Walkability variables: an empirical study in Rolândia - PR, Brazil
The built environment is a key determinant of physically active lifestyles. Notwithstanding, as social reality and physical activity are connected (BAUMAN et al., 2012), relevant walkability constructs for larger cities and high-income countries may not be suited for Brazilian cities. Therefore, th...
保存先:
| 主要な著者: | , , , |
|---|---|
| フォーマット: | Online |
| 言語: | eng |
| 出版事項: |
ANTAC - Associação Nacional de Tecnologia do Ambiente Construído
2020
|
| オンライン･アクセス: | https://seer.ufrgs.br/ambienteconstruido/article/view/91769 |
| タグ: |
タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
|
| id |
ojs-article-91769 |
|---|---|
| record_format |
ojs |
| spelling |
ojs-article-917692020-05-14T16:59:24Z Walkability variables: an empirical study in Rolândia - PR, Brazil Walkability variables: an empirical study in Rolândia - PR, Brazil Leão, Ana Luiza Favarão Abonizio, Hugo Queiroz Reis, Rodrigo Siqueira Kanashiro, Milena Built Environment; Walkability; Active Transport; Urban Health Ambiente Construído; Caminhabilidade; Mobilidade Ativa; Saúde Urbana The built environment is a key determinant of physically active lifestyles. Notwithstanding, as social reality and physical activity are connected (BAUMAN et al., 2012), relevant walkability constructs for larger cities and high-income countries may not be suited for Brazilian cities. Therefore, the main objective of this research is to evaluate the relevance of individual walkability-built environment features in mid-size Brazilian cities. From the systematizing of spatial data and a subjective database from the Urban Mobility Plan (n=756) of a case study, eight different walkability-related urban form features were aggregated in 1000 meters street network buffers and tested. Walkability features were analyzed through a machine learning approach, utilizing the Random Forest Algorithm, with self-reported walking (meters walked per area unit). Results indicate that the most relevant walkability features were: Entropy (FI= 0.609), Integration at a 2000-meter radius (FI=0.136) and Residential Density (FI=0.060). These findings are of great implication to the operationalization of walkability in Brazilian cities, indicating that more traditional walkability models might not be ideal. Implications of these findings include informing local urban policies to adopt an evidence-based, contextually-tailored approach. The built environment possessed determinants of more active lifestyles, related to social and cultural reality. Thus, relevant walkability variables in large cities and in developed countries may not be suitable for mid-sized Brazilian towns. Therefore, from a case study, the objective of this research was to evaluate the relevance of eight objective walkability variables: Residential Density; Retail Floor Area Ratio; Mixed Land Use (Entropy); Space Syntax - Integration and Choice; Land and Real Estate values in a case study of a mid-sized Brazilian town. From the geocoding of data from the Municipal Urban Mobility Plan, urban form variables were aggregated and tested in 1000 meter network buffers. Analyzes were performed using a machine learning approach, through the Random Forest algorithm, in relation to self-reported walking (meters walked per unit of area). Results indicated that the most relevant characteristics were: Entropy, Integration within a 2000 meter radius and Residential Density. Contributions include the possibility of subsidizing urban planning policies in adopting an evidence-based approach. ANTAC - Associação Nacional de Tecnologia do Ambiente Construído Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Departamento de computação da Universidade Estadual de Londrina Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Departamento de Computação da Universidade Estadual de Londrina 2020-05-08 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion https://seer.ufrgs.br/ambienteconstruido/article/view/91769 Ambiente Construído; v. 20, n. 2 (2020); 475-488 Ambiente Construído; v. 20, n. 2 (2020); 475-488 Ambiente Construído; v. 20, n. 2 (2020); 475-488 1678-8621 1415-8876 eng https://seer.ufrgs.br/ambienteconstruido/article/view/91769/56967 Direitos autorais 2020 Ambiente Construído https://creativecommons.org/licenses/by/4.0 |
| institution |
Universidade Federal do Rio Grande do Sul |
| collection |
OJS |
| language |
eng |
| format |
Online |
| author |
Leão, Ana Luiza Favarão Abonizio, Hugo Queiroz Reis, Rodrigo Siqueira Kanashiro, Milena |
| spellingShingle |
Leão, Ana Luiza Favarão Abonizio, Hugo Queiroz Reis, Rodrigo Siqueira Kanashiro, Milena Walkability variables: an empirical study in Rolândia - PR, Brazil |
| author_facet |
Leão, Ana Luiza Favarão Abonizio, Hugo Queiroz Reis, Rodrigo Siqueira Kanashiro, Milena |
| author_sort |
Leão, Ana Luiza Favarão |
| title |
Walkability variables: an empirical study in Rolândia - PR, Brazil |
| title_short |
Walkability variables: an empirical study in Rolândia - PR, Brazil |
| title_full |
Walkability variables: an empirical study in Rolândia - PR, Brazil |
| title_fullStr |
Walkability variables: an empirical study in Rolândia - PR, Brazil |
| title_full_unstemmed |
Walkability variables: an empirical study in Rolândia - PR, Brazil |
| title_sort |
walkability variables: an empirical study in rolândia - pr, brazil |
| description |
The built environment is a key determinant of physically active lifestyles. Notwithstanding, as social reality and physical activity are connected (BAUMAN et al., 2012), relevant walkability constructs for larger cities and high-income countries may not be suited for Brazilian cities. Therefore, the main objective of this research is to evaluate the relevance of individual walkability-built environment features in mid-size Brazilian cities. From the systematizing of spatial data and a subjective database from the Urban Mobility Plan (n=756) of a case study, eight different walkability-related urban form features were aggregated in 1000 meters street network buffers and tested. Walkability features were analyzed through a machine learning approach, utilizing the Random Forest Algorithm, with self-reported walking (meters walked per area unit). Results indicate that the most relevant walkability features were: Entropy (FI= 0.609), Integration at a 2000-meter radius (FI=0.136) and Residential Density (FI=0.060). These findings are of great implication to the operationalization of walkability in Brazilian cities, indicating that more traditional walkability models might not be ideal. Implications of these findings include informing local urban policies to adopt an evidence-based, contextually-tailored approach. |
| publisher |
ANTAC - Associação Nacional de Tecnologia do Ambiente Construído |
| publishDate |
2020 |
| url |
https://seer.ufrgs.br/ambienteconstruido/article/view/91769 |
| work_keys_str_mv |
AT leaoanaluizafavarao walkabilityvariablesanempiricalstudyinrolandiaprbrazil AT aboniziohugoqueiroz walkabilityvariablesanempiricalstudyinrolandiaprbrazil AT reisrodrigosiqueira walkabilityvariablesanempiricalstudyinrolandiaprbrazil AT kanashiromilena walkabilityvariablesanempiricalstudyinrolandiaprbrazil |
| _version_ |
1709370660127506432 |