2018
DOI: 10.1007/978-3-319-77682-8_16
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A Spatial Multi-criteria Analysis Method for the Assessment of Walkability to Guide the Design of Interventions in Urban Crossings

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Cited by 2 publications
(3 citation statements)
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“…Among the three indicators of walkability, the density of the intersections has the highest explanatory power in leveraging up the walkability (coeff. = 2.355), perhaps because it can provide various shortcuts to destinations and enrich walking experiences [75]. The variable mixed land use also has a large magnitude explaining the lower BMI (coeff.…”
Section: Analytical Resultsmentioning
confidence: 99%
“…Among the three indicators of walkability, the density of the intersections has the highest explanatory power in leveraging up the walkability (coeff. = 2.355), perhaps because it can provide various shortcuts to destinations and enrich walking experiences [75]. The variable mixed land use also has a large magnitude explaining the lower BMI (coeff.…”
Section: Analytical Resultsmentioning
confidence: 99%
“… Guerreiro et al (2018) applied MCA, GIS and data mining techniques to plan and compare the investments in a cycling network. Canu et al (2018) proposed spatial MCA for the assessment of walkability of intersections and the prioritization of pedestrian-oriented policies. Kent and Karner (2018) explored the application of GIS-MCA to prioritize low-stress and pleasant bicycle routes.…”
Section: Applicationsmentioning
confidence: 99%
“…Usually, at a strategic level (such as in Grisé and El-geneidy, 2018 ; Milakis et al, 2012 ) network characteristics, mobility demand patterns, socio-economic features, proximity to destinations, characteristic of the landscape and built environment are observed. At a tactical-operational level (such as in Canu et al, 2018 ), more detailed criteria related to the specific context as well as technical aspects are included. Some studies have also explicitly included equity criteria in their own analysis (examples are Grisé and El-geneidy, 2018 ; Kent and Karner, 2018 ).…”
Section: Applicationsmentioning
confidence: 99%