eprintid: 10103792 rev_number: 16 eprint_status: archive userid: 608 dir: disk0/10/10/37/92 datestamp: 2020-07-06 10:57:02 lastmod: 2021-09-30 22:39:46 status_changed: 2020-07-06 10:57:02 type: article metadata_visibility: show creators_name: Cheng, Y creators_name: Ye, X creators_name: Fujiyama, T title: Identifying Crowding Impact on Departure Time Choice of Commuters in Urban Rail Transit ispublished: pub divisions: UCL divisions: B04 divisions: C05 divisions: F44 note: 'is is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited https://creativecommons.org/licenses/by/4.0/ abstract: Crowding in urban rail transit is an inevitable issue for most of the high-density cities across the world, especially during peak time. For commuters who have considerably fixed destination arrival times, departure time choice is an important tool to adjust their trips. 'e ignorance of crowding impact on commuters’ departure time choice in urban rail transit may cause errors in forecasting dynamic passenger flow during peak time in urban rail transit. 'e paper develops a mixed logit model to identify how crowding impacts the departure time choice of commuters and their taste variation. Arrival time value was firstly measured in a submodel by applying the reference point approach and then integrated to the main model. Considering the characteristics of human perception, we divided crowding into five grades with distinct circumstances. All parameter distributions were assumed based on their empirical distributions revealed through resampling. 'e data from Shanghai Metro used for estimation were collected by a specifically designed survey, which combines revealed preference questions and stated preference experiments to investigate the willingness and extent of changing departure time choice of passengers who experienced various grades and duration of crowding in the most crowded part. 'e result shows that an asymmetric valuation model with preferred arrival time as the only reference point best captured commuters’ responses to arrival time. 'e departure time choice model clearly identified that only crowding ranging from Grades 3 to 5 had an impact on commuters’ departure time choice. 'e parameters of crowding costs can be assumed to follow transformed lognormal distributions. It is found that the higher the grade of crowding is, the bigger the impact each unit of crowding cost has on commuters’ departure time choice, while commuters’ tastes get more concentrated when crowded situation upgrades. 'e model in this paper can help policymakers better understand the interaction between commuters’ departure time choice and crowding alleviation. date: 2020-06-23 date_type: published publisher: Hindawi Limited official_url: https://doi.org/10.1155/2020/8850565 oa_status: green full_text_type: pub language: eng primo: open primo_central: open_green verified: verified_manual elements_id: 1794796 doi: 10.1155/2020/8850565 lyricists_name: Cheng, Yan lyricists_name: Fujiyama, Taku lyricists_id: CYANX81 lyricists_id: TFUJI93 actors_name: Austen, Jennifer actors_id: JAUST66 actors_role: owner full_text_status: public publication: Journal of Advanced Transportation volume: 2020 article_number: 8850565 citation: Cheng, Y; Ye, X; Fujiyama, T; (2020) Identifying Crowding Impact on Departure Time Choice of Commuters in Urban Rail Transit. Journal of Advanced Transportation , 2020 , Article 8850565. 10.1155/2020/8850565 <https://doi.org/10.1155/2020%2F8850565>. Green open access document_url: https://discovery.ucl.ac.uk/id/eprint/10103792/1/8850565.pdf