Walkability index is widely utilized based on objective attributes to assess potential of walking. However, researches discussed that objective attributes are self-evaluated and hence subjective measurements are required to better evaluate walkability. This study claims that self-evaluation of objective attributes differs among mandatory and non-mandatory trips. This suggest that while increase of walkability either objective or subjective potentially increase walking, it does not necessarily change behavior of mode choice in peak-time mandatory trips and hence may not be helpful for solving traffic problems. As a result, a more precise study is required if a more normative set of policy making is aimed. A data collection was conducted in May 2023 in Kermanshah, Iran. A total of 623 participants answered a paper questionnaire. Two logistic regression models were developed to reveal the effective variables on walking choice for mandatory and non-mandatory trips. Results explored that safety, slope, pavement, tree existence and connectivity significantly affect walking choice in mandatory trips. Whereas non-mandatory trips are under the influence of safety, slope, pavement, tree existence, connectivity, furnish and width. Overall evaluating of the result suggests that encouraging more people to walk for mandatory (work and educational) trips requires a more comprehensive plan including diverse strategies beyond sidewalks enhancement.
