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Research on Parking Space Choice Behavior Based on Logit Models
Previous studies have primarily focused on off-street parking lots, leveraging parking fees to reduce search time and enhance socioeconomic benefits. However, existing research overlooks the examination of parkers’ choice behavior within a single parking lot and fails to incorporate differential parking fees in analyzing the choices of individual parking spaces. To this end, this study introduces the multinomial logit and mixed logit models to explore the influence of variables on parkers’ choice of parking spaces. Moreover, the marginal willingness to pay is calculated for the four variables (i.e., parking fee, mechanical space, walking time, and search time) for work and recreation purposes to determine how much parkers are willing to spend for them. The results show that all four variables have a significant negative effect on parker’s choice, and mechanical parking space is core for parkers.
Research on Parking Space Choice Behavior Based on Logit Models
Previous studies have primarily focused on off-street parking lots, leveraging parking fees to reduce search time and enhance socioeconomic benefits. However, existing research overlooks the examination of parkers’ choice behavior within a single parking lot and fails to incorporate differential parking fees in analyzing the choices of individual parking spaces. To this end, this study introduces the multinomial logit and mixed logit models to explore the influence of variables on parkers’ choice of parking spaces. Moreover, the marginal willingness to pay is calculated for the four variables (i.e., parking fee, mechanical space, walking time, and search time) for work and recreation purposes to determine how much parkers are willing to spend for them. The results show that all four variables have a significant negative effect on parker’s choice, and mechanical parking space is core for parkers.
Research on Parking Space Choice Behavior Based on Logit Models
J. Urban Plann. Dev.
Yang, Yuwei (author) / Chen, Jun (author)
2024-12-01
Article (Journal)
Electronic Resource
English
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