Abstract

The positive effects of low-intensity physical activity are widely acknowledged and in this context walking is often promoted as an active form of transport. Under the concept of walkability the role of the built environment in encouraging walking is investigated. For that purpose, walkability is quantified area-wise by measuring a varying set of built environment attributes. In purely GIS-based approaches to studying walkability, indices are generally built using existing and easily accessible data. These include street network design, population density, land use mix, and access to destinations. Access to destinations is usually estimated using either a fixed radius, or distances in the street network. In this paper, two approaches to approximate a footpath network are presented. The two footpath networks were built making different assumptions regarding the walkability of different street types with respect to more or less restrictive safety preferences. Information on sidewalk presence, pedestrian crossings, and traffic restrictions were used to build both networks. The first network comprises car traffic free areas only. The second network includes streets with low speed limits that have no sidewalks. Both networks are compared to the more commonly used street network in an access-to-distance analysis. The results suggest that for the generally highly walkable study area, access to destination mostly depends on destination density within the defined walkable distance. However, on single street segments access to destinations is diminished when only car traffic free spaces are assumed to be walkable.

Highlights

  • Walking, as a basic form of physical activity and an active form of transport, combines the benefits of promoting health (US Department of Health and Human Services, 1996), facilitating social contact, and maintaining independence especially in old age (Hirvensalo, Rantanen and Heikkinen, 2000; Pahor, et al 2014)

  • Various measures of the built environment are combined in composite indices to estimate and compare walkability areas-wise (Weiss, Maantay and Fahs, 2010)

  • There is no agreement on a standardized set of measures to be included in those indices, since the evidence on the influence of the different built environment features on physical activity is not conclusive (Weiss, Maantay and Fahs, 2010)

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Summary

Walkability

Various measures of the built environment are combined in composite indices to estimate and compare walkability areas-wise (Weiss, Maantay and Fahs, 2010). GIS have been used variously in walkability studies, e.g. to investigate the correlation between objective measures of the built environment and perceived walkability as assessed from population surveys (Cho, Rodriguez and Khattak, 2009; Weiss, Maantay and Fahs, 2010), to assess and compare walkability of different cities or urban areas (Giles-Corti et al, 2014) and to explore the influence of built environment features on physical activity in older adults (King et al, 2010). In purely GIS-based approaches, walkability indices are generally calculated based on existing and accessible data (Weiss, Maantay, and Fahs, 2010).

Motivation
Footpath network 1
ANALYSIS LEVELS AND METHODS
Footpath network 2
Access-to-Destinations Analysis
Footpath networks
Access-to-Destination Analysis
ONGOING WORK AND OUTLOOK

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