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Natural disasters occur all around the world, in the last two decades these natural disasters have brought sever damages to the world economy. Mostly developing countries bear severe consequences due to these natural disasters. In July 2010, Pakistan faced a massive flood, which affected almost all the countries. The disaster affected all sectors like daily life, transportation, infrastructure, etc., of the country. GOP did not have enough resources to cope with this giant disaster and called for international help. Local and international NGOs participated with GOP in the early phases of recovery. Millions of dollars were given away as the initial impact of this disaster, and GOP and other relief agents have spent other million to provide initial recovery and relief. GOP will need billions of dollars further to continue recovery from the disaster of 2010.

The purpose of this paper is to present a novel approach that examines the vulnerability and interdependency of critical infrastructures using the network theory in geographic information system (GIS) setting in combination with literature and government reports. Specifically, the objectives of this study were to generate the network models of critical infrastructure systems (CISs), particularly electricity, roads and sewerage networks; to characterize the CISs’ interdependencies; and to outline the climate adaptation (CA) and flood mitigation measures of CIS.

An integrated approach was undertaken in assessing the vulnerability and interdependency of critical infrastructures. A single system model and system-of-systems model were operationalized to examine the vulnerability and interdependency of the identified critical infrastructures in GIS environment. Existing CA and flood mitigation measures from government reports were integrated in the above-mentioned findings to better understand and gain focus in the implementation of natural disaster risk reduction (DRR) policies, particularly during the 2010/2011 floods in Queensland, Australia.

Using the results from the above-mentioned approach, the spatially explicit framework was developed with four key operational dimensions: conceiving the climate risk environment; understanding the critical infrastructures’ common cause and cascade failures; modeling individual infrastructure system and system-of-systems level within GIS setting; and integrating the above-mentioned results with the government reports to increase CA and resilience measures of flood-affected critical infrastructures.

While natural DRR measures include preparation, response and recovery, this study focused on flood mitigation. Temporal analysis and application to other natural disasters were also not considered in the analysis.

By providing this information, government-owned corporations, CISs managers and other concerned stakeholders will allow to identify infrastructure assets that are highly critical, identify vulnerable infrastructures within areas of very high flood risk, examine the interdependency of critical infrastructures and the effects of cascaded failures, identify ways of reducing flood risk and extreme climate events and prioritize DRR measures and CA strategies.

The individualist or “pigeon-hole” approach has been the common method of analyzing infrastructures’ exposure to flood hazards and tends to separately examine the risk for different types of infrastructure (e.g. electricity, water, sewerage, roads and rails and stormwater). This study introduced an integrated approach of analyzing infrastructure risk to damage and cascade failure due to flooding. Aside from introducing the integrated approach, this study operationalized GIS-based vulnerability assessment and interdependency of critical infrastructures which had been unsubstantially considered in the past analytical frameworks. The authors considered this study of high significance, considering that floodplain planning schemes often lack the consideration of critical infrastructure interdependency.

The 2011 and 2013 Queensland, Australia flood events caused massive infrastructure damage for low-level stream crossings such as floodways and culverts in regional Queensland. Failures of newly built floodways during the 2013 Queensland flood event in the Lockyer Valley Regional Council area raised significant concerns with respect to floodway design practices adopted in Australia and attracted significant research interest to enhance the resilience of floodways. Review of existing floodway design guidelines indicates that floodway design process is closely related to hydraulic and hydrological aspects. However, conducting a hydrological analysis is a challenging in rural areas, mainly owing to information scarcity. Floodways in rural areas often require a simple and economical solution contrast to more detailed hydrological analysis approaches adopted in urbanised areas. This paper aims to identify and apply the rational method to estimate maximum flood discharges at selected floodway locations in the Lockyer Valley Regional Council area. The paper further attempts to provide the first insight of flood characteristics during the 2011 and 2013 Queensland flood events at three catchment outputs across the selected case study area. It also highlights modern day challenges for practising engineers and researchers when estimating flood characteristics in rural areas. The paper shows that cross-cultivation of advancement in engineering practices and traditional approaches can promote quantitative approaches when assessing floodway damage in regional areas.

The research identifies limitations when assessing flood impact in rural regions in collaboration with experience from industry partners and authors themselves. The authors developed a framework to overcome those limitations arising from information scarcity to minimise the trial and error design approaches utilised in the current design practices for floodways.

This paper developed a simple and effective hydrological method with minimum inputs. It also provides an example on collating available but scattered resources and traditional method to quantitatively assess flood discharges of a rural catchment in Australia. Flood discharges at three catchment outlets along the Left-Hand Branch Road in the Lockyer Valley Region during both 2011 and 2013 Queensland flood events are estimated for the first time. The findings highlight the impact of flood discharges and flooded period on floodway failures.

The current research is based on a selected case study area in Australia. However, similar challenges are expected all across the world, due to the scarcity of rainfall and flood measurement gauges.

Floodway designers can apply similar framework to estimate the flood discharges instead of current practice of trial and error process. This will provide more scientific and reliable estimation and assessment process.

One of the social impacts identified in the broader research is the community outrages and disagreement between floodway design engineers and the community. Following the developed framework in the manuscript, design engineers will be able to justify their assumptions and design work.

The paper presents a novel framework on collating different and scattered information towards estimating flood discharges in rural areas. The manuscript presents the first insights on estimated flood discharges in the selected case study area during the 2011 and 2013 Queensland flood events. This will enable further research to be performed in a quantitative manner rather than the present approach of qualitative manner.

The purpose of this paper was to develop an integrated framework for assessing the flood risk and climate adaptation capacity of an urban area and its critical infrastructures to help address flood risk management issues and identify climate adaptation strategies.

Using the January 2011 flood in the core suburbs of Brisbane City, Queensland, Australia, various spatial analytical tools (i.e. digital elevation modeling and urban morphological characterization with 3D analysis, spatial analysis with fuzzy logic, proximity analysis, line statistics, quadrat analysis, collect events analysis, spatial autocorrelation techniques with global Moran’s I and local Moran’s I, inverse distance weight method, and hot spot analysis) were implemented to transform and standardize hazard, vulnerability, and exposure indicating variables. The issue on the sufficiency of indicating variables was addressed using the topological cluster analysis of a two-dimension self-organizing neural network (SONN) structured with 100 neurons and trained by 200 epochs. Furthermore, the suitability of flood risk modeling was addressed by aggregating the indicating variables with weighted overlay and modified fuzzy gamma overlay operations using the Bayesian joint conditional probability weights. Variable weights were assigned to address the limitations of normative (equal weights) and deductive (expert judgment) approaches. Applying geographic information system (GIS) and appropriate equations, the flood risk and climate adaptation capacity indices of the study area were calculated and corresponding maps were generated.

The analyses showed that on the average, 36 (approximately 813 ha) and 14 per cent (approximately 316 ha) of the study area were exposed to very high flood risk and low adaptation capacity, respectively. In total, 93 per cent of the study area revealed negative adaptation capacity metrics (i.e. minimum of −23 to <0), which implies that the socio-economic resources in the area are not enough to increase climate resilience of the urban community (i.e. Brisbane City) and its critical infrastructures.

While the framework in this study was obtained through a robust approach, the following are the research limitations and recommended for further examination: analyzing and incorporating the impacts of economic growth; population growth; technological advancement; climate and environmental disturbances; and climate change; and applying the framework in assessing the risks to natural environments such as in agricultural areas, forest protection and production areas, biodiversity conservation areas, natural heritage sites, watersheds or river basins, parks and recreation areas, coastal regions, etc.

This study provides a tool for high level analyses and identifies adaptation strategies to enable urban communities and critical infrastructure industries to better prepare and mitigate future flood events. The disaster risk reduction measures and climate adaptation strategies to increase urban community and critical infrastructure resilience were identified in this study. These include mitigation on areas of low flood risk or very high climate adaptation capacity; mitigation to preparedness on areas of moderate flood risk and high climate adaptation capacity; mitigation to response on areas of high flood risk and moderate climate adaptation capacity; and mitigation to recovery on areas of very high flood risk and low climate adaptation capacity. The implications of integrating disaster risk reduction and climate adaptation strategies were further examined.

The newly developed spatially explicit analytical technique, identified in this study as the Flood Risk-Adaptation Capacity Index-Adaptation Strategies (FRACIAS) Linkage/Integrated Model, allows the integration of flood risk and climate adaptation assessments which had been treated separately in the past. By applying the FRACIAS linkage/integrated model in the context of flood risk and climate adaptation capacity assessments, the authors established a framework for enhancing measures and adaptation strategies to increase urban community and critical infrastructure resilience to flood risk and climate-related events.

Information on the impact of flooding is fundamental to mitigating flood risk in residential property. This paper aims to provide insight into the seller disclosure of flood risk and buyer behaviour in the absence of mandated seller disclosure.

This paper adopts a case study approach to critically evaluate the matrix of flood information available for buyers purchasing residential property in Brisbane, Queensland. This paper uses big data analytic techniques to extract and analyse internet data from online seller agents and buyer platforms to gain an understanding of buyer awareness and consideration of flood risk in the residential property market.

Analysis of property marketing data demonstrates that seller agents voluntarily disclose flood impact only in periods where a flooding event is anticipated and is limited to asserting a property is free of flood risk. Analysis of buyer commentary demonstrates that buyers are either unaware of flood information or are discounting the risk of flood in favour of other property and locational attributes when selecting residential property.

This research suggests that improved and accessible government-provided flood mapping tools are not enhancing buyers’ understanding and awareness of flood risk. Accordingly, it is recommended that mandatory disclosure be introduced in Queensland so that buyers are more able to manage risk and investment decisions before the purchase of residential property.

This paper contributes to existing literature on raising community awareness and understanding of natural disaster risks and makes a further contribution in identifying mandatory disclosure as a mechanism to highlight the risk of flooding and inform residential property purchasers.

The purpose of this paper is to focus on the large-scale flood response coordination across sectors and jurisdictions, investigating the characteristics and gaps of the 2011 Thailand flood response operations.

The large-scale flood response coordination was measured as an inter-organizational network. An extensive content analysis of news reports was conducted to identify the participating organizations and relationships among them that emerged during the initial flood response operations. Social network analysis was used to examine the patterns and gaps of coordination among the organizations.

The research identified three major gaps that might weaken the response coordination. First, the coordination structure was highly fragmented with many isolated actors. Second, the benefit of inter-sector relationships was not well leveraged in the system due to weak reciprocal relationships across sectors. Third, provincial level organizations did not serve as a strong liaison between local actors (cities) and national actors.

Based on the findings, the research offers suggestions to improve the performance of response coordination in recurring flood disasters.

This study is distinctive in its examination of structural characteristics of large-scale, inter-sector and multi-jurisdictional flood response coordination in Thailand. Previous studies have explored how citizens were organized and responded to flood disasters at the local level, and measured indicators or causes of response resilience at the provincial level system. Yet, studies examining the patterns of coordination structure among response organizations across all affected-jurisdictional authorities and sectors have been lacking.

Kuala Lumpur, the capital of Malaysia, is exposed to several natural hazards, among which flash floods are most common and frequent. Expanding development and higher intensity of rainfall are the primary causes of flash floods. As the urbanisation is growing, the number of exposed properties, people and business premises are also increasing. This may have a detrimental impact on the socio-economic state of the city. Therefore, the purpose of this chapter is to investigate the frequency and intensity of flash flood occurrences between 2011 and 2016 and to delineate how it is impacting the urban livelihood. For this study, several news reports of flash flood events, previously published and reports were reviewed to elicit information so that the frequency and intensity of flash floods can be analysed for identifying flash flood risk areas. Along with the information from newspapers, Google map was used to identify the spatial locations of flash flood events, thus identifying the risk zones. This study found the City Centre as the most risk prone to flash floods. It was noted that 39% of flash floods occurred in this place. The Damansara-Penchala area comes in the second position with 20% of flash floods occurring in this place. Most of the people of these zones are exposed to flash flood and the affected people suffer from road blocking and heavy traffic jam. This study will help researchers and policymakers to understand the impact of flash floods in the city. This will also help to identify the most flood-prone areas of the city.

The purpose of this study is to understand through the qualitative assessment, how the current strategy plans are geared toward reducing urban flood risks and achieving Sustainable Development Goals (SDGs) 11 and 13.

The Bangkok Metropolitan Region (BMR) plays a major role in Thailand’s economic development. Thus, when the 2011 Thailand flood disaster occurred, BMR suffered major economic and social losses, which impacted the rest of the country. This mega disaster prompted policymakers, the academe and other relevant stakeholders to reevaluate and amend the current urban flood risk reduction measures and governance. The present study attempts to evaluate and compare the post-2011 Thailand flood disaster strategy and master plans, policies and reports that directly and indirectly reduce urban flood risks in the provinces of BMR. Basing on SDGs 11 and 13 targets that impact urban flood risk and resilience, a set of criteria was developed to screen, score and asses the selected documents. A screening process of three levels are conducted to limit the documents to be reviewed, and subsequent content analysis for scoring also has been done.

The projected results indicate the need for improved and increased number of localized strategic plans and policies, which are more comprehensive and integrated as risk governance documents.

Furthermore, it is projected that there is need to integrate measures to increase adaptive capacity for BMR.

This study is original, and methodology can be replicated for other urban areas for flood risks and resilience assessment.

The purpose of this paper is to examine the effect of the flood on marriages in flooded households compared to marriages in unaffected households by utilizing the 2010 Pakistani flood as a type of natural experiment.

A difference-in-difference approach is used to estimate the effect of the flood on marriages in 62 flooded districts compared with those in 53 non-flooded districts by utilizing the six waves of the household level surveys data from the Pakistan Social and Living Standards Measurement, 2004-2005 to 2014-2015.

Results show that the flood decreased marriages; by 17 marriages per 1,000 individuals aged 15-50 years in flooded districts during the flood year and the effect disappeared after the flood year. The negative impact of the flood on rural marriages is significantly higher and robust.

The flood seemingly discouraged individuals in flooded districts to be engaged in long term relationship mainly due to the flood related economic and financial losses. In order to acquire and maintain individual overall well-being, sexual health in vital to maintain mental and physical health, so policy makers/humanitarian aid-providers should assist the affected adults financially or by arranging their marriages at least during the flood year. The study also suggests that the delay of marriages means the accumulation of human capital in the form of school attainment of male marriages, so younger adult should be discouraged marrying at early age.

This study contributes to the literature in the following ways: first, the study empirically investigates the impact of flood – both immediate and long term – on marriage rates by using a natural experiment. Second, it examines the relationship based on geographic location and gender. Third, it investigates the impact of natural hazards on child marriage.

The main purpose of this study is to examine the determinants of firms’ earnings management (EM) activities during natural disasters, specifically the 2011 floods in Thailand. The motivation for conducting this study is that although disasters stem from natural processes, such events affect firms’ actions, resulting in adverse economic and social outcomes.

Based on data from listed companies in Thailand and using a sample of 5,786 firm-year observations from 2008 to 2013, this study uses the differences-in-differences method to estimate the relation between earnings quality (EQ) and floods. Additionally, this study uses the same research design to observe how fast firms engage in EM, as reflected by the trends in EQ following the floods.

This study finds that firms engage in EM to increase their earnings numbers and misrepresent their performance after experiencing the 2011 floods in Thailand. The evidence is consistent with the hypothesis that natural disasters are related to EQ. In addition, this study finds that firms’ responses are observed only in the year after the floods (2012).

This study contributes to the literature on EM and quality in two ways. First, this study provides new evidence that during crisis situations such as natural disasters, firms strive to signal good news to capital markets, consistent with the market expectation hypothesis. Second, this study shows that natural disasters are as useful and equal as other exogenous shocks such as financial crises for economic research.