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

Water ◽  
2020 ◽  
Vol 12 (10) ◽  
pp. 2784 ◽  
Author(s):  
Wenping Xu ◽  
Lingli Xiang ◽  
David Proverbs
Keyword(s):  
Climate Change ◽  
Empirical Studies ◽  
Back Propagation ◽  
Community Resilience ◽  
Back Propagation Neural Network ◽  
Disaster Resilience ◽  
Urban Flooding ◽  
Adaptation To Climate Change ◽  
Mitigation And Adaptation ◽  
Different Types

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.

Social Resilience, Disaster Prevention, and Climate Change: Challenges from Mexico

2010 ◽  
Vol 5 (2) ◽  
pp. 155-163 ◽  
Author(s):  
Daniel Rodríguez Velázquez ◽  
Keyword(s):  
Climate Change ◽  
Public Policy ◽  
Community Resilience ◽  
Disaster Resilience ◽  
Disaster Prevention ◽  
Social Resilience ◽  
Adaptation To Climate Change ◽  
National State ◽  
Municipal Governments ◽  
Main Challenge

Major damages associated with natural and technological hazards in Mexico occur mainly in the country’s poor and marginalized south and southeastern regions. Technical and administrative issues create some challenges in building disaster resilience into Mexico’s communities, but the main challenge lies in public policy. National, state, and municipal governments must work with different organizations to build community resilience with the objective of linking development to welfare and security. In intervention, challenges lie in consolidating programs and actions related to disaster prevention and adaptation to climate change. We suggest an agenda for promoting social resilience as a component of public policy.

scholarly journals Nature-based tourism operators’ perceptions and adaptation to climate change in Hwange National Park, Zimbabwe

2018 ◽  
Vol 42 (42) ◽  
pp. 115-127 ◽  
Author(s):  
William Mushawemhuka ◽  
Jayne M. Rogerson ◽  
Jarkko Saarinen
Keyword(s):  
Climate Change ◽  
Southern Africa ◽  
National Park ◽  
Empirical Studies ◽  
Tourism Industry ◽  
Adaptation To Climate Change ◽  
Economic Role ◽  
Change Perceptions ◽  
Hwange National Park ◽  
Adaptation Practices

Abstract Climate and weather are important resources for tourism. In particular, nature-based tourism activities and operations are largely dependent on and affected by environmental conditions and changes. Due to the significant socio-economic role of the nature-based tourism and the tourism industry, in general, in the region of southern Africa it is important to understand the dynamics between the industry and climate change. A key aspect of this understanding are perceptions and adaptation preparedness of tourism operators towards the estimated impact of climate change. There is a dearth of empirical studies on climate change perceptions and adaptation in nature-based tourism operations across southern Africa and specifically from Zimbabwe. This research gap is addressed in this article which provides an exploratory analysis of the nature of climate change adaptation practices occurring in southern Africa using evidence from Hwange National Park, Zimbabwe.

scholarly journals Facteurs affectant les stratégies d’adaptation des éleveurs aux changements climatiques: cas des parcours d'El Ouara au Sud Tunisien

New Medit ◽  
2021 ◽  
Vol 20 (5) ◽  
Author(s):  
Houda Rjili ◽  
Mohamed JAOUAD
Keyword(s):  
Climate Change ◽  
Animal Husbandry ◽  
Herd Size ◽  
The South ◽  
Economic Activities ◽  
Adaptation To Climate Change ◽  
Mitigation And Adaptation ◽  
Environmental Threat ◽  
Global Environmental ◽  
Changements Climatiques

Climate change is a global environmental threat to all economic activities, especially the livestock activity. The South of Tunisia, where animal husbandry is a fundamental element of the domestic economy, is more influenced by these negatives effects due to the arid climate. The objective of this study is to identify strategies and levers mitigation and adaptation to climate change developed by breeders on based on available factors. For this purpose, a survey conducted among 73 breeders on the rangelands of El Ouara, in the South of Tunisia. Results emerges that breeders use various adaptation strategies principally, supplementation, integration agriculture-livestock and conduct’s mode through different types such as association. The result of the model reveal that age of breeder, herd size, agricultural area, member of an association, subsidies and well ownerships are the most factors which significantly influence the adaptation choices of breeders to cope to climate change. The results proved too that adaptation to climate change was inhibited by many factors such as luck of workforce labor, lack of water and financial resources as well the degradation of the rangelands.

scholarly journals Operationalising Community Resilience to Climate Change in Developing Countries: A Grounded Delphi Method (GDM) Approach

2021 ◽  
Author(s):  
Alima Ogah ◽  
Tracey Crosbie ◽  
Theresia Komang Ralebitso-Senior
Keyword(s):  
Climate Change ◽  
Developing Countries ◽  
Delphi Method ◽  
Community Resilience ◽  
Structured Interviews ◽  
Adaptation To Climate Change ◽  
Economic Discourse ◽  
Delphi Approach ◽  
The Face ◽  
Analytical Tools

Abstract Background Climate change and its impact have taken centre stage in contemporary political economic discourse. Climate change is posing complex problems that far outweighs the solutions suggested by the conventional analytical tools used for guiding responses to major environmental challenges. This is particularly the case in developing countries like Nigeria. Unsurprisingly the concept of community resilience towards climate change has received a great deal of attention from researchers and policy makers. However, community resilience is a contested concept, which leads to disagreement about the methods of achieving it. The nature of community resilience makes the measurement of the efficiency of the policies designed to increase community resilience problematic, particularly in developing countries where limited funds must be prioritised. Methods The research presented uses a Grounded Delphi Method (GDM) to identify how experts in Nigeria define community resilience and reach a consensus on its measurement in Nigeria’s context and other developing nations. The data collection involved three rounds of Delphi with a panel of 21 experts, the first round employed semi-structured interviews, following the exploratory Delphi approach, and subsequent rounds employed online surveys. Findings: The findings indicate that there is a process of stages that communities need to go through to become resilient to climate change. These begin with coping with climate change, followed by adaptation to climate change with the final stage being transformation in the face of climate change. Twenty indicators are identified categorised under eight elements that are suitable for measuring community resilience at the different stages of this process. It is interesting to note that the experts in Nigeria who participated in the study excluded notions of transformation in their conceptualisation of community resilience illustrating a potential gap in their perceptions of the requirements for how communities can become fully resilient. Conclusion This research provides a method of prioritising specific, measurable indicators to inform policies designed to reduce the impacts of climate change by supporting community resilience in the context of developing countries with limited funding.

Review on Seaport and Airport Adaptation to Climate Change: A Case on Sea Level Rise and Flooding

2018 ◽  
Vol 52 (2) ◽  
pp. 23-33 ◽  
Author(s):  
Mark Ching-Pong Poo ◽  
Zaili Yang ◽  
Delia Dimitriu ◽  
Zhuohua Qu
Keyword(s):  
Climate Change ◽  
Sea Level Rise ◽  
Sea Level ◽  
Collaborative Work ◽  
Relevant Literature ◽  
Adaptation To Climate Change ◽  
Research Papers ◽  
Related Research ◽  
Critical Nodes ◽  
Different Types

AbstractSeaports and airports are the critical nodes of international supply chains and thus stand on the edge of social and economic disasters. They are often affected by extreme and rough weather. Comparing all climate threats, sea level rise (SLR) and storming and flooding currently present, according to the relevant literature, the most severe impact in ports and airports. This paper aims to provide a comprehensive review of seaport and airport adaptation to climate change with a focus on SLR and flooding. We have summarized all related research papers and divided them into different types and described the trend of studies. After that, the study involves a comparison to analyze the synergy between previous studies in seaports and airports and provides insights for further studies to emphasize the needs and opportunities for the collaborative work that can complement the adaptation planning of and ensure the resilience of seaports and airports.

Knowledge-driven business model innovation through the introduction of equity investment: evidence from China’s primary market

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jiali Zheng ◽  
Han Qiao ◽  
Xiumei Zhu ◽  
Shouyang Wang
Keyword(s):  
Business Model ◽  
Business Models ◽  
Learning Algorithm ◽  
Empirical Studies ◽  
Back Propagation ◽  
Back Propagation Neural Network ◽  
Business Model Innovation ◽  
Data Set ◽  
Equity Investment ◽  
Content Type

Purpose This study aims to explore the role of equity investment in knowledge-driven business model innovation (BMI) in context of open modes according to the evidence from China’s primary market. Design/methodology/approach Based on the database of China’s private market and data set of news clouds, the statistic approach is applied to explore and explain whether equity investment promotes knowledge-driven BMI. Machine learning method is also used to prove and predict the performance of such open innovation. Findings The results of logistic regression show that explanatory variables are significant, providing evidence that knowledge management (KM) promotes BMI through equity investment. By further using back propagation neural network, the classification learning algorithm estimates the possibility of BMI, which can be regarded as a score to quantify the performance of knowledge-driven BMI Research limitations/implications The quality of secondhand big data is not very ideal, and future empirical studies should use first-hand survey data. Practical implications This study provides new insights into the link between KM and BMI by highlighting the important roles of external investments in open modes. Social implications From the perspective of investment, the findings of this study suggest the importance for stakeholders to share knowledge and strategies for entrepreneurs to manage innovation. Originality/value The concepts and indicators related to business models are difficult to quantify currently, while this study provides feasible and practical methods to estimate knowledge-driven BMI with secondhand data from the primary market. The mechanism of knowledge and innovation bridged by the experience from investors is introduced and analyzed.

scholarly journals Limited potential for adaptation to climate change in a broadly distributed marine crustacean

2011 ◽  
Vol 279 (1727) ◽  
pp. 349-356 ◽  
Author(s):  
Morgan W. Kelly ◽  
Eric Sanford ◽  
Richard K. Grosberg
Keyword(s):  
Climate Change ◽  
Local Adaptation ◽  
Thermal Tolerance ◽  
Extinction Risk ◽  
Empirical Studies ◽  
Natural Populations ◽  
Adaptation To Climate Change ◽  
Isolated Populations ◽  
Tigriopus Californicus ◽  
Standing Variation

The extent to which acclimation and genetic adaptation might buffer natural populations against climate change is largely unknown. Most models predicting biological responses to environmental change assume that species' climatic envelopes are homogeneous both in space and time. Although recent discussions have questioned this assumption, few empirical studies have characterized intraspecific patterns of genetic variation in traits directly related to environmental tolerance limits. We test the extent of such variation in the broadly distributed tidepool copepod Tigriopus californicus using laboratory rearing and selection experiments to quantify thermal tolerance and scope for adaptation in eight populations spanning more than 17° of latitude. Tigriopus californicus exhibit striking local adaptation to temperature, with less than 1 per cent of the total quantitative variance for thermal tolerance partitioned within populations. Moreover, heat-tolerant phenotypes observed in low-latitude populations cannot be achieved in high-latitude populations, either through acclimation or 10 generations of strong selection. Finally, in four populations there was no increase in thermal tolerance between generations 5 and 10 of selection, suggesting that standing variation had already been depleted. Thus, plasticity and adaptation appear to have limited capacity to buffer these isolated populations against further increases in temperature. Our results suggest that models assuming a uniform climatic envelope may greatly underestimate extinction risk in species with strong local adaptation.

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