Publication
Walkability and its Relationship with Traffic and Air Quality: A Geo Weighted Regression Analysis for Lisbon
| Summary: | This thesis explores the intricate relationship between walkability and urban environmental factors such as traffic and air quality. Walkability, a crucial element in urban planning, has increasingly been recognized for its significant impact on health, ecological balance, and social interaction within urban settings. The research employs a multi-dimensional analysis, utilizing variables from the walkability literature to analyze their impact on Car Traffic and Air Pollution, by the use of Geographically Weighted Regression of Gaussian and Poisson distributions. The findings suggest that some variables that are significant for Walkability might have an opposite impact on Car Traffic and Air Pollution or can greatly reduce both. This thesis contributes to urban planning discussions by providing more information on aspects of the city that can be thought out in a planning stage. |
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| Main Authors: | Filho, Ezio Antonio Carvalho de Oliveira |
| Subject: | Walkability Urban Design Indicators Smart Cities Air Pollution Car Traffic SDG 3 - Good health and well-being SDG 11 - Sustainable cities and communities SDG 13 - Climate action |
| Year: | 2024 |
| Country: | Portugal |
| Document type: | master thesis |
| Access type: | open access |
| Associated institution: | Universidade Nova de Lisboa |
| Language: | English |
| Origin: | Repositório Institucional da UNL |
| Summary: | This thesis explores the intricate relationship between walkability and urban environmental factors such as traffic and air quality. Walkability, a crucial element in urban planning, has increasingly been recognized for its significant impact on health, ecological balance, and social interaction within urban settings. The research employs a multi-dimensional analysis, utilizing variables from the walkability literature to analyze their impact on Car Traffic and Air Pollution, by the use of Geographically Weighted Regression of Gaussian and Poisson distributions. The findings suggest that some variables that are significant for Walkability might have an opposite impact on Car Traffic and Air Pollution or can greatly reduce both. This thesis contributes to urban planning discussions by providing more information on aspects of the city that can be thought out in a planning stage. |
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