A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Taxi driver’s learning curves: An empirical analysis
https://orcid.org/0000-0002-9602-4263
Abstract This study aims to understand the dynamic change in individual taxi drivers’ performance in terms of income and passenger-search performance. We analyzed the global positioning system(GPS) data of 14,170 taxi drivers from a taxi company in Singapore, covering a period of 24 months. Our empirical analyses show that (1) accumulated driving experience increases income and that (2) as taxi drivers accumulate driving experience, they are likely to find new passengers more efficiently by spotting better search areas. We also conducted a field study to extend our understanding of and identify other factors that were not considered in our estimation but could play pivotal roles in performance enhancement, including improved passenger-search routine. The implications of our findings for both theory and practice are discussed.
Taxi driver’s learning curves: An empirical analysis
https://orcid.org/0000-0002-9602-4263
Abstract This study aims to understand the dynamic change in individual taxi drivers’ performance in terms of income and passenger-search performance. We analyzed the global positioning system(GPS) data of 14,170 taxi drivers from a taxi company in Singapore, covering a period of 24 months. Our empirical analyses show that (1) accumulated driving experience increases income and that (2) as taxi drivers accumulate driving experience, they are likely to find new passengers more efficiently by spotting better search areas. We also conducted a field study to extend our understanding of and identify other factors that were not considered in our estimation but could play pivotal roles in performance enhancement, including improved passenger-search routine. The implications of our findings for both theory and practice are discussed.
Taxi driver’s learning curves: An empirical analysis
https://orcid.org/0000-0002-9602-4263
Abstract This study aims to understand the dynamic change in individual taxi drivers’ performance in terms of income and passenger-search performance. We analyzed the global positioning system(GPS) data of 14,170 taxi drivers from a taxi company in Singapore, covering a period of 24 months. Our empirical analyses show that (1) accumulated driving experience increases income and that (2) as taxi drivers accumulate driving experience, they are likely to find new passengers more efficiently by spotting better search areas. We also conducted a field study to extend our understanding of and identify other factors that were not considered in our estimation but could play pivotal roles in performance enhancement, including improved passenger-search routine. The implications of our findings for both theory and practice are discussed.
Taxi driver’s learning curves: An empirical analysis
Kim, Youngsoo (author)
Transportation Research Part A: Policy and Practice ; 166 ; 1-13
2022-07-06
13 pages
Article (Journal)
Electronic Resource
English
Taxi Driver's Route Choice Behavior Analysis Based on Floating Car Data
| British Library Conference Proceedings | 2013
Empirical evidence for taxi customer-search model
| Online Contents | 2010
TRAILER TOWING TAXI AND TAXI SERVICE METHOD USING TRAILER TOWING TAXI
| European Patent Office | 2020