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Understanding bottom-up approaches including local coping mechanisms, recognizing them and strengthening community capacities is important in the process of disaster risk reduction. The purpose of this paper is to address the questions: to what extent existing disaster policies in Nepal support and enable community-based disaster resilience? and what challenges and prospects do the communities have in responding to disaster risk for making communities resilient?

This paper is based on policy and academic literature reviews complimented by field research in two communities, one in Shankhu, Kathmandu district and another in Satthighare, Kavrepalanchowk district in Nepal. The author conducted in-depth interviews and mapped out key disaster-related policies of Nepal to investigate the role of communities in disaster risk management and post-disaster activities and their recognition in disaster-related policies.

The author found that existing literature clearly identifies the importance of the community led initiatives in risks reduction and management. It is evolutionary phenomenon, which has already been piloted in history including in the aftermath of Nepal earthquake 2015 yet existing policies of Nepal do not clearly identify it as an important component by providing details of how communities can be better engaged in the immediate aftermath of disaster occurrence.

The author conducted this research based on data from two earthquake affected areas only. The author believes that this research can still play an important role as representative study.

The practical implication of this research is that communities need to understand about risks society for disaster preparedness, mitigation and timely response in the aftermath of disasters. As they are the first responders against the disasters, they also need trainings such as disaster drills such as earthquakes, floods and fire and mock practice of various early warning systems can be conducted by local governments to prepare these communities better to reduce disaster risk and casualties.

The mantra of community-based disaster risk management (CBDRM) is community engagement, which means the involvement of local people to understand and prepare against their local hazards and risks associated with disaster and haphazard development. CBDRM approaches motivate people to work together because they feel a sense of belongingness to their communities and recognize the benefits of their involvement in disaster mitigation and preparedness. Clearly, community engagement for disaster risk reduction and management brings great benefits in terms of ownership and direct savings in losses from disasters because the dynamic process allows community to contribute and interchange ideas and activities for inclusive decision making and problem solving.

This research is based on both primary and secondary data and original in case of its findings and conclusion.

Managing disasters using modern science and traditional knowledge systems in silos has several prospects and limitations. Despite the catalyst role of the traditional knowledge in reducing the risks of disasters and adapting to climate change, this knowledge has not featured prominently in any of the existing disaster policies and disaster science. The authors demonstrate how traditional knowledge and modern science can be integrated for holistic approach of disaster risk reduction and management.

Using qualitative research method complemented by thorough literature review, this article captures traditional knowledge and practices of communities in the Narayani Basin for flood disaster risks reduction and management and shows ways to integrate traditional knowledge and modern science for holistic approach of disaster risk reduction and management.

The authors found that traditional knowledge system and practices have worked as an alternative to modern technoengineering approaches of disaster risk reduction and management and hold immense potential to contribute against disasters; therefore, this knowledge system of the communities not only needs to be recognized, conserved and documented but also is to be incorporated into efforts to formulate effective disaster management strategies and be amalgamated with the technoengineering practices for a holistic approach so that it can ensure disaster safety and security of the communities.

The authors conducted this study collecting primary data from Narayani basin only; however, the authors believe that these practices and findings of the research may still be representative.

The practical implication of this research is that traditional knowledge system needs to be integrated with technobureaucratic knowledge of disaster management, enabling to develop a more robust and holistic approach of disaster risk reduction and management.

This research documents being extinct traditional knowledge system and empowers communities by supporting them to integrate and use both traditional knowledge and modern technobureaucratic knowledge for building communities flood resilient.

This research is based on both primary and secondary data and original in case of its findings and conclusion, and no similar research contextualizing the role of traditional knowledge system in flood disaster management has been conducted in Narayani Basin of Nepal in the past.

The purpose of this paper is to reveal the importance of the order of establishment of temporary logistics hubs (TLHs) when resources (mobile storage units used as TLHs) are limited and to present the development and implementation of a methodology that determines the order of establishment of TLHs to support post-disaster decision making.

It employed a decision support system that considers multiple decision makers and subjective attributes, while also addressing the impreciseness inherent in post-disaster decision making for ordering the establishment of TLHs. To do so, an optimization model was combined with a fuzzy multi-attribute group decision making approach. A numerical illustration was performed using data from the April 2015 Nepal Earthquake.

The results showed the location and order of establishment of TLHs, and demonstrated the impact of decision makers’ opinions on the overall ordering.

The study does not discuss the uncertain nature of the location problem and the potential need for relocation of TLHs.

This methodology offers managerial insights for post-disaster decision making when resources are limited and their effective utilization is vital. The results highlight the importance of considering the opinions of multiple actors/decision makers to enable coordination and avoid complication between the growing numbers of humanitarian responders during disaster response.

This study introduces the concept of the order of establishment of TLHs and demonstrates its importance when resources are limited. It develops and implements a methodology determining the order of establishment of TLHs to support post-disaster decision making.

International humanitarian assistance usually arrives quickly following a catastrophic disaster, although it may be slower to remote locations. The international community has developed guidelines to reduce the social and cultural intrusiveness of the aid, assuring that local priorities are followed and the aid facilitates long-term recovery. However, the aid missions are under pressure to act quickly and withdraw because of the expense of operations, and thus, they are less sensitive to local culture and priorities than they might be. This chapter looks at the political context of international humanitarian assistance, including the Hyogo and Sendai Frameworks and humanitarian standards, and the experience in several catastrophic disaster responses in Asia. Levels of satisfaction with recovery, particularly housing recovery, were related to the affected communities’ participation in the decision-making process. Humanitarian aid standards also encourage attention to issues of security, displaced populations, equity in the distribution of aid, the safety of women and children, and other disaster impacts.

Seismic vulnerability evaluation of various public structures, especially school buildings, is very crucial for designing hazard mitigation initiatives in seismic prone areas. The city of Mymensingh is at great risk of earthquake because of its geographical location, geological structure and proximity to active faults. The city is famous for its ancient and renowned educational institutes that need to be evaluated for understanding the seismic performance of the building during an earthquake. This study aims to evaluate the seismic vulnerability of educational buildings of Mymensingh city using rapid visual screening (RVS) and index based approach.

RVS procedure includes field survey and secondary source assessment for evaluating structural vulnerability attributes. Analytical hierarchy process is applied to develop an index focusing on systematic attributes of vulnerability based on expert opinions. Then, a composite vulnerability map is developed combining both structural and systematic vulnerability score providing an equal weight.

This study evaluates the seismic vulnerability of 458 educational buildings of Mymensingh city and the result shows that 23.14% educational building has high, 46.29% has moderate and 26.86% has moderately low and only 3.71% buildings has the low seismic vulnerability. This study expected to be helpful in resource targeting and prioritizing seismic hazard mitigation activities for education buildings of Mymensingh city.

This study endeavors to present a comprehensive vulnerability assessment method by integrating RVS and index based approach that incorporates both structural and systematic dimensions of vulnerability. The result is expected to be helpful in the formulation of disaster prevention policy for vulnerable educational buildings and development of the earthquake-resistant building codes for the new building construction in Mymensingh city.

This study aims to help understand individual donors’ preferences over different designs of humanitarian–business partnerships in managing humanitarian operations and to help understand if donors’ preferences align with their actual donation behavior.

Choice-based conjoint analysis was used to understand donation preferences for partnership designs, and a donation experiment was performed using real money to understand the alignment of donors’ preferences with actual donation behavior.

The results show that partnering with the business sector can be a valuable asset for humanitarian organizations in attracting individual donors if these partnerships are managed well in terms of partnership strategy, partnership history and partnership report and disclosure. In particular, the study finds that the donation of services and products from businesses corporations to humanitarian organizations are preferable to individual donors, rather than cash. Furthermore, donors’ preferences are not necessarily aligned with actual donation behavior.

The results highlight the importance of presenting objective data on projects to individual donors. The results also show that donors value the provision of services and products by business corporations to humanitarian operations.

Partnerships between humanitarian organizations and business corporations are important for the success of humanitarian operations. However, little is known about which partnership designs are most preferable to individual donors and have the biggest chance of being supported financially.

The purpose of this paper is to examine the influence of technology development to public organizations and related management issues.

This paper reviews previous studies about technology development in the public sector and analyzes conceptual and managerial issues about their findings.

Three major lessons identified and analyzed are: the wide influence of technology to public management, the nature of public organizations and their environment, and the need for more research to test existing theories and develop new theories for future public management.

Discussions about theoretical and practical contributions and implications are suggested for future studies about technology application and public management.

This study aims to propose iStage, i.e. an intelligent hybrid deep learning (DL)-based framework to determine the stage of the disaster to make the right decisions at the right time.

iStage acquires data from the Twitter platform and identifies the social media message as pre, during, post-disaster or irrelevant. To demonstrate the effectiveness of iStage, it is applied on cyclonic and COVID-19 disasters. The considered disaster data sets are cyclone Fani, cyclone Titli, cyclone Amphan, cyclone Nisarga and COVID-19.

The experimental results demonstrate that the iStage outperforms Long Short-Term Memory Network and Convolutional Neural Network models. The proposed approach returns the best possible solution among existing research studies considering different evaluation metrics – accuracy, precision, recall, f-score, the area under receiver operating characteristic curve and the area under precision-recall curve.

iStage is built using the hybrid architecture of DL models. It is effective in decision-making. The research study helps coordinate disaster activities in a more targeted and timely manner.

Some studies and reports have recently suggested using blockchain technology to improve transparency and trust in humanitarian supply chains (HSCs). However, evidence-based studies to display the utility and applicability of blockchains in HSCs are missing in the literature. This paper aims to investigate the key drivers and barriers of blockchain application to HSCs and explore whether evidence could support that the application of blockchain improves transparency and trust in HSCs.

This paper puts forward a two-stage approach to explore the blockchain application in HSCs: an initial exploration of humanitarian practitioners and academicians interested in blockchain through focus group discussions; semi-structured interviews with practitioners involved at the UK Department for International Development's Humanitarian Supply Blockchain pilot project.

First, we found that main drivers include accountability, visibility, traceability, trust, collaboration, time efficiency, reducing administrative work and cross-sector partnership. Main barriers, however, are composed of engagement issues, lack of technical skills and training, lack of resources, privacy concerns, regulatory problems, pilot scalability issues and governance challenges. Second, evidence from our case study revealed the blockchain application could have added value to improve visibility and traceability, thus contributing to improve transparency. Concerning trust, evidence supports that blockchain could enhance both commitment and swift trust in the pilot study.

Our study contributes to a more understanding of added values and challenges of blockchain application to HSCs and creates a perspective for humanitarian decision-makers.

This study provides the first evidence from the actual application of blockchain technology in HSCs. The study discovered that it is still less evident in many humanitarian organizations, including medium- and small-sized nongovernmental organizations, that they engage in a direct deployment of in-house or customized blockchain-based HSC. Instead, these actors are more likely to indirectly use blockchain in HSCs through a private commercial partner.