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An empirical investigation of taxi driver response behavior to ride-hailing requests: A spatio-temporal perspective.

Using data provided by a ride-hailing platform, this paper examines the factors that affect taxi driver response behavior to ride-hailing requests. The empirical investigation from a driver's perspective is of great importance for ride-hailing service providers, given that approximately 40% of the h... Full description

Journal Title: PloS one 2018, Vol.13(6), p.e0198605
Main Author: Xu, Ke
Other Authors: Sun, Luping , Liu, Jingchen , Wang, Hansheng
Format: Electronic Article Electronic Article
Language: English
Subjects:
ID: E-ISSN: 1932-6203 ; DOI: 10.1371/journal.pone.0198605
Link: http://search.proquest.com/docview/2052807464/?pq-origsite=primo
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recordid: proquest2052807464
title: An empirical investigation of taxi driver response behavior to ride-hailing requests: A spatio-temporal perspective.
format: Article
creator:
  • Xu, Ke
  • Sun, Luping
  • Liu, Jingchen
  • Wang, Hansheng
subjects:
  • Automobile Driving–Psychology
  • Humans–Psychology
  • Internet–Psychology
  • Models, Psychological–Psychology
  • Motivation–Psychology
  • Spatial Behavior–Psychology
  • Time Factors–Psychology
  • Transportation–Psychology
ispartof: PloS one, 2018, Vol.13(6), p.e0198605
description: Using data provided by a ride-hailing platform, this paper examines the factors that affect taxi driver response behavior to ride-hailing requests. The empirical investigation from a driver's perspective is of great importance for ride-hailing service providers, given that approximately 40% of the hailing requests receive no response from any driver. To comprehensively understand taxi driver response behavior, we use a rich dataset to generate variables related to the spatio-temporal supply-demand intensities, the economic incentives, the requests' and the drivers' characteristics. The results show that drivers are more likely to respond to requests with economic incentives (especially a firm subsidy), and those with a lower spatio-temporal demand intensity or a higher spatio-temporal supply intensity. In addition, drivers are more likely to respond to requests involving rides covering a greater geographical distance and to those with a smaller number of repeated submissions. The drivers' characteristics, namely, the number of requests received and the number of requests responded, however, have relatively little impacts on their response probability to the current request. Our findings contribute to the related literature and provide managerial implications for ride-hailing service providers.
language: eng
source:
identifier: E-ISSN: 1932-6203 ; DOI: 10.1371/journal.pone.0198605
fulltext: fulltext
issn:
  • 19326203
  • 1932-6203
url: Link


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titleAn empirical investigation of taxi driver response behavior to ride-hailing requests: A spatio-temporal perspective.
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identifierE-ISSN: 1932-6203 ; DOI: 10.1371/journal.pone.0198605
subjectAutomobile Driving–Psychology ; Humans–Psychology ; Internet–Psychology ; Models, Psychological–Psychology ; Motivation–Psychology ; Spatial Behavior–Psychology ; Time Factors–Psychology ; Transportation–Psychology
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descriptionUsing data provided by a ride-hailing platform, this paper examines the factors that affect taxi driver response behavior to ride-hailing requests. The empirical investigation from a driver's perspective is of great importance for ride-hailing service providers, given that approximately 40% of the hailing requests receive no response from any driver. To comprehensively understand taxi driver response behavior, we use a rich dataset to generate variables related to the spatio-temporal supply-demand intensities, the economic incentives, the requests' and the drivers' characteristics. The results show that drivers are more likely to respond to requests with economic incentives (especially a firm subsidy), and those with a lower spatio-temporal demand intensity or a higher spatio-temporal supply intensity. In addition, drivers are more likely to respond to requests involving rides covering a greater geographical distance and to those with a smaller number of repeated submissions. The drivers' characteristics, namely, the number of requests received and the number of requests responded, however, have relatively little impacts on their response probability to the current request. Our findings contribute to the related literature and provide managerial implications for ride-hailing service providers.
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