An advanced spatial decision model for strategic placement of off-site hydrogen refueling stations in urban areas

IF 15 1区工程技术 Q1 ENERGY & FUELS Etransportation Pub Date : 2024-11-02 DOI:10.1016/j.etran.2024.100375

Akram Elomiya , Jiří Křupka , Vladimir Simic , Libor Švadlenka , Petr Průša , Stefan Jovčić

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Abstract

The strategic placement of hydrogen refueling stations (HRSs) is crucial for the successful adoption of hydrogen fuel cell vehicles (HFCVs) and the promotion of sustainable urban transportation. However, existing spatial decision models using Geographic Information Systems (GIS) and Multi-Criteria Decision-Making (MCDM) often stop at generating suitability maps and rely on simplistic or arbitrary site placement methods, such as fixed service radii, without optimizing spatial distribution that overlook inherent uncertainties, limiting the effectiveness of the decision-making process. This study develops an advanced spatial decision model to handle uncertainty and optimize HRS placement in Prague, Czechia. The model integrates multiple methodologies: (i) Utilizing 21 criteria across accessibility, environmental, infrastructural, and socioeconomic dimensions, with criteria weights prioritized using the Fuzzy Analytic Hierarchy Process (FAHP) to manage uncertainty in expert judgments. GIS suitability analysis identified optimal areas, with 18.13% of Prague classified as highly suitable for HRS deployment. (ii) Implementing Fuzzy C-Means (FCM) clustering to optimize site distribution and address uncertainty in HRS placement, proposing 10 optimal locations validated by a Silhouette score of 0.68. (iii) Evaluating model performance through sensitivity analysis, revealing responsiveness to criteria variations. To evaluate and rank the proposed HRS locations, we integrated a Genetic Algorithm (GA) with the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), optimizing the selection process by exploring a wider solution space. Additionally, accessibility analysis assessed emergency response coverage, ensuring efficient response times. This multi-methodological framework ensures a robust, data-driven approach to site selection, optimizing accessibility, minimizing environmental impact, and promoting sustainable urban transportation. It advances strategic infrastructure planning, sets a precedent for integrating advanced analytic techniques to handle uncertainty and automate site selection in spatial decision-making, and is adaptable to diverse urban contexts.

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用于在城市地区战略布局异地加氢站的先进空间决策模型

加氢站（HRS）的战略布局对于成功采用氢燃料电池汽车（HFCV）和促进可持续城市交通至关重要。然而，现有的使用地理信息系统（GIS）和多标准决策（MCDM）的空间决策模型往往止步于生成适宜性地图，并依赖于简单或任意的站点布置方法，如固定服务半径，而没有优化忽略固有不确定性的空间分布，从而限制了决策过程的有效性。本研究开发了一种先进的空间决策模型，用于处理不确定性并优化捷克布拉格的 HRS 布点。该模型整合了多种方法：(i) 利用 21 项标准，涵盖可达性、环境、基础设施和社会经济等维度，并使用模糊分析层次过程（FAHP）对标准权重进行优先排序，以管理专家判断中的不确定性。地理信息系统适宜性分析确定了最佳区域，18.13%的布拉格被归类为非常适合部署 HRS 的区域。(ii) 采用模糊 C-Means（FCM）聚类法优化站点分布，解决 HRS 布点的不确定性，提出了 10 个最佳地点，并通过 0.68 的 Silhouette 分数验证。(iii) 通过敏感性分析评估模型性能，揭示对标准变化的响应。为了对建议的 HRS 位置进行评估和排序，我们将遗传算法（GA）与理想解决方案相似性排序偏好技术（TOPSIS）相结合，通过探索更广阔的解决方案空间来优化选择过程。此外，可达性分析评估了应急响应覆盖范围，确保了高效的响应时间。这一多方法框架确保了以数据为导向的稳健选址方法，优化了可达性，最大限度地减少了对环境的影响，并促进了可持续的城市交通。它推进了战略性基础设施规划，开创了在空间决策中整合先进分析技术以处理不确定性和自动选址的先例，并适用于不同的城市环境。

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来源期刊

Etransportation Engineering-Automotive Engineering

CiteScore

19.80

自引率

12.60%

发文量

审稿时长

39 days

期刊介绍： eTransportation is a scholarly journal that aims to advance knowledge in the field of electric transportation. It focuses on all modes of transportation that utilize electricity as their primary source of energy, including electric vehicles, trains, ships, and aircraft. The journal covers all stages of research, development, and testing of new technologies, systems, and devices related to electrical transportation. The journal welcomes the use of simulation and analysis tools at the system, transport, or device level. Its primary emphasis is on the study of the electrical and electronic aspects of transportation systems. However, it also considers research on mechanical parts or subsystems of vehicles if there is a clear interaction with electrical or electronic equipment. Please note that this journal excludes other aspects such as sociological, political, regulatory, or environmental factors from its scope.