2018
DOI: 10.1016/j.jtrangeo.2018.02.001
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A new procedure using network analysis and kernel density estimations to evaluate the effect of urban configurations on pedestrian mobility. The case study of Vitoria –Gasteiz

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Cited by 32 publications
(15 citation statements)
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“…Walkingwhich in the past was viewed as part of a trip chain in a motorised modeis now considered a stand-alone mode (Litman, 2003). Numerous recent urban planning initiatives also revolve around active modes and seek to improve the quality and quantity of spaces dedicated to active mobility (Delso et al, 2017(Delso et al, , 2018, since the design of more pedestrian-friendly built environments can increase the convenience of walking (Blecic et al, 2017). The literature contains a large body of research on the environmental factors that influence walking (Ewing & Handy, 2009;Leslie et al, 2007;Saelens et al, 2003;Talavera-Garcia & Soria-Lara, 2015).…”
Section: Introductionmentioning
confidence: 99%
“…Walkingwhich in the past was viewed as part of a trip chain in a motorised modeis now considered a stand-alone mode (Litman, 2003). Numerous recent urban planning initiatives also revolve around active modes and seek to improve the quality and quantity of spaces dedicated to active mobility (Delso et al, 2017(Delso et al, , 2018, since the design of more pedestrian-friendly built environments can increase the convenience of walking (Blecic et al, 2017). The literature contains a large body of research on the environmental factors that influence walking (Ewing & Handy, 2009;Leslie et al, 2007;Saelens et al, 2003;Talavera-Garcia & Soria-Lara, 2015).…”
Section: Introductionmentioning
confidence: 99%
“…The built environment is especially relevant for active modes, as they are more (directly) " exposed to the surroundings compared to car and public transport users " [ 37 ]. Determinants that shape walking activity, in this case, are land-use diversity, intersection density [ 49 ], density [ 51 ], urban structure [ 52 ] and information [ 50 ]. Also, the type of area surveyed could influence the walking distance [ 53 ].…”
Section: Literature Reviewmentioning
confidence: 99%
“…Let NKDE(x) be the network kernel density estimation in a point x. Then we can obtain NKDE(x) as the sum of the different densities of the individual kernels for each point [68], as shown in Equation (1):…”
Section: Nkdementioning
confidence: 99%