Assessing Community Resilience to Urban Flooding in Multiple Types of the Transient Population in China

Abstract

While various measures of mitigation and adaptation to climate change have been taken in recent years, many have gradually reached a consensus that building community resilience is of great significance when responding to climate change, especially urban flooding. There has been a dearth of research on community resilience to urban floods, especially among transient communities, and therefore there is a need to conduct further empirical studies to improve our understanding, and to identify appropriate interventions. Thus, this work combines two existing resilience assessment frameworks to address these issues in three different types of transient community, namely an urban village, commercial housing, and apartments, all located in Wuhan, China. An analytic hierarchy process–back propagation neural network (AHP-BP) model was developed to estimate the community resilience within these three transient communities. The effects of changes in the prioritization of key resilience indicators under different environmental, economic, and social factors was analyzed across the three communities. The results demonstrate that the ranking of the indicators reflects the connection between disaster resilience and the evaluation units of diverse transient communities. These aspects show the differences in the disaster resilience of different types of transient communities. The proposed method can help decision makers in identifying the areas that are lagging behind, and those that need to be prioritized when allocating limited and/or stretched resources.

An Evaluation of Urban Resilience to Flooding

“…In the analysis process, the article combined two model methods, namely, the interpretation structure model and the network analytic hierarchy process, and thus built the ISM-ANP model. Some scholars have used this model to conduct other studies to prove the usability of this model [36,41]. However, this method has certain limitations, that is, the data are subjective.…”

“…Although the term resilience has become a new paradigm for flood risk management in places including Europe, Australia, and the United States, China's approach is still in its infancy [36]. This has tended to focus mainly on the analysis of the concept of urban resilience and the development of theoretical frameworks, including the construction and evaluation of indicator systems [37].…”

Ketangguhan Wilayah Pesisir Selatan Provinsi Daerah Istimewa Yogyakarta Terhadap Bahaya Bencana Tsunami

“…Jika jarak menuju shelter evakuasi jauh, maka risiko timbulnya banyak korban jiwa semakin besar. Lebih jauh, jumlah penduduk di dunia yang terus bertambah justru membuat semakin banyak penduduk yang bertempat tinggal di kawasan rawan bencana (Xu et al, 2020;Oktari et al, 2020).…”

The Influence of COVID-19 on Community Disaster Resilience

“…Firstly, the factors influencing disaster community resilience were selected by using a fuzzy Delphi method. Through a combination of the results of a review of related literature [ 26 , 40 ], seventeen factors to COVID-19 were found to influence community resilience and these were selected on the basis of a common framework [ 26 ]. Then the dimensions and indicators of community resilience to COVID-19 were identified based on the common framework and fuzzy Delphi method.…”