Identification of e-Scooter Shared (ESS) Stations by using a GIS-based MCDM Approach

Abstract

The popularity of micromobility-shared systems has been rising in cities all over the world due to a number of advantages. Cities are increasingly looking for more environmentally friendly ways of transportation due to both traffic congestion and environmental concerns. The positioning of rental stations in respect to prospective congruent criteria is a crucial element in the effectiveness of micromobility-shared networks. Thus, it is crucial to use quantitative methodologies while conducting a site appropriateness analysis for micromobility-shared stations. With a focus on e-scooter shared (ESS) services, this study was conducted to assist the local authorities in identifying the factors and suitability of the ESS operating area. The area selected for this study was Shah Alam as the city council still allows this ESS to operate in some specific areas, especially in the city centre. This can indirectly help in the identification of the characteristics of the existing ESS operating area. The results of the study found a total of 35 existing ESS station locations in Shah Alam. Most of these ESSs are in recreation/park and tourism areas. Accordingly, some characteristics have been adopted from the study of Kabak et al., (2018) according to suitability in Malaysia. A total of eight criteria have been identified and used, namely: proximity to sports centers/recreation/tourist/green area, proximity to shopping malls/business centers, proximity to educational institutions, proximity to residential, proximity to industries, proximity to bike lane/pathway, proximity to bus stop/bus station/train station; and population density. Besides. expert opinion has also been used in this study to obtain weighting information for each criterion. Results have recommended 9 new ESS locations for consideration by the local council.