Developing a Methodology to Assess Pedestrian Walkability in the City Markets Using Multi-Attribute Decision-Making Techniques

Abstract

City markets are one of the busiest urban areas in India and experience heavy pedestrian footfall. This study uses multi-attribute decision-making (MADM) techniques to rank market roads based on the existing condition of pedestrian infrastructure. A set of seven key attributes was identified containing 28 sub-attributes influencing pedestrian walkability. Videography and photographic surveys were conducted at selected roads of Aminabad Market (AM) in Lucknow, and Silchar Market (SM) in Silchar. Attribute weights were calculated using the entropy weight method, and the roads were ranked using the analytical hierarchy process, the technique for order of preference by similarity to ideal solution, and a novel walkability metric called the Market Walkability Index. Spearman’s rank correlation coefficient was found to be more than 0.9 among all three methods, indicating conformity in ranking. Internal or minor roads of both the market areas (AM and SM) were observed to be the most used roads of the market areas for pedestrian movement. Still, they were not safe and walkable for pedestrian movement, indicating that more emphasis is required on these roads to improve the overall quality of the pedestrian walking environment. Research findings are expected to be essential inputs for rational decision-making about pedestrian infrastructure improvement in developing countries, which could contribute to a safer and more efficient environment for pedestrian movement.