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Published in: Transportation 2/2020

11-10-2018

Influencing factors and heterogeneity in ridership of traditional and app-based taxi systems

Authors: Wenbo Zhang, Tho V. Le, Satish V. Ukkusuri, Ruimin Li

Published in: Transportation | Issue 2/2020

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Abstract

The growth of app-based taxi services has disrupted the urban taxi market. It has seen significant demand shift between the traditional and emerging app-based taxi services. This study explores the influencing factors for determining the ridership distribution of taxi services. Considering the spatial, temporal, and modal heterogeneity, we propose a mixture modeling structure of spatial lag and simultaneous equation model. A case study is designed with 6-month trip records of two traditional taxi services and one app-based taxi service in New York City. The case study provides insights on not only the influencing factors for taxi daily ridership but also the appropriate settings for model estimation. In specific, the hypothesis testing demonstrates a method for determining the spatial weight matrix, estimation strategies for heterogeneous spatial and temporal units, and the minimum sample size required for reliable parameter estimates. Moreover, the study identifies that daily ridership is mainly influenced by number of employees, vehicle ownership, density of developed area, density of transit stations, density of parking space, bike-rack density, day of the week, and gasoline price. The empirical analyses are expected to be useful not only for researchers while developing and estimating models of taxi ridership but also for policy makers while understanding interactions between the traditional and emerging app-based taxi services.
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Metadata
Title
Influencing factors and heterogeneity in ridership of traditional and app-based taxi systems
Authors
Wenbo Zhang
Tho V. Le
Satish V. Ukkusuri
Ruimin Li
Publication date
11-10-2018
Publisher
Springer US
Published in
Transportation / Issue 2/2020
Print ISSN: 0049-4488
Electronic ISSN: 1572-9435
DOI
https://doi.org/10.1007/s11116-018-9931-2