The research was developed linking the impact of flood risk on utility, desirability and marketability related to vulnerability of commercial property value. Likert style questionnaire survey was conducted to obtain data from flood affected and un-affected respondents across different designated flood risk zones on key business and perception variables among two groups of business property holders in England. The responses were analysed through a spatial vulnerability model to illustrate the distribution of the vulnerability of value of properties among flood plain business holders on a GIS platform. Majority of respondents perceived that utility of properties may be hampered by flooding and subsequently have an impact on value for property at risk. Those with flood experience gave greater weight to their specific business needs such as the prime location and expected income level than those without flood experience. The implication of the study lies in understanding that flood risk perceptions can shape actions of people at risk towards future increase in resilience having strategic impact on value of property saleability in the future.
Shocks such as flooding are sudden events that can affect the wellbeing of people, whether it's a single household or business or the entire community. Repeated flood shocks is one of the least researched phenomena associated with understanding the socio-economic dynamics in flood disaster but is acknowledged to be a significant factor in flood impacts. The memory within, and its dynamics interrelated with, the complex socio-ecological system is therefore the main focus of this research. It is virtually impossible to understand the dynamics of socio-economic complexities of flood memory of a system without accounting for the human dimension of vulnerability and interrelated feedbacks associated with it that alter the overall resilience within the system. The concept of memory within the context of disasters has largely been restricted to studies of a psychological nature, however, it is realized that to understand the components of adaptability in environmental, social, and economic contexts, with reference to memory and resilience to repeated physical stress, is equally important. Previous research has identified a number of factors that affect the socio-economic vulnerability of affected population but few attempts has been made to integrate the factors to develop an aggregated system structure. This research adopts a method of structured literature review to identify the concepts and scope of memory in the system and explores those multi-faceted aspects of multi-scale and multi-level processes of memory and socio-ecological patterns to identify how such complexities react to changing stresses. Based on the combined insights a new approach is presented in the form of conceptual map illustrating the need to highlight the role of memory in the process of enhanced resilience.
In the wake of worldwide health crises such as the COVID-19 pandemic, preparedness for disasters can be seriously challenging, especially for already-struggling developing nations. Evidence shows that investigating the dynamic balance between preparedness, communication and response helps in understanding the management systems of two very different forms of disasters happening together. One such case was investigated in Bangladesh, one of the countries with the highest level of vulnerability to changing climate. Bangladesh is prone to frequent cyclones, and more than 80% of the population is potentially at risk of flooding. The country is renowned for its Cyclone Preparedness Programme; however, managing the risk of Cyclone Amphan (May 2020) was hampered, as the country had never previously prepared for a cyclone during a global pandemic. This chapter examines the preparedness of the coastal population for dealing with the 'dual disasters' of Amphan and COVID-19. Two sets of participants (affected community, expert group) were interviewed using a snowball method to elucidate the adequacy of their preparedness levels. The outcome of the exercise revealed that due to inefficient institutional support and limited personal capacity, participants were not effectively prepared for the disasters. Their responses echoed some fundamental flaws in disaster management in the context of preparedness and response in tackling dual disasters for developing nations. Policy makers in Bangladesh and elsewhere need to stop normalising vulnerability.
<p>Agenda 2030 goal 11 commits towards making disaster risk reduction an integral part of sustainable social and economic development. Flooding poses some of the most serious challenges in front of developing nations by hitting hardest to the most vulnerable. Focussing on the urban poor, frequently at highest risk are characterised by inadequate housing, lack of services and infrastructure with high population growth and spatial expansion in dense, lower quality urban structures. Use of big data from within these low-quality urban settlement areas can be a useful step forward in generating information to have a better understanding of their vulnerabilities. Big data for resilience is a recent field of research which offers tremendous potential for increasing disaster resilience especially in the context of social resilience. This research focusses to unleash the unrealised opportunities of big data through the differential social and economic frames that can contribute towards better-targeted information generation in disaster management. The scoping study aims to contribute to the understanding of the potential of big data in developing particularly in low-income countries to empower the vulnerable population against natural hazards such as floods. Recognising the potential of providing real-time and long-term information for emergency management in flood-affected large urban settlements this research concentrates on flood hazard and use of remotely sensed data (NASA, TRMM, LANDSAT) as the big data source for quick disaster response (and recovery) in targeted areas. The research question for the scoping study is: Can big data source provide real-time and long- term information to improve emergency disaster management in urban settlements against floods in developing countries? &#160;Previous research has identified several potentials that big data has on faster response to the affected population but few attempts have been made to integrate the factors to develop an aggregated conceptual output . An international review of multi-discipline research, grey literature, grass-root projects, and emerging online social discourse will appraise the concepts and scope of big data to highlight the four objectives of the research and answer the specific questions around existing and future potentials of big data, operationalising and capacity building by agencies, risk associated and prospects of maximising impact. The research proposes a concept design for undertaking a thematic review of existing secondary data sources which will&#160; be used to provide a holistic picture of how big data can support in resilience through technological change within the specific scope of social and environmental contexts of developing countries. The implications of the study lie in the system integration and understanding of the socio-economics, political, legal and ethical contexts essential for investment decision making for strategic impact and resilience-building in developing nations.</p>
Globally, hydroclimatic hazards are becoming more frequent and severe, driven by a warming climate and urbanization. With the evolving nature of flooding, research focus remains strong in this discipline. However, despite the changing nature of hydroclimatic hazards, the importance of the disaster management cycle has endured. Since its inception in 1979, the cycle has evolved, enabled by its open-system nature, through the inclusion of additional stages and stage weightings. Interpretation of the cycle has proven particularly influential in understanding how practitioners have focused most significantly on the mitigation and post-disaster stages substantiated by their continuing dominance in flood risk management. However, contemporary research and disaster risk reduction frameworks such as the Global Sendai Framework stress the importance of the preparedness stage in assisting society with an effective response and recovery. Therefore, increased research focus on the preparedness stage is viewed as a facilitator for an effective response and recovery.
In this research we used walking interviews to investigate the measures used by shopkeepers as protection against floods. The concept of anticipated memory has been used to identify the relationship between their learning from previous events and the adaptive measures they have taken to reduce risk of future flooding in Gregório Creek basin. The area is affected by major flooding issues in the city of São Carlos, southeastern Brazil. Twenty-three (23) downtown merchants shared their experience of the extreme rainfall that occurred on 12 January 2020, characterized by a return period of 103 years. Comparing our findings with November 2015 and March 2018 floods (Interviews 37 and 52 respectively), we noted that due to the enhanced level of threat, people had changed their adaptation strategy by increasing the sum of floodgate height more than 4-fold (870 cm to 3830 cm) between 2015 to 2020. Our results showed that despite frequent flooding, the shopkeepers downtown were reluctant to move away from the area; rather, they preferred to improve their individual protection. The substantial increase in the height of the floodgates represents the population’s feedback in the face of a new level of threat.
Abstract The collection and use of data on climate change and its impacts are crucial for effective climate adaptation and climate risk management. The revolution in internet access, technology and costs has led to a shift from using traditional paper‐based data collection to the use of Mobile Data Collection using Personal Digital Assistants (PDA) such as smartphones and tablets. In this paper, we report our experiences using both approaches for a household and business survey during a climate adaptation study in two Nigerian cities—Makurdi and Calabar. The focus of this paper is to evaluate and compare the effectiveness of using traditional paper‐based data collection and PDAs as data collection tools for climate change study in African societies. In Calabar, data were collected using paper questionnaires, while in Makurdi the questionnaires were developed on Open Data Kit (ODK) and administered using PDAs. Results show that data collection using PDA was faster, cheaper, more accurate and resulted in fewer omissions than paper‐based data collection. There was a time saving of four (4) minutes per questionnaire and a 24% cost saving when using PDA. PDA provides additional benefits where platforms can collect images, videos and coordinates. This significantly improved the credibility of the data collection process and provided further data that allowed for the mapping of environmental phenomena by linking survey research with geo‐referenced data in a geographic information systems platform to provide spatial representations of social and environmental system convergence. PDA offers a tool for collecting data that will make necessary socio‐environmental data available in a faster, reliable and cheaper manner; future research can build on this study by discovering other possible but less highlighted benefits of PDA. Although, with great benefits, there are lessons to be learnt and issues to consider when deploying PDA in large‐scale household surveys.
This Introduction presents the collection of chapters in this Handbook - chapters that emphasize urban flood management on city, neighbourhood, local and property scales. The chapters propose that the goal of risk management, to minimize the risk to populations, can be enhanced through better understanding of the impacts on people and their risk behaviours. Such understanding can be developed through collaboration involving communities and other urban stakeholders at all stages and in multiple ways. Furthermore, they indicate the immense variety of research beginning to evaluate the effect of involving wider stakeholders and communities in designing and implementing mitigation, preparedness and emergency actions towards more informed and socially connected flood risk management.
The menace of urban flooding in African developing economies be it Accra, Lusaka, St. Louis or Lome is causing an enormous disruption in their path of development. The urban poor population are often hardest hit as the increasing hazard of small and medium floods coupled with massive urbanisation degrades living conditions. Existing research is reviewed and suggests that the perennial nature of these disasters and lack of forward preparation cripples the existing management framework of these developing economies and retards progress towards development goals. Case study examples of urban flood scenarios in different African developing economies demonstrate that causes of flood hazard are diverse across urban areas. However there are common causes of increasing risk which underpin the devastating impacts experienced by the poor and vulnerable. The conclusion from the study based on the key characteristics of African cities pinpoints the challenges and possible constraints in building effective institutional capacities in flood alleviation. Full understanding of the recurring challenges against disasters, that growing economies of Africa are facing today, demands institutional capacity building for effective flood management and risk reduction and broad dissemination across and within nations. This will increase awareness and encourage local authorities to place flood risk reduction and capacity building higher up in their planning agenda.