Identification of required stations for autonomous vehicles using AHP and TOPSIS method with GIS approach

IF 4.9 2区社会学 Q2 ENVIRONMENTAL SCIENCES

Sustainable Futures Pub Date : 2025-06-06 DOI:10.1016/j.sftr.2025.100755

Alireza Hoveidafard , Sina Fard Moradinia , Babak Golchin , Ali Ghaffari

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引用次数: 0

Abstract

Autonomous vehicles (AVs) equipped with new technologies that replace the human driver and operate essential functions without human input. Current stations have simple structures that need to be re-evaluated for the use of AVs in future sustainable cities. As the aim of this study is to identify appropriate locations of stations for AVs, 53 existing stations were evaluated in Mashhad, Iran. The combination of Analytical Hierarchy Process (AHP) analysis and Geographic Information System (GIS) software confirmed 15 of them based on considered criteria of accident rate, street width, population, traffic congestion, distances from stations and station density. Additionally, the mentioned criteria were ranked using TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method, and their weight were determined with the aid of AHP analysis. Finally, 9 Decision-Making Units (DMUs) were proposed for the construction of new AVs stations, and GIS maps indicated that these 9 stations meet the criteria more than others. In addition, the sensitivity analysis was specifically conducted using the Export Choice software to evaluate the robustness and stability of the model's results and to ensure their accuracy under different conditions.

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基于GIS的AHP和TOPSIS方法的自动驾驶车辆所需站点识别

自动驾驶汽车（AVs）配备了取代人类驾驶员的新技术，无需人工输入即可运行基本功能。目前的车站结构简单，需要重新评估，以便在未来可持续发展的城市中使用自动驾驶汽车。由于本研究的目的是确定自动驾驶汽车的适当站点位置，因此对伊朗马什哈德的53个现有站点进行了评估。结合层次分析法（AHP）和地理信息系统（GIS）软件，根据事事率、街道宽度、人口、交通拥堵、与车站的距离和车站密度等标准确定了其中的15个。此外，采用TOPSIS （Order Preference by Similarity to Ideal Solution）方法对上述标准进行排序，并借助AHP分析法确定其权重。最后，提出了新建自动驾驶汽车站点的9个决策单元（DMUs），并通过GIS地图分析表明，这9个站点比其他站点更符合建设标准。此外，还专门利用Export Choice软件进行敏感性分析，以评价模型结果的稳健性和稳定性，保证模型结果在不同条件下的准确性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Sustainable Futures Social Sciences-Sociology and Political Science

CiteScore

9.30

自引率

1.80%

发文量

审稿时长

71 days

期刊介绍： Sustainable Futures: is a journal focused on the intersection of sustainability, environment and technology from various disciplines in social sciences, and their larger implications for corporation, government, education institutions, regions and society both at present and in the future. It provides an advanced platform for studies related to sustainability and sustainable development in society, economics, environment, and culture. The scope of the journal is broad and encourages interdisciplinary research, as well as welcoming theoretical and practical research from all methodological approaches.