A GIS-based methodology for identifying pedestrians' crossing patterns

Lassarre, S; Bonnet, E; Bodin, F; Papadimitriou, E; Yannis, G; Golias, J

dc.contributor.author	Lassarre, S	en
dc.contributor.author	Bonnet, E	en
dc.contributor.author	Bodin, F	en
dc.contributor.author	Papadimitriou, E	en
dc.contributor.author	Yannis, G	en
dc.contributor.author	Golias, J	en
dc.date.accessioned	2014-03-01T02:07:19Z
dc.date.available	2014-03-01T02:07:19Z
dc.date.issued	2012	en
dc.identifier.issn	01989715	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/29537
dc.subject	Data integration	en
dc.subject	Geographic information	en
dc.subject	Pedestrian behavior	en
dc.subject	Pedestrian trips	en
dc.subject.other	Complex task	en
dc.subject.other	Crossing pattern	en
dc.subject.other	Data integration	en
dc.subject.other	Field surveys	en
dc.subject.other	Geographic information	en
dc.subject.other	Geographical information	en
dc.subject.other	Management implications	en
dc.subject.other	Network level	en
dc.subject.other	Pedestrian behavior	en
dc.subject.other	Pedestrian trips	en
dc.subject.other	Road network	en
dc.subject.other	Spatiotemporal process	en
dc.subject.other	Urban areas	en
dc.subject.other	Urban networks	en
dc.subject.other	Urban trip	en
dc.subject.other	Crosswalks	en
dc.subject.other	Data handling	en
dc.subject.other	Footbridges	en
dc.subject.other	Traffic control	en
dc.subject.other	Urban planning	en
dc.subject.other	Geographic information systems	en
dc.subject.other	field survey	en
dc.subject.other	GIS	en
dc.subject.other	pedestrian	en
dc.subject.other	spatiotemporal analysis	en
dc.subject.other	urban area	en
dc.subject.other	urban planning	en
dc.title	A GIS-based methodology for identifying pedestrians' crossing patterns	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/j.compenvurbsys.2011.12.005	en
heal.identifier.secondary	http://dx.doi.org/10.1016/j.compenvurbsys.2011.12.005	en
heal.publicationDate	2012	en
heal.abstract	A pedestrian trip is a spatiotemporal process going through different states and related to different decisions made at certain times and locations on the urban network. The analysis of pedestrian trips in terms of crossing patterns is a complex task, which is often further limited by a lack of appropriate and detailed data. The objective of this research is the development and testing of appropriate indicators of pedestrian crossing behavior along urban trips, and a methodology for collecting and processing the data required for the analysis of this behavior. First, a comprehensive set of indicators for the assessment of pedestrian behavior in urban areas is proposed (i.e. average trip length, number, type and location of crossings). Then, a GIS tool is developed for the storage and integration of information on pedestrian trips, and the crossings made during the trips, with other geographical information (e.g. road network function and geometry, traffic control and pedestrian facilities). The proposed approach is then tested at network level on a sample of pedestrian trips collected by a field survey. The results suggest specific patterns of pedestrian crossing behavior, such as the tendency to cross at the beginning of the trip and the tendency to cross at mid-block locations when signalized junctions are not available. The results are further discussed in terms of urban planning and management implications. It is concluded that the proposed approach is very efficient for the analysis of pedestrian crossing behavior in urban areas. © 2012 Elsevier Ltd.	en
heal.journalName	Computers, Environment and Urban Systems	en
dc.identifier.doi	10.1016/j.compenvurbsys.2011.12.005	en
dc.identifier.volume	36	en
dc.identifier.issue	4	en
dc.identifier.spage	321	en
dc.identifier.epage	330	en