Revealing relationships between levels of air quality and walkability using explainable artificial intelligence techniques

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F26%3A0201442" target="_blank" >RIV/00216305:26210/26:0201442 - isvavai.cz</a>

Result on the web

<a href="https://link.springer.com/article/10.1007/s10098-024-03012-9" target="_blank" >https://link.springer.com/article/10.1007/s10098-024-03012-9</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/s10098-024-03012-9" target="_blank" >10.1007/s10098-024-03012-9</a>

Result language

angličtina

Original language name

Revealing relationships between levels of air quality and walkability using explainable artificial intelligence techniques

Original language description

Based on the global interest in environmental and health issues related to air pollution, this study addresses the impact of air quality on walking and related factors in cities. This study analyzes the impact of air quality on pedestrian volume in Seoul, Korea, and the relationship between these two variables. In this study, an Artificial Intelligence model was first built to predict pedestrian volume using various urban environmental variables. Then, using Explainable Artificial Intelligence techniques, various factors affecting pedestrian volume were post-analyzed and the interaction between pedestrian volume and air quality was identified. The results of the study show that air quality indicators have a high variable importance in predicting pedestrian volume, and when the indicators improve above a certain level, pedestrian volume is rapidly activated. In addition, the concentration of fine dust does not have a significant effect on the increase in pedestrian volume on weekdays and in urban centers where essential travel occurs, whereas in neighborhood parks, pedestrian volume elastically decreased due to the deterioration of air quality, and this phenomenon was more pronounced when the fine dust rating was downgraded. Finally, the sensitivity of walking variation by air quality was analyzed in consideration of population characteristics in neighborhood parks. In general, it was confirmed that women were more vulnerable to air quality than men, and young adults were relatively more vulnerable to air quality than children and the elderly in the age group, and this difference appeared differently depending on regional characteristics.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

10511 - Environmental sciences (social aspects to be 5.7)

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2025

Confidentiality

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

Name of the periodical

Clean Technologies and Environmental Policy

ISSN

1618-954X

e-ISSN

1618-9558

Volume of the periodical

27

Issue of the periodical within the volume

12

Country of publishing house

US - UNITED STATES

Number of pages

17

Pages from-to

8623-8639

UT code for WoS article

001314848100001

EID of the result in the Scopus database

2-s2.0-85204304656