Providing a Pattern and Planning Method for Footpaths and Sidewalks to Protect Deteriorated and Vulnerable Urban Contexts

Abstract

This research seeks to answer this question to prevent the waste of capital in routes without potential and allocate facilities and facilities to routes with potential to encourage people to move on foot on short trips. Through what criteria and indicators can the existing potential of the roads be measured, and as a result, by finding the optimal routes for pedestrian traffic, one of the most important problems of the public's lack of acceptance of non-motorized transportation can be solved. At first, by using the descriptive-analytical research method, through library studies, the existing literature in this field and also the experiences of other countries of the world and Iran have been investigated. In this way, the theoretical framework of the research has been formed and effective criteria and indicators have been extracted in measuring the potential of roads for pedestrian movement. In this way, four criteria of land use, traffic safety, security, attractiveness, and comfort have been defined. The extracted criteria and sub-criteria are valued through the process of hierarchical analysis and the Delphi method. In the next step, by using the case-based research method, the data related to the sub-criteria at the level of the roads in the study area are collected through observation and interview entered into the geographic information system, and finally analyzed by the geographic information system and in some cases, The layout of the space (to measure the network continuity) is done and the routes with potential for pedestrian movement are extracted. Finally, from the summation of the weighted values obtained for each of the roads regarding land use criteria, traffic safety, security attractiveness, and comfort, the final score of each of the roads in the study area (intended statistical population) about the potential Passages are obtained to create suitable routes for pedestrian traffic.