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Spatial Pattern of the Walkability Index, Walk Score and Walk Score Modification for Elderly

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F22%3A50019157" target="_blank" >RIV/62690094:18450/22:50019157 - isvavai.cz</a>

  • Alternative codes found

    RIV/61989100:27350/22:10250494

  • Result on the web

    <a href="https://www.mdpi.com/2220-9964/11/5/279" target="_blank" >https://www.mdpi.com/2220-9964/11/5/279</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.3390/ijgi11050279" target="_blank" >10.3390/ijgi11050279</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Spatial Pattern of the Walkability Index, Walk Score and Walk Score Modification for Elderly

  • Original language description

    Contemporary 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 objectivebased 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 β coefficient on the walkability assessment. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    <a href="/en/project/GA21-22276S" target="_blank" >GA21-22276S: Accessibility modelling for seniors, perception of accessibility and determinants of their spatial mobility</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2022

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    ISPRS International Journal of Geo-Information

  • ISSN

    2220-9964

  • e-ISSN

    2220-9964

  • Volume of the periodical

    11

  • Issue of the periodical within the volume

    5

  • Country of publishing house

    CH - SWITZERLAND

  • Number of pages

    29

  • Pages from-to

    "Article number: 279"

  • UT code for WoS article

    000803547300001

  • EID of the result in the Scopus database

    2-s2.0-85129730896