Construction of user-adaptive urban waterlogging emergency scenarios considering mapping concerns

Abstract

Many current urban waterlogging emergency scenario constructions overlook the factors that influence users’ concerns, rendering the resulting scenarios less adaptable to various user types and hindering efficient comprehension of waterlogging risks. The objective of this study is to link user concerns with elements of waterlogging emergency scenarios and then proposes a model accommodating various user groups to enhance scenario applicability. Initially, we established a user classification system for urban waterlogging emergencies. Subsequently, we extracted relevant topic keywords from social media and emergency plans, aligning them with different user groups to address their specific concerns. Additionally, we expanded the geographical elements (time, location, people, things, events, and phenomena) of the scenario to encompass its constituent components. Utilising domain ontology, we developed a mapping model between user concerns and scenario elements. Finally, this study employed both prototype system development and questionnaire validation to assess the efficacy of the user model. The validation for mean values, include Accuracy 0.923, Completeness 0.945, Satisfaction 0.879, and model’s effectiveness is 91.7 %. The results indicate that the model has high reliability and could effectively expand the user universality of urban waterlogging emergency scenarios.