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Two worldwide trends in recent decades are commonly noted and sometimes linked in discussing disasters. First, the reported global cost of natural disasters has risen significantly, with a 14-fold increase between the 1950s and 1990s (Munich Re, 1999). During the 1990s, major natural catastrophes are reported to have resulted in economic losses averaging an estimated US$ 54 billion per annum (in 1999 prices) (ibid). Record losses of some US$ 198 billion were recorded in 1995, the year of the Kobe earthquake – equivalent to 0.7 percent of global gross domestic product (GDP) (ibid).

This study aims to examine peoples’ perception of climate change. It assessed their attitude, behavioural motivation for mitigating and adapting to climate change in the two capital cities of South Asia: Islamabad in Pakistan and Dhaka in Bangladesh.

This study used the quantitative research technique based on responses of 800 close-ended questions embedded in a close-ended questionnaire, which were filled-out from randomly selected sample of respondents. The primary data was analysed and presented through tabulation. For binary dependent variables, the standardised logistic coefficients were projected for more reliable estimates.

The findings reveal that the population of both capital cities have a low personal perception of climate change. Also, the dwellers of both cities have a low level of motivation to take mitigative and adaptive measures against climatic hazards. The results of the logistic regression model further indicate that the people who believe that climate change is a threat to their lives are more likely to adopt mitigative and adaptive strategies. This mostly applies to the people with a relatively higher income and education level.

This study implies to create awareness and sensitise the local community in both the capitals and beyond through information dissemination. Further, the availability of toolkits to handle emergencies remains imperative in registering attitudinal and behavioural changes to reduce the impacts of climate variability in poor localities.

This research study analysed the link between climate change mitigation and energy conservation from the societal attributes of perception, motivation, attitude and behaviour, which remains essential for community-based mitigation against climatic hazards.

Cities are both at risk and the cause of risk. The interconnectedness of urban features and systems increases the likelihood of complex disasters and a cascade or “domino” effect from related impacts. However, the lack of research means that our knowledge of urban risk is both scarce and fragmented. Against this background, the purpose of this paper is to examine the unique dynamics of risk in urban settings.

Based on literal reading, grounded theory and systems analysis, this conceptual paper presents a framework for understanding and addressing urban risk. It conceptualizes how interdependent, interconnected risk is shaped by urban characteristics and exemplifies its particularities with data and analysis of specific cases. From this, it identifies improvements both in the content and the indicators of the successor to the Hyogo Framework for Action (HFA2) that will be adopted in 2015.

While it is common to see disasters as “causes”, and the destruction of the built environment as “effects”, this paper highlights that the intricate links between cities and disasters cannot be described by a unidirectional cause-and-effect relationship. The city–disasters nexus is a bidirectional relationship, which constantly shapes, and is shaped by, other processes (such as climate change).

This paper argues that in-depth knowledge of the links between cities’ characteristic features, related systems and disasters is indispensable for addressing root causes and mainstreaming risk reduction into urban sector work. It enables city authorities and other urban actors to improve and adapt their work without negatively influencing the interconnectedness of urban risk.

This paper presents a framework for understanding and addressing urban risk and further demonstrates how the characteristics of the urban fabric (physical/spatial, environmental, social, economic and political/institutional) and related systems increase risk by: intensifying hazards or creating new ones, exacerbating vulnerabilities and negatively affecting existing response and recovery mechanisms.

The purpose of this paper is to focus on the local-level initiatives through coastal afforestation, the natural and socio-economic context of the study area (Hatiya Upazila of Noakhali District, Bangladesh) and the adaptation and DRR strategies generated through coastal afforestation in coastal Bangladesh.

Field observations, focus group discussions (FGDs), semi-structured interviews, and transects were accomplished in both the dry and wet season. Spatial database generated and land use mapping integrated social and technical investigation. Five FDG sessions with participants from different livelihood options (fishermen, farmers and social representatives) were organised and, on average, 15~18 participants participated in each participatory session.

Mangrove plantation can be used to access new land and create alternative livelihoods, which are important for local community adaptation and to reduce disaster risks. Mangrove plantations provide chances for new land management options to be developed for use in Bangladesh.

This study was conducted only at the south-central coastal district of Bangladesh. Data collection to summarise all the socio-economic issues is limited.

This paper can be used for the integration of geospatial and social research techniques to understand the community approach to fight against climate change-induced impacts.

The research is solely conducted by the authors. The conducted approach is a blend of social and technical knowledge and techniques in generating community resilience at the south-central coast of Bangladesh.

This study aims to identify the economic impact of a potential implementation of a Climatic Reserve for the Swiss predominant white grape variety (Chasselas) vinified in the AOC (controlled designation of origin) category. The Climatic Reserve would imply the possibility of harvesting an additional quantity of grapes whose commercialization in wine would be delayed until it is approved by the relevant authority.

The impact of a potential implementation of this wine supply management tool is simulated through an innovative method that combines the vector autoregressive (VAR) model to estimate the influence of the previous consumptions and productions on the current consumption and linear regression [ordinary least square (OLS) method] to estimate the price elasticity to measure the evolution of the price depending on the simulated consumption. The VAR model is based on state-level data about production, stocks, and consumption (all the channels of distribution combined), while the OLS regression for estimating price elasticity uses the retail market data (Nielsen Panel). With the sales and price variables on a monthly frequency design, the latter represents about 40% of the wine market in Switzerland.

According to simulations carried out at the level of a region from the canton of Vaud in Switzerland (2000–2018), the increase in turnover linked to the release of the Climatic Reserve would be +3.1% for the indigenous white grape variety Chasselas.

The Climatic Reserve is a wine supply management tool that could complement the existing yield restriction, which does not significantly influence the quantities sold, according to previous studies. Our paper contributes to the literature by demonstrating the economic advantage of this supply management tool to deal with the increasingly frequent climatic hazards in wine production and market. The methodology could be applied to other wine regions (contexts) or other agricultural sectors.

Purpose – The chapter explores the gender dimensions of climatic impacts in urban areas and draws lessons for cities in Africa.

Methodology – The data presented was generated through focus group discussions with female and male residents of Kasubi-Kawaala neighborhood in Kampala city as well as extensive review of relevant literature.

Findings – Climatic impacts in Kasubi-Kawaala and Kampala city at large, mainly include prolonged dry spells, erratic heavy rains, and seasonal floods, which destroy physical infrastructure, expose households to environmental health hazards, contaminate air and water sources, and lead to unprecedented spread of cholera and malaria. These climatic impacts on one hand do worsen gender inequalities across different urban sectors, while on the other such gender inequalities contribute to the intensity of climatic impacts. These are the gender dimensions of climatic impacts in urban areas that require deep examination while planning to adapt or reduce emissions.

Research limitation – The methods used to collect data were qualitative in nature and therefore no statistical data was obtained on gender inequalities and climatic impacts. But the review of different literature did enable the study gain relevant descriptive statistics on the effects of climatic change in Kampala city.

Value of the chapter – There have been studies on gender and climate change in Africa, but many of these have focused on rural settings and women in particular. This chapter provides a relational understanding on women's interface relative to men's interface with climatic impacts in Kampala with the aim of drawing lessons that can be applied to local circumstances in different African cities.

This study was conducted to assess the socio-economic implications of climate change on the three ecological regions of Lesotho. In the view that climate change is affecting agriculture, subsistence communities are at risk. The paper aims to discuss these issues.

Two villages were randomly selected from three regions of Lesotho and at least 40 households in each region. The full range of economic activities undertaken was covered to understand how climate affects the communities, and how they are. A livelihood sensitivity matrix was used to determine which resources and livelihoods are most vulnerable to different types of climatic hazards and how the different livelihood activities are impacted by different climate hazards.

A large percentage of the community (>95 percent) was aware of the changing climate and the effects on land productivity. Food crops are the most vulnerable to weather, followed by soil and livestock. Climate variables of major concern were hail, drought and dry spells which reduced crop yields.

This research is important especially to policy makers to make informed decisions in as far as climate change response strategies in Lesotho are concerned. This research thus gives a baseline on these climate change impacts on subsistence communities.

Heavy rainfall is one of the main causes of the degradation of historic rammed Earth architecture. For this reason, ensuring the conservation thereof entails understanding the factors involved in these risk situations. The purpose of this study is to research three past events in which rainfall caused damage and collapse to historic rammed Earth fortifications in Andalusia in order to analyse whether it is possible to prevent similar situations from occurring in the future.

The three case studies analysed are located in the south of Spain and occurred between 2017 and 2021. The hazard presented by rainfall within this context has been obtained from Art-Risk 3.0 (Registration No. 201999906530090). The vulnerability of the structures has been assessed with the Art-Risk 1 model. To characterise the strength, duration, and intensity of precipitation events, a workflow for the statistical use of GPM and GSMaP satellite resources has been designed, validated, and tested. The strength of the winds has been evaluated from data from ground-based weather stations.

GSMaP precipitation data is very similar to data from ground-based weather stations. Regarding the three risk events analysed, although they occurred in areas with a torrential rainfall hazard, the damage was caused by non-intense rainfall that did not exceed 5 mm/hour. The continuation of the rainfall for several days and the poor state of conservation of the walls seem to be the factors that triggered the collapses that fundamentally affected the restoration mortars.

A workflow applied to vulnerability and hazard analysis is presented, which validates the large-scale use of satellite images for past and present monitoring of heritage structure risk situations due to rain.

Living with physical hazards is an everyday issue for the people of Bangladesh because different seasons bring different kinds of uncertainties. Sometimes traditional knowledge and practices (Alam, 2007) help them to adjust to these conditions; in some occasions, these hazards turn into catastrophic disasters causing deaths and bringing unbearable damages in different sectors. In addition to the tangible damages incurred due to hazards, in most of the cases, these hazards injure the internal social organizations at different levels (for example, household, community, and institutional) and affect their assets. Thus, the community resilience is greatly weakened, which makes people susceptible to upcoming hazards. Scientists suggest that climate change-induced threats and uncertainties in the forms of erratic rainfall patterns that result in drought conditions and sometimes floods, abnormal foggy conditions, change in the wind direction and the characteristic patterns of seasons, anomalies in the temperature regimes, and the occurrence of cyclones will bring new dimensions to existing situations. These natural hazards, temperature rises, and sea level rise–induced inundations will contribute to the breakdown of the traditional systems of living; they also bring change in topographical factors (for example, flooding), biophysical factors (changes in the crop yields, runoff, risks of the spread of infectious diseases, changes in the vegetation pattern), and socioeconomic factors (per capital income, health, education, population density) (World Bank, 2001).