{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,23]],"date-time":"2026-04-23T01:08:01Z","timestamp":1776906481554,"version":"3.51.2"},"reference-count":36,"publisher":"MDPI AG","issue":"12","license":[{"start":{"date-parts":[[2024,12,16]],"date-time":"2024-12-16T00:00:00Z","timestamp":1734307200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Key Research and Development Program of China","award":["2021YFB1600100"],"award-info":[{"award-number":["2021YFB1600100"]}]},{"name":"National Key Research and Development Program of China","award":["MTF2023001"],"award-info":[{"award-number":["MTF2023001"]}]},{"name":"Key Laboratory of Transport Industry of Comprehensive Transportation Theory","award":["2021YFB1600100"],"award-info":[{"award-number":["2021YFB1600100"]}]},{"name":"Key Laboratory of Transport Industry of Comprehensive Transportation Theory","award":["MTF2023001"],"award-info":[{"award-number":["MTF2023001"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Systems"],"abstract":"<jats:p>The pre-departure reserved time (PDRV) for high-speed railway (HSR) passengers, which encompasses all the time between passengers leaving their origin and the departure of the HSR train they are going to take, is a crucial factor in planning intercity travel. Understanding how passengers select their PDRV is not only important for developing effective strategies to improve HSR efficiency but also for optimizing the integration between HSR hubs and urban transportation networks. However, analyzing passenger choice behavior regarding PDRV is complex due to numerous influencing factors. Despite this, few studies have explored how HSR passengers make their PDRV choices. This paper, using Nanjingnan Railway Station as a case study, presents a novel investigation into the PDRV choice behavior of HSR passengers. An integrated latent class model (LCM) and ordered probit model (OPM) are applied to identify the factors affecting passengers\u2019 PDRV choices. The sample data are segmented based on individual characteristics using the LCM, and OPM models are then constructed for each segment to analyze PDRV choice behavior. The results reveal that several factors\u2014such as travel purpose, the number of times passengers used HSR at Nanjingnan Station in the previous year, the duration of HSR travel, the number of companions, feeder trip duration, and departure time\u2014significantly impact PDRV choices. The integrated LCM and OPM approach also uncovers choice heterogeneity among different passenger groups. These insights can serve as a valuable reference for forecasting HSR passenger demand and for designing integrated HSR hubs and urban transport systems.<\/jats:p>","DOI":"10.3390\/systems12120565","type":"journal-article","created":{"date-parts":[[2024,12,16]],"date-time":"2024-12-16T10:08:53Z","timestamp":1734343733000},"page":"565","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Modeling Passengers\u2019 Reserved Time Before High-Speed Rail Departure"],"prefix":"10.3390","volume":"12","author":[{"given":"Zhenyu","family":"Zhang","sequence":"first","affiliation":[{"name":"School of Transportation, Southeast University, Nanjing 211189, China"},{"name":"Key Laboratory of Transport Industry of Comprehensive Transportation Theory (Nanjing Modern Multi-Modal Transportation Laboratory), Ministry of Transport, Nanjing 211189, China"},{"name":"Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Nanjing 211189, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jian","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Transportation, Southeast University, Nanjing 211189, China"},{"name":"Key Laboratory of Transport Industry of Comprehensive Transportation Theory (Nanjing Modern Multi-Modal Transportation Laboratory), Ministry of Transport, Nanjing 211189, China"},{"name":"Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Nanjing 211189, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2024,12,16]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"283","DOI":"10.1007\/BF00148464","article-title":"An Analysis of The Commuter Departure Time Decision","volume":"10","author":"Abkowitz","year":"1981","journal-title":"Transportation"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"321","DOI":"10.1016\/0191-2607(90)90045-8","article-title":"Influences on Commuter Trip Departure Time Decisions in Singapore","volume":"24","author":"Chin","year":"1990","journal-title":"Transp. 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