Imperial College London
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MrPrateekBansal

Faculty of Engineering, Department of Civil and Environmental Engineering

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Skempton BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Liu:2019:10.1016/j.trc.2018.09.022,
author = {Liu, Y and Bansal, P and Daziano, R and Samaranayake, S},
doi = {10.1016/j.trc.2018.09.022},
journal = {Transportation Research Part C: Emerging Technologies},
pages = {648--665},
title = {A framework to integrate mode choice in the design of mobility-on-demand systems},
url = {http://dx.doi.org/10.1016/j.trc.2018.09.022},
volume = {105},
year = {2019}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Mobility-on-Demand (MoD) systems are generally designed and analyzed for a fixed and exogenous demand, but such frameworks fail to answer questions about the impact of these services on the urban transportation system, such as the effect of induced demand and the implications for transit ridership. In this study, we propose a unified framework to design, optimize and analyze MoD operations within a multimodal transportation system where the demand for a travel mode is a function of its level of service. An application of Bayesian optimization (BO) to derive the optimal supply-side MoD parameters (e.g., fleet size and fare) is also illustrated. The proposed framework is calibrated using the taxi demand data in Manhattan, New York. Travel demand is served by public transit and MoD services of varying passenger capacities (1, 4 and 10), and passengers are predicted to choose travel modes according to a mode choice model. This choice model is estimated using stated preference data collected in New York City. The convergence of the multimodal supply-demand system and the superiority of the BO-based optimization method over earlier approaches are established through numerical experiments. We finally consider a policy intervention where the government imposes a tax on the ride-hailing service and illustrate how the proposed framework can quantify the pros and cons of such policies for different stakeholders.
AU  - Liu,Y
AU  - Bansal,P
AU  - Daziano,R
AU  - Samaranayake,S
DO  - 10.1016/j.trc.2018.09.022
EP  - 665
PY  - 2019///
SN  - 0968-090X
SP  - 648
TI  - A framework to integrate mode choice in the design of mobility-on-demand systems
T2  - Transportation Research Part C: Emerging Technologies
UR  - http://dx.doi.org/10.1016/j.trc.2018.09.022
UR  - https://www.sciencedirect.com/science/article/pii/S0968090X18313718?via%3Dihub
UR  - http://hdl.handle.net/10044/1/75294
VL  - 105
ER  -
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