{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T01:38:55Z","timestamp":1760060335179,"version":"build-2065373602"},"reference-count":31,"publisher":"MDPI AG","issue":"8","license":[{"start":{"date-parts":[[2025,8,21]],"date-time":"2025-08-21T00:00:00Z","timestamp":1755734400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"High-level Talents Startup project of Guangzhou Railway Polytechnic","award":["3007241008"],"award-info":[{"award-number":["3007241008"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Algorithms"],"abstract":"<jats:p>Conventional commuting mode split models are characterized by inherent limitations in dynamic adaptability, primarily due to persistent dependence on periodic survey data with significant temporal gaps. A dominant transportation distance-based modeling framework for commuting mode choice is proposed, formalizing a generalized cost function. Through the application of random utility theory, probability density curves are generated to quantify mode-specific dominant distance ranges across three demographic groups: car-owning households, non-car households, and collective households. Empirical validation was conducted using Dongguan as a case study, with model parameters calibrated against 2015 resident travel survey data. Parameter updates are dynamically executed through the integration of big data sources (e.g., mobile signaling and LBS). Successful implementation has been achieved in maintaining Dongguan\u2019s transportation models during the 2021 and 2023 iterations.<\/jats:p>","DOI":"10.3390\/a18080534","type":"journal-article","created":{"date-parts":[[2025,8,21]],"date-time":"2025-08-21T15:19:02Z","timestamp":1755789542000},"page":"534","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Research on Commuting Mode Split Model Based on Dominant Transportation Distance"],"prefix":"10.3390","volume":"18","author":[{"given":"Jinhui","family":"Tan","sequence":"first","affiliation":[{"name":"Guangzhou Railway Polytechnic, Guangdong-Hong Kong-Macao Greater Bay Area Rail Transit Industry Technology Research Institute, Guangzhou 511300, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1703-3362","authenticated-orcid":false,"given":"Shuai","family":"Teng","sequence":"additional","affiliation":[{"name":"School of Intelligent Construction and Civil Engineering, Zhongyuan University of Technology, Zhengzhou 450007, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7331-7987","authenticated-orcid":false,"given":"Zongchao","family":"Liu","sequence":"additional","affiliation":[{"name":"Guangzhou Railway Polytechnic, Guangdong-Hong Kong-Macao Greater Bay Area Rail Transit Industry Technology Research Institute, Guangzhou 511300, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wei","family":"Mao","sequence":"additional","affiliation":[{"name":"Dongguan Geographic Information and Planning Research Centre, Dongguan 523808, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Minghui","family":"Chen","sequence":"additional","affiliation":[{"name":"Dongguan Geographic Information and Planning Research Centre, Dongguan 523808, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2025,8,21]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Liu, L., Wang, W., Fan, Q., and Hua, X. (2021, January 17\u201320). Calculation and application of travel mode split rate based on dominant transportation distance in small and medium-sized cities. Proceedings of the CICTP, Xi\u2019an, China.","DOI":"10.1061\/9780784483565.207"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"104145","DOI":"10.1016\/j.jtrangeo.2025.104145","article-title":"Gender differences in commuting travel mode choices among young adults: A spatial heterogeneity perspective","volume":"123","author":"Liu","year":"2025","journal-title":"J. Transp. Geogr."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"91","DOI":"10.54324\/j.mtl.v8i1.507","article-title":"Understanding commuter\u2019s motivation of transportation choice: A case study of greater Jakarta","volume":"8","author":"Pradonoputro","year":"2021","journal-title":"J. Manaj. Transp. Logist."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"751","DOI":"10.1007\/s11116-016-9749-8","article-title":"Analysis of travel time and mode choice shift for non-work stops in commuting: Case study of Beijing, China","volume":"45","author":"Mao","year":"2018","journal-title":"Transportation"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"1861","DOI":"10.1007\/s11116-021-10230-3","article-title":"Incorporating psychological needs in commute mode choice modelling: A hybrid choice framework","volume":"49","author":"Ingvardson","year":"2022","journal-title":"Transportation"},{"key":"ref_6","first-page":"100078","article-title":"Ranking factors affecting public transport mode choice of commuters in an urban city of a developing country using analytic hierarchy process: The case of Metro Cebu, Philippines-ScienceDirect","volume":"4","author":"Mayo","year":"2020","journal-title":"Transp. Res. Interdiscip. Perspect."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"104","DOI":"10.1016\/j.tra.2018.08.041","article-title":"Synergistic effects of the built environment and commuting programs on commute mode choice","volume":"118","author":"Ding","year":"2018","journal-title":"Transp. Res. Part A Policy Pract."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"104180","DOI":"10.1016\/j.cities.2022.104180","article-title":"How is commute mode choice related to built environment in a high-density urban context?","volume":"134","author":"Zhu","year":"2023","journal-title":"Cities"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"101129","DOI":"10.1016\/j.cstp.2023.101129","article-title":"Examining commute mode choice of essential workers before and during the COVID-19 pandemic-A case study of the University of Washington","volume":"15","author":"Cai","year":"2024","journal-title":"Case Stud. Transp. Policy"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"315","DOI":"10.1016\/j.tranpol.2008.12.011","article-title":"Suburbanization and transit-oriented development in China","volume":"15","author":"Cervero","year":"2008","journal-title":"Transp. Policy"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1016\/j.tbs.2022.02.004","article-title":"Does commute duration attenuate the effect of travel mode choice on commute satisfaction?","volume":"28","author":"Vos","year":"2022","journal-title":"Travel Behav. Soc."},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Ortuzar, J.D.D., and Willumsen, L.G. (2011). Modelling Transport, Wiley. [4th ed.].","DOI":"10.1002\/9781119993308"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"75","DOI":"10.1016\/j.jtrangeo.2009.01.001","article-title":"Interrelations between travel mode choice and trip distance: Trends in Germany 1976\u20132002","volume":"18","author":"Scheiner","year":"2010","journal-title":"J. Transp. Geogr."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"447","DOI":"10.1002\/1099-1255(200009\/10)15:5<447::AID-JAE570>3.0.CO;2-1","article-title":"Mixed MNL models for discrete response","volume":"15","author":"McFadden","year":"2000","journal-title":"J. Appl. Econom."},{"key":"ref_15","unstructured":"Mcfadden, D. (1974). Conditional Logit Analysis of Qualitative Choice Behavior. Frontiers in Econometrics, North-Holland Publishing Company."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"331","DOI":"10.1016\/0191-2615(80)90013-2","article-title":"The accuracy of the multinomial logit model as an approximation to the multinomial probit model of travel demand","volume":"14","author":"Horowitz","year":"1980","journal-title":"Transp. Res. Part B Methodol."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"123","DOI":"10.1016\/S0165-1765(03)00032-6","article-title":"Interaction terms in logit and probit models","volume":"80","author":"Ai","year":"2003","journal-title":"Econ. Lett."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1016\/0191-2615(79)90028-6","article-title":"The dogit model","volume":"13","author":"Gaundry","year":"1979","journal-title":"Transp. Res. Part B Methodol."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"291363","DOI":"10.1155\/2015\/291363","article-title":"Analysis of urban car owners commute mode choice based on evolutionary game model","volume":"2015","author":"Gong","year":"2015","journal-title":"J. Control Sci. Eng."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"103070","DOI":"10.1016\/j.jtrangeo.2021.103070","article-title":"Analysis of travel mode choice and trip chain pattern relationships based on multi-day GPS data: A case study in Shanghai, China","volume":"93","author":"Huang","year":"2021","journal-title":"J. Transp. Geogr."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1016\/j.jtrangeo.2018.04.013","article-title":"Spatial variations in urban public ridership derived from GPS trajectories and smart card data","volume":"69","author":"Tu","year":"2018","journal-title":"J. Transp. Geogr."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"4919","DOI":"10.1109\/TITS.2020.2984033","article-title":"Fuzzy inference enabled deep reinforcement learning-based traffic light control for intelligent transportation system","volume":"22","author":"Kumar","year":"2021","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"913","DOI":"10.1016\/j.tra.2006.03.006","article-title":"Capturing tour mode and activity choice interdependencies: A co-evolutionary logit modelling approach","volume":"41","author":"Krygsman","year":"2007","journal-title":"Transp. Res. Part A Policy Pract."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"342","DOI":"10.1016\/j.jtrangeo.2007.12.004","article-title":"Travel-to-school mode choice modelling and patterns of school choice in urban areas","volume":"16","author":"Tscharaktschiew","year":"2008","journal-title":"J. Transp. Geogr."},{"key":"ref_25","first-page":"325","article-title":"Some theoretical aspects of road traffic research","volume":"1","author":"Wardrop","year":"1952","journal-title":"Proc. Inst. Civ. Eng. Part II"},{"key":"ref_26","unstructured":"Shenzhen Urban Transport Planning Center Co., Ltd., Dongguan Geographic Information and Planning Research Center (2016). Dongguan Comprehensive Transportation Survey Data Analysis Report, Shenzhen Urban Transport Planning Center Co., Ltd., Geographic Information and Planning Research Center. (In Chinese)."},{"key":"ref_27","unstructured":"Department for Transport (2025, August 12). Transport Analysis Guidance, Available online: https:\/\/www.gov.uk\/guidance\/transport-analysis-guidance-tag."},{"key":"ref_28","unstructured":"Dongguan Geographic Information and Planning Research Center (2017). Maintenance and Update of Dongguan Transportation Model Report, Dongguan Geographic Information and Planning Research Center. (In Chinese)."},{"key":"ref_29","unstructured":"Dongguan Geographic Information and Planning Research Center (2019). Maintenance and Update of Dongguan Transportation Model Report, Dongguan Geographic Information and Planning Research Center. (In Chinese)."},{"key":"ref_30","unstructured":"Dongguan Geographic Information and Planning Research Center (2021). Maintenance and Update of Dongguan Transportation Model Report, Dongguan Geographic Information and Planning Research Center. (In Chinese)."},{"key":"ref_31","unstructured":"Dongguan Geographic Information and Planning Research Center (2023). Maintenance and Update of Dongguan Transportation Model Report, Dongguan Geographic Information and Planning Research Center. (In Chinese)."}],"container-title":["Algorithms"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1999-4893\/18\/8\/534\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,9]],"date-time":"2025-10-09T18:33:06Z","timestamp":1760034786000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1999-4893\/18\/8\/534"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,8,21]]},"references-count":31,"journal-issue":{"issue":"8","published-online":{"date-parts":[[2025,8]]}},"alternative-id":["a18080534"],"URL":"https:\/\/doi.org\/10.3390\/a18080534","relation":{},"ISSN":["1999-4893"],"issn-type":[{"type":"electronic","value":"1999-4893"}],"subject":[],"published":{"date-parts":[[2025,8,21]]}}}