Integrating Empirical Analysis into Analytical Framework: An Integrated Model Structure for On-Demand Transportation

Yuliu Su, Ying Xu (), Costas Courcoubetis and Shih-Fen Cheng
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Yuliu Su: Singapore University of Technology and Design
Ying Xu: Singapore University of Technology and Design
Costas Courcoubetis: Singapore University of Technology and Design
Shih-Fen Cheng: Singapore Management University

A chapter in AI and Analytics for Smart Cities and Service Systems, 2021, pp 300-315 from Springer

Abstract: Abstract On-demand transportation services have been developing in an irresistible trend since their first launch in public. These services not only transform the urban mobility landscape, but also profoundly change individuals’ travel behavior and demand for cars. In this paper, we propose an integrated model structure which integrates empirical analysis into a discrete choice based analytical framework to investigate a heterogenous population’s choices on transportation mode and car ownership with the presence of ride-hailing. Distinguished from traditional discrete choice models where individuals’ choices are only affected by exogenous variables and are independent of other individuals’ choices, our model extends to capture the endogeneity of supply demand imbalance between ride-hailing service providers and users. Through equilibrium searching and counterfactual analysis, we further quantify the magnitude of impacts of platform operations and government policies on car demand, usage and traffic conditions. The structure of the model and managerial insights are explained in detail.

Keywords: Ride-hailing; Peer-to-peer sharing; On-demand platforms; Mobility as a service (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnopch:978-3-030-90275-9_25

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DOI: 10.1007/978-3-030-90275-9_25

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