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Developing a street level walkability index in the Philippines using 3D photogrammetry modeling from drone surveys
Developing a street level walkability index in the Philippines using 3D photogrammetry modeling from drone surveys
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Developing a street level walkability index in the Philippines using 3D photogrammetry modeling from drone surveys
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Developing a street level walkability index in the Philippines using 3D photogrammetry modeling from drone surveys
Developing a street level walkability index in the Philippines using 3D photogrammetry modeling from drone surveys

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Developing a street level walkability index in the Philippines using 3D photogrammetry modeling from drone surveys
Developing a street level walkability index in the Philippines using 3D photogrammetry modeling from drone surveys
Journal Article

Developing a street level walkability index in the Philippines using 3D photogrammetry modeling from drone surveys

2022
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Overview
Walking behavior is influenced by both objective and subjective aspects of the built environment at the macro and micro scales. Most walkability studies focused on objective macro or mesoscale variables. The few studies that included microlevel indicators used various methods and sources to quantify street level urban design features, each with its own limitations. This study used drone photogrammetry to capture street features in a rapidly urbanizing area in the Philippines and showed that observational, distance, and view-related types of measurement can be done using a single 3D model. An inter-rater reliability test was conducted for observational indicators and showed good to excellent reliability. Using the quantified street features, we tested its correlation with scores generated from a walker perception survey to develop a composite walkability index that can be used for urban design and planning. Results showed that 13 walkability sub-models are statistically significant, wherein models pertaining to safety assumed the highest weights while complexity and imageability models ranked lowest. This study validated many of the street level indicators previously reported, while also suggested new ones. For some indicators, model effects were opposite of what was previously reported such as number of people, buildings with non-rectangular silhouettes and view of sky across, which reflect the unique characteristics of the study area. Findings provide new insights on walkability which may lead to improvements in the pedestrian environment, especially in the context of developing countries.