Location analysis for a consolidation facility is a multi-criteria challenge, compounded by spatial constraints in real-world scenarios such as those found in inner-city areas. However, most decision support models in location studies of consolidation facilities are limited to numerical computation or multi-criteria analysis while ignoring spatial factors in location selection. This study aims to characterise suitable locations for an inner-city consolidation facility based on spatial aspects, operational requirements, and societal concerns. Accordingly, this study presents an integrated spatial multi-criteria location framework to identify and rank optimal sites for a proposed freight consolidation facility in an inner-city area using 11 decision criteria identified from key stakeholders. Real geographic data from Inner Melbourne, Australia, are used to identify 20 candidate sites which are then evaluated and ranked using the TOPSIS method. The suitability analysis confirms that the most suitable locations are in zones with affordable industrial land with excellent accessibility to major roads and goods receivers. Sensitivity analysis indicates that assigning more significance to the operational requirements and decreasing the priority weight for proximity to residential areas tip favourability towards areas with low real estate costs and more industrially-zoned parts. The multi-criteria spatial modelling allows decision-makers and transport researchers to apply value-decisions at the onset of the process, and it also allows for improved understanding and visualisation of the results and of the significance of the chosen criteria in the evaluation process.

合并设施的位置分析是一项多标准挑战，而现实环境中的空间限制（例如在市中心地区发现的空间限制）使情况更加复杂。但是，合并设施位置研究中的大多数决策支持模型都限于数值计算或多准则分析，而忽略了位置选择中的空间因素。这项研究旨在根据空间方面，运营要求和社会关注因素，为城市内部整合设施确定合适的位置。因此，本研究提出了一个综合的空间多准则定位框架，该框架使用从主要利益相关者中识别出的11条决策准则，为市区内拟议的货运合并设施识别和排序最佳地点。来自澳大利亚内墨尔本的真实地理数据，用于确定20个候选位点，然后使用TOPSIS方法对其进行评估和排名。适宜性分析证实，最合适的地点是在价格合理的工业用地上，对主要道路和货物接收者的可达性极佳。敏感性分析表明，为运营需求分配更多的重要性，并降低对居民区附近区域的优先权重，有利于房地产成本低且工业分区大的地区。多标准空间建模使决策者和运输研究人员可以在过程开始时应用价值决策，还可以提高对结果以及所选标准在评估过程中的重要性的理解和可视化。