1. Understanding peak avoidance commuting by subway: an empirical study in Beijing
- Author
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Huiyu Zhou, Yacan Wang, Xiangrui Sun, and Dick Ettema
- 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 - 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.
- Published
- 2018