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A New Big Data Approach to Understanding General Traffic Impacts on Bus Passenger Delays
dc.contributor.author | Montero-Lamas, Yaiza | |
dc.contributor.author | Novales, Margarita | |
dc.contributor.author | Orro, Alfonso | |
dc.contributor.author | Currie, Graham | |
dc.date.accessioned | 2023-12-26T12:58:45Z | |
dc.date.available | 2023-12-26T12:58:45Z | |
dc.date.issued | 2023 | |
dc.identifier.citation | Yaiza Montero-Lamas, Margarita Novales, Alfonso Orro, Graham Currie, "A New Big Data Approach to Understanding General Traffic Impacts on Bus Passenger Delays", Journal of Advanced Transportation, vol. 2023, Article ID 4082587, 15 pages, 2023. https://doi.org/10.1155/2023/4082587 | es_ES |
dc.identifier.uri | http://hdl.handle.net/2183/34648 | |
dc.description.abstract | [Abstract:] This paper presents a new method to quantify the potential user time savings if the urban bus is given preferential treatment, changing from mixed traffic to an exclusive bus lane, using a big data approach. The main advantage of the proposal is the use of the high amount of information that is automatically collected by sensors and management systems in many different situations with a high degree of spatial and temporal detail. These data allow ready adjustment of calculations to the specific reality measured in each case. In this way, we propose a novel methodology of general application to estimate the potential passenger savings instead of using simulation or analytical methods already present in the literature. For that purpose, in the first place, a travel time prediction model per vehicle trip has been developed. It has been calibrated and validated with a historical series of observations in real-world situations. This model is based on multiple linear regression. The estimated bus delay is obtained by comparing the estimated bus travel time with the bus travel time under free-flow conditions. Finally, estimated bus passenger time savings would be obtained if an exclusive bus lane had been implemented. An estimation of the passenger’s route in each vehicle trip is considered to avoid average value simplifications in this calculation. A case study is conducted in A Coruña, Spain, to prove the methodology's applicability. The results showed that 18.7% of the analyzed bus trips underwent a delay exceeding 3 min in a 2,448 m long corridor, and more than 33,000 h per year could have been saved with an exclusive bus lane. Understanding the impact of different factors on transit and the benefits of a priority bus system on passengers can help city councils and transit agencies to know which investments to prioritize given their limited budget. | es_ES |
dc.description.sponsorship | The authors would like to thank Compañía de Tranvías de La Coruña and Concello da Coruña for providing the data required to prepare this paper. This work was funded by grants RTI2018-097924-B-I00, PID2021-128255OB-I00 and PRE2019-089651, funded by MCIN/AEI/10.13039/501100011033 and by ERDF/EU and ESF/EU. | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | Hindawi | es_ES |
dc.relation | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-097924-B-I00 | es_ES |
dc.relation | info:eu-repo/grantAgreement/AEI//PID2021-128255OB-I00 | es_ES |
dc.relation | info:eu-repo/grantAgreement/AEI//PRE2019-089651 | es_ES |
dc.relation.uri | https://doi.org/10.1155/2023/4082587 | es_ES |
dc.rights | Atribución 3.0 España | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/es/ | * |
dc.subject | Time savings | es_ES |
dc.subject | Exclusive bus lane | es_ES |
dc.subject | Simulation methods | es_ES |
dc.subject | Analytical methods | es_ES |
dc.subject | Travel time prediction model | es_ES |
dc.subject | Multiple linear regression | es_ES |
dc.subject | Estimated bus delay | es_ES |
dc.subject | Estimated bus travel time | es_ES |
dc.title | A New Big Data Approach to Understanding General Traffic Impacts on Bus Passenger Delays | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.rights.access | info:eu-repo/semantics/openAccess | es_ES |
UDC.journalTitle | Journal of Advanced Transportation | es_ES |
UDC.startPage | 4082587 | es_ES |
dc.identifier.doi | 10.1155/2023/4082587 |
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