Estimating Destination of Bus Trips Considering Trip Type Characteristics

Recently, local governments have been using transportation card data to monitor the use of public transport and improve the service. However, local governments that are applying a single-fare scheme are experiencing difficulties in using data for accurate identification of real travel patterns or po...

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Autores principales:	Soongbong Lee, Jongwoo Lee, Bumjoon Bae, Daisik Nam, Seunghoon Cheon
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	public transit transaction data estimation of destination categorization of trip types trip chain travel pattern historical travel data Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
Acceso en línea:	https://doaj.org/article/a36b09c8568d409d87326073d0b9faa8
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spelling	oai:doaj.org-article:a36b09c8568d409d87326073d0b9faa82021-11-11T15:24:05ZEstimating Destination of Bus Trips Considering Trip Type Characteristics10.3390/app1121104152076-3417https://doaj.org/article/a36b09c8568d409d87326073d0b9faa82021-11-01T00:00:00Zhttps://www.mdpi.com/2076-3417/11/21/10415https://doaj.org/toc/2076-3417Recently, local governments have been using transportation card data to monitor the use of public transport and improve the service. However, local governments that are applying a single-fare scheme are experiencing difficulties in using data for accurate identification of real travel patterns or policy decision support due to missing information on alighting stops of users. This policy limits its functionality of utilizing data such as accurate identification of real travel patterns, policy decision support, etc. In order to overcome these limitations, various methods for estimating alighting stops have been developed. This study classifies trips with missing alighting stop information into trip four types and then applies appropriate alighting stop estimation methodology for each trip type in stages. The proposed method is evaluated by utilizing transportation card data of the Seoul metropolitan area and checking the accuracy for each standard of allowable error for sensitivity analysis. The analysis shows that the stage-by-stage estimation methodology based on the trip type proposed in this study can estimate users’ destinations more accurately than the methodologies of previous studies. Furthermore, based on the construction of nearly 100% valid tag data, this study differs from prior studies.Soongbong LeeJongwoo LeeBumjoon BaeDaisik NamSeunghoon CheonMDPI AGarticlepublic transit transaction dataestimation of destinationcategorization of trip typestrip chaintravel patternhistorical travel dataTechnologyTEngineering (General). Civil engineering (General)TA1-2040Biology (General)QH301-705.5PhysicsQC1-999ChemistryQD1-999ENApplied Sciences, Vol 11, Iss 10415, p 10415 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	public transit transaction data estimation of destination categorization of trip types trip chain travel pattern historical travel data Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
spellingShingle	public transit transaction data estimation of destination categorization of trip types trip chain travel pattern historical travel data Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999 Soongbong Lee Jongwoo Lee Bumjoon Bae Daisik Nam Seunghoon Cheon Estimating Destination of Bus Trips Considering Trip Type Characteristics
description	Recently, local governments have been using transportation card data to monitor the use of public transport and improve the service. However, local governments that are applying a single-fare scheme are experiencing difficulties in using data for accurate identification of real travel patterns or policy decision support due to missing information on alighting stops of users. This policy limits its functionality of utilizing data such as accurate identification of real travel patterns, policy decision support, etc. In order to overcome these limitations, various methods for estimating alighting stops have been developed. This study classifies trips with missing alighting stop information into trip four types and then applies appropriate alighting stop estimation methodology for each trip type in stages. The proposed method is evaluated by utilizing transportation card data of the Seoul metropolitan area and checking the accuracy for each standard of allowable error for sensitivity analysis. The analysis shows that the stage-by-stage estimation methodology based on the trip type proposed in this study can estimate users’ destinations more accurately than the methodologies of previous studies. Furthermore, based on the construction of nearly 100% valid tag data, this study differs from prior studies.
format	article
author	Soongbong Lee Jongwoo Lee Bumjoon Bae Daisik Nam Seunghoon Cheon
author_facet	Soongbong Lee Jongwoo Lee Bumjoon Bae Daisik Nam Seunghoon Cheon
author_sort	Soongbong Lee
title	Estimating Destination of Bus Trips Considering Trip Type Characteristics
title_short	Estimating Destination of Bus Trips Considering Trip Type Characteristics
title_full	Estimating Destination of Bus Trips Considering Trip Type Characteristics
title_fullStr	Estimating Destination of Bus Trips Considering Trip Type Characteristics
title_full_unstemmed	Estimating Destination of Bus Trips Considering Trip Type Characteristics
title_sort	estimating destination of bus trips considering trip type characteristics
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/a36b09c8568d409d87326073d0b9faa8
work_keys_str_mv	AT soongbonglee estimatingdestinationofbustripsconsideringtriptypecharacteristics AT jongwoolee estimatingdestinationofbustripsconsideringtriptypecharacteristics AT bumjoonbae estimatingdestinationofbustripsconsideringtriptypecharacteristics AT daisiknam estimatingdestinationofbustripsconsideringtriptypecharacteristics AT seunghooncheon estimatingdestinationofbustripsconsideringtriptypecharacteristics
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Estimating Destination of Bus Trips Considering Trip Type Characteristics

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