Research Area:  Machine Learning

Abstract:

Over the last two decades, many walkability attributes and variables have been considered in the evaluation of walkability scores with various methods and approaches. This study investigates the recent trend of walkability measures in terms of the scale of analysis, the case study location, the type of measurements, the data collection tool, the analysis method, and the research field.In a review of existing literature, this paper analyzes and compares the walkability studies over the past two decades. A total of 75 articles from 40 journals and conference proceedings were selected through a systematic and sequential procedure. In order to explore the research trend among the reviewed articles, we applied a hierarchical clustering technique. A meta-analysis was performed to systematically assess the results of previous walkability studies to derive conclusions about the future direction of research.

Keywords:  
Walkability measures
Clustering technique
Walkability variables
Clustering
Analysis

Author(s) Name:  Md Mehedi Hasan,Jun-Seok Oh,Valerian Kwigizile

Publisher name:  Elsevier

DOI:  10.1016/j.jth.2021.101241

Volume Information:  Volume 22

Paper Link:   https://www.sciencedirect.com/science/article/abs/pii/S2214140521002711