The main idea of this research was to seek an alternative to the current method employed to measure capacity in Sidoarjo District, Jawa Timur Province, Indonesia. Apart from its proneness to urban flooding, Sidoarjo has been suffering from the impact of hot mudflow accidents since 2006. Theoretically, there are two approaches to analyse capacity, namely institutional and spatial approach. The institutional capacity merely originated from the ability of government institutions to tackle floods; however, in a broader context, another stakeholder such as the local community also initiates the adoption of relevant measures. This research used a spatial approach to explore potential information relevant not only to impacted areas but also for risk zonation and spatial statistical analysis to compare primary data collected through interviews with ancillary data derived from the National Disaster Management Agency of the Republic of Indonesia. It revealed that Sidoarjo was likely to be exposed to floods and that unfortunately, the urban capacity was not equivalent to the hazard potential (r = 0.28, indicating weak correlation). While the government has integrated flood risk information into spatial plan documents, local preparedness in existing institutional capacity remains inadequately measured. Local commitment to regulation was found to be an influencing factor in local capacity development, although its financial support, operational implementation and other technical aspects needed to be improved. To conclude, the spatial approach enables scholars to relate capacity not only from the institutional effort, it also takes a closer look upon its hazard, vulnerability, elements at risk, spatial plan and massive grassroots initiatives to tackle urban flood.

这项研究的主要思想是寻求替代印度尼西亚Jawa Timur省Sidoarjo区目前用于测量容量的方法的替代方法。自2006年以来，Sidoarjo除了易受城市洪灾的影响外，还受到泥浆热事故的影响。从理论上讲，有两种分析能力的方法，即制度方法和空间方法。机构能力仅仅是源于政府机构应对洪水的能力；但是，在更广泛的范围内，当地社区等其他利益相关者也开始采取相关措施。这项研究使用空间方法来探索不仅与受灾地区相关的潜在信息，而且还与风险分区和空间统计分析相关，以将通过采访收集的主要数据与印度尼西亚共和国国家灾难管理局提供的辅助数据进行比较。它表明Sidoarjo很可能会遭受洪水的侵害，不幸的是，城市容量不等于潜在的危害（r  = 0.28，表示弱相关）。尽管政府已将洪水风险信息整合到空间计划文件中，但对现有机构能力的本地准备工作仍未得到充分衡量。尽管需要改进其财政支持，业务实施和其他技术方面，但当地对监管的承诺是影响当地能力发展的一个因素。总而言之，空间方法使学者们不仅可以通过制度努力来联系能力，还可以更深入地研究其危害，脆弱性，风险因素，空间计划以及应对城市洪水的大规模基层倡议。