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Walkability is emerging as an urban planning guideline that encourages walking, considered the healthiest and most sustainable mean of transportation. Street connectivity, essential for walkable spaces, is commonly measured through Intersection Density (ID). On the other hand, Integration, derived from the Space Syntax theory, is understood as a more complex measure of connectivity. In Brazil, no study has been conducted considering these variables in terms of walkability or sociodemographic variable moderations. The objective of this research is to analyze these connectivity measures’ influence on walking, considering sociodemographic covariables in a multiple logistic regression. A case study was conducted in Londrina-PR considering Origin-Destination data of trips (n = 19323) and sociodemographic characteristics. Integration was calculated for each street segment in a 1200m radius. ID was calculated by zone, considering intersection quantity and area. A multiple logistic regression model was fitted, containing significant covariables. Odds Ratio were analyzed in relation to their theoretical implications. Results indicate that residents of highly connected areas walked more. Both connectivity measures were significant. This suggests that although related, they can capture different aspects of the street network. This study contributes with evidence for the Brazilian context on connectivity through the prism of walkability. Through empiricism, it will be possible to subsidize public policy and urban planning in the creation of walkable spaces.

Street connectivity and walking: An empirical study in Londrina- PR