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Modeling the Effect of New Commuter Bus Service on Demand and the Impact on GHG Emissions: Application to Greater Boston

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dc.contributor.advisorEric Gonzales
dc.contributor.advisorEleni Christofa
dc.contributor.advisorSong Gao
dc.contributor.authorLyman, Christopher
dc.contributor.departmentUniversity of Massachusetts Amherst
dc.contributor.departmentCivil Engineering
dc.date2023-09-23T23:09:10.000
dc.date.accessioned2024-04-26T18:26:50Z
dc.date.available2024-04-26T18:26:50Z
dc.date.submittedMay
dc.date.submitted2019
dc.description.abstractThe transportation sector is considered one of the major contributors to greenhouse gas (GHG) emissions in metropolitan areas, and any efforts to reduce these emissions requires strategic management of multiple transportation modes. This paper presents a method to identify opportunities to reduce GHG emissions by expanding commuter bus services and incentives to shift commuters from private cars to transit. The approach uses a nested multinomial logit model for mode choice in a region that includes driving alone, carpooling, walking, cycling, and using four possible transit modes (ferry, commuter rail, rapid transit and bus) by walk access or driving access. A model of existing conditions was calibrated with data from the Boston metropolitan area. Using an emission factor model based on average speeds from the California Air Resources Board (CARB), the net effect of new commuter bus service on GHG emissions from transportation was estimated. Potential GHG reductions are weighed against the capital and operating costs of new transit services to quantify the cost-effectiveness of a new commuter bus service for isolated origin-destination pairs. This modeling framework is used to optimize fares and bus frequency in order to identify the corridors with the most cost-effective potential for GHG reduction. Results are presented for the Boston region, demonstrating the feasibility of implementation and the potential magnitude of benefits for cost-effectively reducing GHG emissions associated with transportation. The method is general and can be applied in other cities around the world.
dc.description.degreeMaster of Science in Civil Engineering (M.S.C.E.)
dc.identifier.doihttps://doi.org/10.7275/14187809
dc.identifier.orcidhttps://orcid.org/0000-0003-4891-9035
dc.identifier.urihttps://hdl.handle.net/20.500.14394/33834
dc.relation.urlhttps://scholarworks.umass.edu/cgi/viewcontent.cgi?article=1810&context=masters_theses_2&unstamped=1
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.source.statuspublished
dc.subjectNested Multinomial Logit Model
dc.subjectCommuter Bus
dc.subjectEmissions Factors
dc.subjectPublic Transit
dc.subjectMode Shift
dc.subjectIncentives
dc.subjectTransportation Engineering
dc.titleModeling the Effect of New Commuter Bus Service on Demand and the Impact on GHG Emissions: Application to Greater Boston
dc.typeopenaccess
dc.typearticle
dc.typethesis
digcom.contributor.authorisAuthorOfPublication|email:chrislyman12@gmail.com|institution:University of Massachusetts Amherst|Lyman, Christopher
digcom.identifiermasters_theses_2/782
digcom.identifier.contextkey14187809
digcom.identifier.submissionpathmasters_theses_2/782
dspace.entity.typePublication
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