Abstract

In the past era, in the transport planning process walkability was at the least priority as it was considered as a minor mode of transport. Though, it has its importance towards social life, economy, empirical quality and health. Consequently, the focus of the researchers across the world is now on walkability analysis. Therefore, to assess the walkability of an urban transport network in India, 15 different locations (i.e. institutional, educational, commercial, terminals and residential) were selected from three different cities. In the present study, different statistical techniques (i.e. factor analysis stepwise regression method) were used to identify a suitable number of data set based on their correlation analysis. Thereafter, land use-based and combined models were developed with the help of a questionnaire survey. Finally, different clustering analysis technique was used to assess the walkability thresholds which will make the job easier for sidewalk planners (i.e. in walkability analysis).

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