An open dataset on individual perceptions of transport policies.
Journal
Scientific data
ISSN: 2052-4463
Titre abrégé: Sci Data
Pays: England
ID NLM: 101640192
Informations de publication
Date de publication:
22 Jan 2024
22 Jan 2024
Historique:
received:
12
06
2023
accepted:
11
01
2024
medline:
23
1
2024
pubmed:
23
1
2024
entrez:
22
1
2024
Statut:
epublish
Résumé
Many cities are facing challenges caused by the increasing use of motorised transport and Hanoi, Vietnam, is no exception. The proliferation of petrol powered motorbikes has caused serious problems of congestion, pollution, and road safety. This paper reports on a new survey dataset that was created as part of the Urban Transport Modelling for Sustainable Well-Being in Hanoi (UTM-Hanoi) project. The survey of nearly 30,000 respondents gathers data on households' demographics, perceptions, opinions and stated behaviours. The data are informative in their own right and have also been used to experiment with multi-scale spatial statistics, synthetic population generation and machine learning approaches to predicting an individual's perceptions of potential government policies. The paper reports on the key findings from the survey and conducts a technical validation to contrast the outcomes to similar datasets that are available.
Identifiants
pubmed: 38253535
doi: 10.1038/s41597-024-02950-9
pii: 10.1038/s41597-024-02950-9
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
104Subventions
Organisme : British Academy
ID : UWB190190
Organisme : British Academy
ID : UWB190190
Organisme : British Academy
ID : UWB190190
Organisme : British Academy
ID : UWB190190
Organisme : British Academy
ID : UWB190190
Informations de copyright
© 2024. The Author(s).
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