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Factors of perceived walkability: A pilot empirical study

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Date
2016
Notes
Lecture Notes in Computer Science, n°9789
Dewey
Recherche opérationnelle; Communautés
Sujet
Perceived Walkability Survey; Walkability; Regression analysis; Walkability perception; Urban design; Walkability audit
DOI
http://dx.doi.org/10.1007/978-3-319-42089-9_9
Conference name
Computational Science and Its Applications - ICCSA 2016 (16th International Conference)
Conference date
07-2016
Conference city
Beijing
Conference country
China
Book title
Computational Science and Its Applications -- ICCSA 2016 16th International Conference, Proceedings, Part IV
Author
Gervasi, Osvaldo; Murgante, Beniamino; Misra, Sanjay; Rocha, Ana Maria A.C.; Torre, Carmelo M.; Taniar, David; Apduhan, Bernady O.; Stankova, Elena; Wang, Shangguang
Publisher
Springer
Publisher city
Berlin Heidelberg
Year
07-2016
Pages number
702
ISBN
978-3-319-42088-2
Book URL
10.1007/978-3-319-42089-9
URI
https://basepub.dauphine.fr/handle/123456789/16280
Collections
  • LAMSADE : Publications
Metadata
Show full item record
Author
Blečić, Ivan
46983 University of Cagliari
Canu, Dario
status unknown
Cecchini, Arnaldo
status unknown
Congiu, Tanja
status unknown
Fancello, Giovanna
989 Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Type
Communication / Conférence
Item number of pages
125-137
Abstract (EN)
We present preliminary results of a pilot empirical study designed to examine factors associated with pedestrians’ perception of walkability, i.e. the perception of the quality, comfort and pleasantness of streets, and their conductivity to walk. Through a contingent field survey we collected 18 observable street attributes (independent variables), and a synthetic subjective perception of walkability (dependent variable), for the entire street network (408 street segments) of the city of Alghero in Italy. Regression analysis yields high goodness of fit (R-squared = 0.60 using all 18 variables), and points at 9 out of 18 as the most significant factors of perceived walkability (“useful sidewalk width”; “architectural, urban and environmental attractions”; “density of shops, bars, services, economic activities”; “vehicles-pedestrians separation”; “cyclability”; “opportunities to sit”; “shelters and shades”; “car roadway width”; “street lighting”; R-squared = 0.59). Among those, the first five factors in particular show as jointly most important as predictors of perceived walkability.

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