Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/46085

TitleData-mining, gis and multicriteria analysis in a comprehensive method for bicycle network planning and design
Author(s)Guerreiro, Thais de Cássia Martinelli
Providelo, Janice Kirner
Pitombo, Cira Souza
Ramos, Rui A. R.
Silva, A. N. R.
KeywordsBicycle network planning
Cycling infrastructure
Data-mining
GIS
Multi-criteria analysis
Potential cyclists
Issue date2018
PublisherTaylor & Francis
JournalInternational Journal of Sustainable Transportation
CitationGuerreiro T. C. Á. M., Providelo J. K., Pitombo C. S., Ramos R. A. R., Silva A. N. R. Data-mining, gis and multicriteria analysis in a comprehensive method for bicycle network planning and design, International Journal of Sustainable Transportation, Vol. 11, pp. 1-45, doi:10.1080/15568318.2017.1342156, 2018.
Abstract(s)In many Brazilian cities, the most common procedure for planning cycling networks is using aggregated population data in census tracts, which may not take into account the true origin and destination of trips. It may also not identify potential users of a particular mode of transport. This is particularly important considering that implementing cycling infrastructures should be based on the assumption that they are able to meet the users' needs. Therefore, the aim of this study is to develop and adopt an objective method to design and compare cycling networks based on data-mining of disaggregated origin-destination data, GIS resources and multicriteria analysis techniques. The method follows three steps: a) identifying potential users based on real user profiles, b) designing proposed cycling networks and c) a comparison between the etworks proposed in this study and those developed by the municipality selected as a case study,  considering real and potential users, as well as cost and benefit criteria. As a positive outcome, using disaggregated data allows for a reasonable estimate of the number of people served by the networks, a detailed analysis of their proximity to the infrastructure, as well as identifying potential users. Comparing cycling networks considering cost and benefit criteria shows that the chosen criteria were effective. It was also determined that the cycling network of the studied city poorly serves bicycle transport users, if compared to the proposed networks. These findings indicate that appropriate methods for planning cycling networks are still needed.
TypeArticle
URIhttp://hdl.handle.net/1822/46085
DOI10.1080/15568318.2017.1342156
ISSN1556-8318
e-ISSN1556-8334
Publisher versionhttp://www.tandfonline.com/loi/ujst20
Peer-Reviewedyes
AccessRestricted access (UMinho)
Appears in Collections:C-TAC - Artigos em Revistas Internacionais

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