Modelling Train Station Choice under Uncertainty for Park and Ride Users
This research develops a novel theoretical framework for modelling train station choice under uncertainty for park and ride users. Three uncertain factors, travel time to station, parking search time and crowding on trains, are modelled to estimate station choice probabilities, the risk attitudes of...
| Main Author: | |
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| Format: | Thesis |
| Published: |
Curtin University
2019
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| Online Access: | http://hdl.handle.net/20.500.11937/76066 |
| _version_ | 1848763596847185920 |
|---|---|
| author | Chen, Chunmei |
| author_facet | Chen, Chunmei |
| author_sort | Chen, Chunmei |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | This research develops a novel theoretical framework for modelling train station choice under uncertainty for park and ride users. Three uncertain factors, travel time to station, parking search time and crowding on trains, are modelled to estimate station choice probabilities, the risk attitudes of respondents and the preference heterogeneity of individuals. This study may support planning decisions on the location, price and capacity of P&R facilities, and provide evidence for evaluating P&R investment decisions. |
| first_indexed | 2025-11-14T11:05:59Z |
| format | Thesis |
| id | curtin-20.500.11937-76066 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T11:05:59Z |
| publishDate | 2019 |
| publisher | Curtin University |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-760662019-07-25T07:08:32Z Modelling Train Station Choice under Uncertainty for Park and Ride Users Chen, Chunmei This research develops a novel theoretical framework for modelling train station choice under uncertainty for park and ride users. Three uncertain factors, travel time to station, parking search time and crowding on trains, are modelled to estimate station choice probabilities, the risk attitudes of respondents and the preference heterogeneity of individuals. This study may support planning decisions on the location, price and capacity of P&R facilities, and provide evidence for evaluating P&R investment decisions. 2019 Thesis http://hdl.handle.net/20.500.11937/76066 Curtin University fulltext |
| spellingShingle | Chen, Chunmei Modelling Train Station Choice under Uncertainty for Park and Ride Users |
| title | Modelling Train Station Choice under Uncertainty for Park and Ride Users |
| title_full | Modelling Train Station Choice under Uncertainty for Park and Ride Users |
| title_fullStr | Modelling Train Station Choice under Uncertainty for Park and Ride Users |
| title_full_unstemmed | Modelling Train Station Choice under Uncertainty for Park and Ride Users |
| title_short | Modelling Train Station Choice under Uncertainty for Park and Ride Users |
| title_sort | modelling train station choice under uncertainty for park and ride users |
| url | http://hdl.handle.net/20.500.11937/76066 |