HyTruck Spatial Planning Tool Data Deposit

About https://interreg-baltic.eu/project/hytruck The HyTruck project helps public authorities design a network of hydrogen refuelling stations for large trucks, bringing the region closer to zero-emissions in road freight transport. To understand the main criteria for selecting suitable sites for Hydrogen Refueling Stations (HRS), considering structural requirements, EU policy and environmental concerns. Following EU guidelines and using site suitability map, to create an optimized network of HRS for trucks operating in the Baltic Sea Region. Objectives At first the criteria have to be selected through a literature review and iterative stakeholder feedback then follow two computational phases. Together, these three objectives are introduced below: Criteria Selection Most of the current research on site selection for HRS stays within one country or even just a region within a single country. Site Suitability and AHP In the suitability modeling process using AHP, selected criteria are amalgamated into evenly sized grid cells, upon which they are classified based on literature review and stakeholder inputs. These classifications assign basic suitability values ranging from 0 (not suitable) to 5 (very suitable) to each criterion within a grid cell. The final suitability score for each grid cell is then calculated as a weighted (in the case of AHP) average of these values. This approach allows for the incorporation of different weights assigned to each criterion through ranking and AHP. Such weighting reflects varying levels of importance as perceived by stakeholders and planners, enabling them to impart their perspectives and priorities into the analysis. This methodology ensures a nuanced and tailored assessment of each grid cell's suitability, aligning the analysis with specific planning and decision-making objectives. To create a site suitability map, the data needs to be translated into the same granularity grid, in the web map we currently start out with a ca 1km grid. Spatial optimization of fuel station placement on the Ten-T road network As the project's ultimate objective is to optimize the placement of new HRS along the existing Ten-T network, adhering to the operational requirement that they be positioned no more than 200 km apart. This optimization is informed by the suitability analysis conducted across the region's data grid, which shall identify potential locations based on specific criteria including accessibility, cost-effectiveness, and existing landscape and infrastructure compatibility. The process involves integrating predefined stations at existing hubs into the transport network and strategically selecting (algorithmically proposing so to say based on the data inputs) new sites to ensure comprehensive coverage without redundancy. The aim is to minimize the number of new stations required while maximizing the network's efficiency and service area.项目简介：https://interreg-baltic.eu/project/hytruck HyTruck项目助力公共部门规划面向重型卡车的加氢站（Hydrogen Refuelling Stations, HRS）网络，推动波罗的海区域道路货运领域加速迈向零排放目标。 本项目旨在明确加氢站（HRS）选址的核心评价指标，综合考量结构规范、欧盟政策与环境关切因素；同时遵循欧盟指导方针，结合场地适宜性地图，为波罗的海区域运营的货运卡车打造优化后的加氢站网络。 项目目标 本次项目的实施分为三个环节：首先通过文献综述与迭代式利益相关方反馈征询确定选址评价指标，随后开展两个计算阶段，具体如下： 一、评价指标遴选 当前绝大多数加氢站选址相关研究均局限于单个国家，甚至仅覆盖一国境内的某一区域。 二、场地适宜性分析与层次分析法（AHP） 在采用层次分析法开展适宜性建模的过程中，已选定的评价指标将被整合至统一规格的网格单元中，并依据文献综述结果与利益相关方反馈完成分级。该分级流程为网格单元内的每项评价指标赋予基础适宜性分值，分值区间为0（不适宜）至5（极适宜）。 随后，各网格单元的最终适宜性得分将通过加权平均值（层次分析法场景下）计算得出。该方法可通过排序与层次分析法为各项评价指标赋予差异化权重，此类权重能够反映利益相关方与规划者对指标重要性的不同认知，从而将各方的视角与优先级纳入分析过程。 该方法可实现对各网格单元适宜性的精细化、定制化评估，使分析结果贴合特定规划与决策目标。为生成场地适宜性地图，所有数据需统一至相同粒度的网格体系中，当前网页地图采用的初始网格粒度约为1km。 三、Ten-T道路网沿线加氢站布局空间优化 本项目的终极目标是在现有Ten-T道路网沿线优化新建加氢站的布局，严格遵循相邻加氢站间距不超过200km的运营要求。本次布局优化将以区域数据网格的适宜性分析结果为依据，基于可及性、成本效益、既有景观与基础设施兼容性等具体标准筛选潜在建站点位。 该流程需将现有枢纽处的预设加氢站整合至交通网络中，并基于输入数据通过算法生成候选站点，以确保网络覆盖全面且无冗余。项目旨在最小化新建加氢站的需求数量，同时最大化网络的运营效率与服务覆盖范围。