Repository logo
 
Publication

Understanding the expectations of parents regarding their children's school commuting by public transport using latent Dirichlet Allocation

dc.contributor.authorQueiroz, Mariza Motta
dc.contributor.authorRoque, Carlos
dc.contributor.authorMoura, Filipe
dc.contributor.authorMaroco, J. P.
dc.date.accessioned2024-05-13T16:01:13Z
dc.date.available2024-05-13T16:01:13Z
dc.date.issued2024
dc.description.abstractParents’ perceptions regarding public transport and active modes influence the youth’s acceptance and support for sustainable school commuting. Urban mobility surveys can gather such insights by utilizing closed and open-ended questions. The latter, particularly, holds the potential for nuanced expectations and insights from Public Transport (PT) users, often absent in closedended responses. This paper proposes a methodology utilizing Latent Dirichlet Allocation (LDA) to extract valuable information from open-ended survey responses, shedding light on parents’ expectations regarding their children’s school commute via PT. Analyzing responses from two surveys involving 448 households, with a focus on parents in the Lisbon Metro Area, spanning the school years of 2017–2018 and 2018–2019, and pre-and post-field interventions, our study employs LDA to assess households’ criticisms and recommendations for improving public transport services. Our findings illustrate a shift from general criticisms in the initial survey to proactive suggestions in the subsequent one, aligning with marketing efforts to foster more sustainable school commuting with PT. Empirically, our study underscores LDA’s efficacy in capturing users’ feedback often neglected by closed-ended questions. Effective preprocessing of textual data facilitates streamlined field interventions. Overall, our contribution provides usercentered insights to inform PT policymakers, promoting the incorporation of user-driven enhancements.pt_PT
dc.description.sponsorshipFundação para a Ciência e Tecnologia - FCTpt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationMotta Queiroz, M., Roque, C., Moura, F., & Marôco, J. (2024). Understanding the expectations of parents regarding their children’s school commuting by public transport using latent Dirichlet Allocation. Transportation Research Part A, 181. https://doi.org/10.1016/j.tra.2024.103986pt_PT
dc.identifier.doi10.1016/j.tra.2024.103986pt_PT
dc.identifier.issn09658564
dc.identifier.urihttp://hdl.handle.net/10400.12/9776
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherElsevier Ltdpt_PT
dc.relationUIDB/04625/2020pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectSustainable school commutingpt_PT
dc.subjectOpen-ended survey responsespt_PT
dc.subjectText miningpt_PT
dc.subjectTopic modelingpt_PT
dc.subjectLatent dirichlet allocationpt_PT
dc.titleUnderstanding the expectations of parents regarding their children's school commuting by public transport using latent Dirichlet Allocationpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.conferencePlaceUnited Kingdompt_PT
oaire.citation.startPage103986pt_PT
oaire.citation.titleTransportation Research Part A: Policy and Practicept_PT
oaire.citation.volume181pt_PT
person.familyNamePedra Aguiar de Moura
person.familyNamePaulo Marôco Domingos
person.givenNameFilipe Alexandre
person.givenNameJoão
person.identifierD-4339-2015
person.identifier.ciencia-idFC11-EE7A-9E0A
person.identifier.ciencia-idD81B-BE2D-9B43
person.identifier.orcid0000-0003-0050-6805
person.identifier.orcid0000-0001-9214-5378
person.identifier.scopus-author-id6602157617
rcaap.rightsrestrictedAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublicationcbd59188-9a5a-4e04-94a7-0e14cc2e24d3
relation.isAuthorOfPublication14869d29-f5c4-4476-a172-ad161c7400e6
relation.isAuthorOfPublication.latestForDiscoverycbd59188-9a5a-4e04-94a7-0e14cc2e24d3

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
Transportation Research Part A Policy and Practice.pdf
Size:
2.39 MB
Format:
Adobe Portable Document Format
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.61 KB
Format:
Item-specific license agreed upon to submission
Description: