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dc.contributor.authorHorák, Jiří
dc.contributor.authorKukuliač, Pavel
dc.contributor.authorMarešová, Petra
dc.contributor.authorOrlíková, Lucie
dc.contributor.authorKolodziej, Ondřej
dc.date.accessioned2022-11-23T14:32:22Z
dc.date.available2022-11-23T14:32:22Z
dc.date.issued2022
dc.identifier.citationISPRS International Journal of Geo-Information. 2022, vol. 11, issue 5, art. no. 279.cs
dc.identifier.issn2220-9964
dc.identifier.urihttp://hdl.handle.net/10084/148913
dc.description.abstractContemporary cities require excellent walking conditions to support human physical activity, increase humans' well-being, reduce traffic, and create a healthy urban environment. Various indicators and metrics exist to evaluate walking conditions. To evaluate the spatial pattern of objective-based indicators, two popular indices were selected-the Walkability Index (WAI), representing environmental-based indicators, and Walk Score (WS), which applies an accessibility-based approach. Both indicators were evaluated using adequate spatial units (circle buffers with radii from 400 m to 2414 m) in two Czech cities. A new software tool was developed for the calculation of WS using OSM data and freely available network services. The new variant of WS was specifically designed for the elderly. Differing gait speeds, and variable settings of targets and their weights enabled the adaptation of WS to local conditions and personal needs. WAI and WS demonstrated different spatial pattern where WAI is better used for smaller radii (up to approx. 800 m) and WS for larger radii (starting from 800 m). The assessment of WS for both cities indicates that approx. 40% of inhabitants live in unsatisfactory walking conditions. A sensitivity analysis discovered the major influences of gait speed and the beta coefficient on the walkability assessment.cs
dc.language.isoencs
dc.publisherMDPIcs
dc.relation.ispartofseriesISPRS International Journal of Geo-Informationcs
dc.relation.urihttps://doi.org/10.3390/ijgi11050279cs
dc.rights© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.cs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0cs
dc.subjectwalkabilitycs
dc.subjectWalk Scorecs
dc.subjectWalkability Indexcs
dc.subjectelderlycs
dc.subjectsensitivity analysiscs
dc.subjectaccessibilitycs
dc.subjectGIScs
dc.titleSpatial pattern of the Walkability Index, Walk Score and Walk Score modification for elderlycs
dc.typearticlecs
dc.identifier.doi10.3390/ijgi11050279
dc.rights.accessopenAccesscs
dc.type.versionpublishedVersioncs
dc.type.statusPeer-reviewedcs
dc.description.sourceWeb of Sciencecs
dc.description.volume11cs
dc.description.issue5cs
dc.description.firstpageart. no. 279cs
dc.identifier.wos000803547300001


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© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.
Except where otherwise noted, this item's license is described as © 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.