2022
DOI: 10.3390/su14106309
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Barrier Effect in a Medium-Sized Brazilian City: An Exploratory Analysis Using Decision Trees and Random Forests

Abstract: This study aims to examine if an urban road with intense motorized traffic in a medium-sized Brazilian city constitutes a barrier for walking trips. A questionnaire was conducted with 103 individuals in an area up to 800 m from the road selected for the study to obtain information about personal characteristics (age, income, etc.), social interactions in the neighborhood, and travel and mobility characteristics. We used the dataset to explore the potential of Decision Tree and Random Forest classification mode… Show more

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Cited by 4 publications
(6 citation statements)
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“…[5,14,43], of green infrastructure (rows of trees, hedges, parks, etc.) [44][45][46], and traffic levels [17,24,36,47] has a strong impact on determining the effects of SLODs on pedestrian behaviour and habits, as well as their health as a fundamental component of the social vulnerability.…”
Section: How To Improve Pedestrian Slods Risk Assessment?mentioning
confidence: 99%
See 3 more Smart Citations
“…[5,14,43], of green infrastructure (rows of trees, hedges, parks, etc.) [44][45][46], and traffic levels [17,24,36,47] has a strong impact on determining the effects of SLODs on pedestrian behaviour and habits, as well as their health as a fundamental component of the social vulnerability.…”
Section: How To Improve Pedestrian Slods Risk Assessment?mentioning
confidence: 99%
“…Furthermore, this spatial representation allows decision-makers to map the single and multi-risk and identify the presence of target (i.e., sensitive) buildings in terms of vulnerability and crowding. Finally, focusing on ASs and LSs ensures pursuing a pedestrian-oriented standpoint on SLODs risk as well as a quick-to-apply approach relying on the effective meso-scale components of the urban BE [2,14,17].…”
Section: How To Improve Pedestrian Slods Risk Assessment?mentioning
confidence: 99%
See 2 more Smart Citations
“…Utilising georeferenced population census data, the authors highlighted significant differences in the socio-economic characteristics of the affected population [4,22]. Moreover, building upon their experience from previous studies, Jesus and Rodrigues da Silva (2022) investigated through a questionnaire survey the local population's perception regarding the potential role of high traffic volume and speed as a dynamic traffic barrier [23]. Using stated and revealed preference questionnaire surveys, Anciaes and Jones (2020) introduced an index that assesses the barrier effect [9].…”
Section: Introductionmentioning
confidence: 99%