims to investigate people’s mode choice behavior using a recent stated preference survey conducted in Chicago metropolitan area. To achieve this goal, a random parameters nested logit model is developed to simultaneously account for possible inter-alternative correlations and unobserved heterogeneity. The results suggest that a wide range of socio-economic characteristics, trip attributes, and variables indicating travelers’ opinion about shared mobility services are key determinants of their mode choice decision. The analysis also consists of developing a multinomial logit and a nested logit model to assess the performance of the proposed model. The results indicate that the random parameters nested logit model outperforms its counterparts in terms of goodness-of-fit.

This paper was sponsored by TRB committee ADB20 Standing Committee on Effects of Information and Communication Technologies (ICT) on Travel Choices.

18-01114

English

4p

2018

Transportation Research Board 97th Annual Meeting

Digital/other

References

Correlation analysis; Demand responsive transportation; Logits; Mobility; Modal diversion; Mode choice; Multinomial logits; Ridership; Ridesharing; Ridesourcing; Stated preferences; Travel behavior

Shared-use vehicle systems

Heterogeneity (Choices)

Chicago (Illinois)

Highways; Planning and Forecasting; Public Transportation

Transportation Research Board Annual Meeting 2018 Paper #18-01114

TRIS, TRB, ATRI

Jan 8 2018 10:17AM