Abstract
There are many potential factors that are involved in the decision making process of site selection, which makes it a challenging issue. This paper addresses the collaborative decision making concept through a geo-social network to predict site selection for public parking in Tehran, Iran. The presented approach utilized the analytic hierarchy process (AHP) as a multi-criteria decision method (MCDM) for weighting the criteria, which was completed in two stages; once by 50 experts, and then by three different levels of users, including 50 experts, 25 urban managers, and 150 pubic citizens, with respect to the case study area. The fuzzy majority method aggregates the archived results of AHP to determine the preferred locations that are suitable for public parking. The proposed method was implemented using a telegram bot platform. Two main advantages of the collaborative decision making scenario for public urban site selection are the fair distribution of the selected locations and the high satisfaction of users, which increased from 65% to 85%. This study presents an application for site selection based on multi-criteria decision making in a geo-social network context.
Highlights
Site selection is one of the basic decisions in a public urban space that can be determined based on topographic interest, land availability, land use, and public preference [1]
The model presented is intended to facilitate site selection for public parking using a new approach of collaboration of multi-criteria decision-makers
Our setting is based on geo-social networks, due to the ease of access, user friendliness, and availability of spatial capabilities
Summary
Site selection is one of the basic decisions in a public urban space that can be determined based on topographic interest, land availability, land use, and public preference [1]. Site selection relied on an expert’s knowledge, while the main users of the facilities, such as urban managers and especially public citizens, were not included [4]. One of the most important urban facilities is public parking. Due to the widespread use of the automotive, almost all large cities experience public parking unavailability. One of the issues that comes up to solve the traffic problem is the right choice for public parking [6,7]. It is necessary to study a previous approach to obtain the most advantageous site selection for public parking
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