WALKABILITY FOR DIFFERENT URBAN GRANULARITIES
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...
Main Authors: | , |
---|---|
Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2016-06-01
|
Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
Online Access: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B2/703/2016/isprs-archives-XLI-B2-703-2016.pdf |
id |
doaj-770bd4f06f374b74b757af9581f5ae04 |
---|---|
record_format |
Article |
spelling |
doaj-770bd4f06f374b74b757af9581f5ae042020-11-25T00:39:56ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342016-06-01XLI-B270370810.5194/isprs-archives-XLI-B2-703-2016WALKABILITY FOR DIFFERENT URBAN GRANULARITIESD. Hollenstein0S. Bleisch1FHNW University of Applied Sciences and Arts Northwestern Switzerland, Institute of Geomatics EngineeringFHNW University of Applied Sciences and Arts Northwestern Switzerland, Institute of Geomatics EngineeringThe 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.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B2/703/2016/isprs-archives-XLI-B2-703-2016.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
D. Hollenstein S. Bleisch |
spellingShingle |
D. Hollenstein S. Bleisch WALKABILITY FOR DIFFERENT URBAN GRANULARITIES The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
author_facet |
D. Hollenstein S. Bleisch |
author_sort |
D. Hollenstein |
title |
WALKABILITY FOR DIFFERENT URBAN GRANULARITIES |
title_short |
WALKABILITY FOR DIFFERENT URBAN GRANULARITIES |
title_full |
WALKABILITY FOR DIFFERENT URBAN GRANULARITIES |
title_fullStr |
WALKABILITY FOR DIFFERENT URBAN GRANULARITIES |
title_full_unstemmed |
WALKABILITY FOR DIFFERENT URBAN GRANULARITIES |
title_sort |
walkability for different urban granularities |
publisher |
Copernicus Publications |
series |
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
issn |
1682-1750 2194-9034 |
publishDate |
2016-06-01 |
description |
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. |
url |
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B2/703/2016/isprs-archives-XLI-B2-703-2016.pdf |
work_keys_str_mv |
AT dhollenstein walkabilityfordifferenturbangranularities AT sbleisch walkabilityfordifferenturbangranularities |
_version_ |
1725292419428122624 |