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Understanding peak avoidance commuting by subway: an empirical study in Beijing
- Source :
- International Journal of Logistics Research and Applications. 21:597-613
- Publication Year :
- 2018
- Publisher :
- Informa UK Limited, 2018.
-
Abstract
- Congestion is a major problem for peak-hour commuters in the Beijing subway system, as it leads to long queuing times and overcrowded vehicles. This paper explores to what extent peak travel can be reduced by providing incentives for peak avoidance. In a stated preference study, travellers’ responses to two financial and two non-financial incentives were measured, and factors increasing or limiting the response were identified. Our results suggest that all four incentives can be reasonably effective tools and the financial incentives seem to have a slightly stronger effect than the services and credit-for-gifts-based scenarios. Ordered logit models indicate that various factors influence people’s receptiveness of incentives for peak avoidance which relate to the ease of change or presence of alternatives and receptiveness to incentives. Both theoretical and policy implications are concluded that the proposed factors and incentive system can help solving the subway congestion in Beijing.
- Subjects :
- 050210 logistics & transportation
Strategy and Management
05 social sciences
0211 other engineering and technologies
021107 urban & regional planning
02 engineering and technology
Limiting
Management Science and Operations Research
Preference
Management Information Systems
Microeconomics
Empirical research
Incentive
Beijing
Financial incentives
Management of Technology and Innovation
0502 economics and business
Economics
Ordered logit
Business and International Management
Subjects
Details
- ISSN :
- 1469848X and 13675567
- Volume :
- 21
- Database :
- OpenAIRE
- Journal :
- International Journal of Logistics Research and Applications
- Accession number :
- edsair.doi...........7afdf29b106661e938653a69c148ee00