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Responding to emergency incidents by emergency response organizations such as fire, ambulance and police during large disaster and emergency events is very important. The purpose of this paper is to provide some insights into response patterns during the 2013 ice storm in the city of Vaughan, Ontario, Canada, using temporal and spatial analyses.

The City of Vaughan Fire and Rescue Service data set containing all responses to fire and other emergency incidents from January 1, 2009 to December 31, 2016 was used. The 2013 Southern Ontario ice storm occurred from December 20, 2013 to January 1, 2014, and, for this study, December 20–31 is considered the “study period.” Temporal, spatial and spatiotemporal analyses of responses during the study period are carried out and are compared with the same period in other years (2009–2012 and 2014–2016).

The findings show that temporal patterns of response attributes changed significantly during the 2013 ice storm. Similarly, the spatial pattern of responses during the 2013 ice storm showed some major differences with other years. The spatiotemporal analyses also demonstrate significant variations in responses in the city during different hours of the day in the ice storm days.

This study is the first study to examine the spatiotemporal patterns of responses made by a fire department during the 2013 ice storm in Canada. It provides some insights into the differences between response volumes, temporal and spatial distributions during large emergency events (e.g. ice storm) and normal situations. The results will help in mitigating the number of responses in the future through public education and technological changes. Moreover, the results will provide fire departments with information that could help them prepare for such events by possible reallocation of resources.

The purpose of this study is to examine people’s preferences for some of the key attributes of emergency shelters, including type, privacy level, location, spatial arrangement and pet-friendliness.

Choice experiment (CE) method was used in this study. A standard CE questionnaire was designed and completed by a sample of 293 residents of the Greater Toronto Area, Ontario (Canada), during the winter of 2015.

When using publicly provided shelters, people prefer to stay in hotels, places of worship and then community shelters, in that order. These findings correspond to the values that they place for various attributes through the CE survey. Findings show that responders place the highest values for emergency shelters that provide more privacy, located close to their home, and are pet friendly. Type of shelter and the “arrangement” attributes were not found to be as important and valuable.

This study uses a convenient sampling method as such may not fully represent the study population.

Emergency shelter provision by local, regional and national governments cost significant amount of money and thus it is important that the society get the maximum benefit from it. This will be possible when users’ preferences are considered in planning, design, and operation of emergency shelters. The findings enable emergency managers to perform cost-benefit analysis an increase the efficiency of emergency shelters.

While previous studies have examined emergency-shelter types, characteristics and user-satisfaction levels, this is a novel study because it uses a choice experiment method to extract monetary values for key emergency-shelter attributes.

The objective of this study is to investigate the role of blockchain in reducing the impact of barriers to humanitarian supply chain management (HSCM) using a list of blockchain benefits.

A decision aid was used to explore the suitability of blockchain in humanitarian supply chains. To achieve that, first, a list of barriers to HSCM was identified. Then, the intuitionistic fuzzy decision-making trial and evaluation laboratory (IF–DEMATEL) method was utilized to determine the relationships and the level of interdependencies among the criteria. Finally, the intuitionistic fuzzyanalytic network process (IF–ANP) technique was employed, as it successfully handles dependencies among the criteria.

The findings of this study suggest that interorganizational barriers are the most suitable ones, the impacts of which blockchain may alleviate. This study further suggests that trust turned out to be the most significant benefit criterion for the analysis.

The readers should construe the findings of this study with caution since it was carried out using the data collected from the experts of a particular country. Moreover, the proposed decision aid contemplates a limited set of criteria to assess a possible role of blockchain in overcoming the barriers to HSCM.

The findings of this study can assist humanitarian supply chain managers to make more judicious assessments on whether they implement the blockchain in humanitarian supply chain operations. Specifically, this research may help decision makers to identify the certain barriers, the impact of which may be reduced by using the blockchain. The findings of this research will also help various decision makers make more rational decisions and allocate their resources more effectively.

To the best of authors’ knowledge, no single study exists to investigate the role of blockchain in reducing the impact of barriers to HSCM using an intuitionistic fuzzy multi-criteria decision-making approach.

The objective of this study is to assess quantitatively how feasible blockchain is for various industries, such as logistics and supply chain, health, energy, finance, automotive, pharmaceutical and agriculture and food using a comprehensive list of indicators.

A decision aid was applied to the problem of identifying the feasibility of blockchain in Turkish industries. To this end, first, a set of indicators was identified. Then, the fuzzy AHP and fuzzy TOPSIS were utilized to assess the feasibility comparatively using the data gathered from a group of experts. Finally, a scenario analysis was conducted to ensure the consistency of our evaluation.

The findings of this study suggest that comparatively, logistics and supply chain, finance and health industries are the most feasible industries for blockchain. This study further suggests that blockchain is the least feasible for the automotive industry compared to the rest of the identified industries.

It is cumbersome to find out the respondents who have sufficient knowledge of both blockchain and the identified industries. Even if we took the utmost care in identifying the right respondents, we limited our search to the biggest industrial hubs of Turkey.

The findings of this research may help various decision-makers employed in governments, conglomerates, software and consulting firms and national research institutions make more informed decisions and allocate their resources more effectively.

To this date, the current studies have solely investigated possible research opportunities in blockchain and demonstrated several blockchain applications in stand-alone cases. To the best of our knowledge, however, no single study exists that evaluates the feasibility of blockchain comparatively and holistically among a group of industries using various indicators.

The COVID-19 pandemic has changed many facets of urban life and operations, including emergency incidents. This study examines how COVID-19 has brought about changes in, and shifting patterns of, emergency incidents in the City of Vaughan, Ontario, Canada. This study aims to derive insights that could potentially inform planning and decision-making of fire and rescue service operations as further stages of the pandemic unfold.

Standard temporal analysis methods are applied to investigate the changes in the number and nature of emergency incidents, as recorded sequentially in the city's fire and rescue service incident report database, through various phases or waves of the pandemic and the associated public health measures that have been introduced.

The study analyses show a decrease in the number of emergency calls compared to previous reference years. Vehicle-related incidents show the highest decline, and changes in daily and hourly pattens are consistent with public health measures in place during each stage of the pandemic. The study concludes that the COVID-19 pandemic has had a significant impact on demand for emergency services provided by the fire department.

The authors believe this is the first study applying temporal analysis on a city's emergency incident response data spanning various phases/waves of the COVID-19 pandemic. The analysis may be replicated for other municipal fire services, which can generate further insights that may apply to specific local conditions and states of the pandemic.

Disaster mutual assistance (DMA) or mutual aid is a reciprocal arrangement between organizations that permits and prearranges one company to access resources from another company to recover from disaster impacts faster. As a practical tool to access response resources quickly, DMA can be an important element of an effective emergency management process, but the decision to provide (or not to provide) DMA is challenging and involves a number of factors. The purpose of this paper is to present the results of a study conducted to identify DMA decision criteria and their weights based on electricity companies operating in North America.

The authors employed a combination of Delphi and analytical hierarchy process (AHP) methods. Delphi method identified the decision criteria that should be considered before electricity utilities enact their DMA agreements. A standard AHP calculated the weights of identified DMA criteria.

In total, 11 criteria were identified and classified into three main groups: responding criteria, requesting criteria and disaster criteria. Of the 11, “Emergency Conditions” within the responding criteria group, “Extent of Damage” of the requesting criteria group, and “Size of Disaster”, associated with the disaster criteria group, had the highest weight. Three other factors (“Work Safety Practice”, “Natural Hazards” and “Availability of Resources”) carried a noticeable weight difference, while the remaining factors were weighted relatively lower.

At present, a decision to provide mutual assistance is highly subjective, based on “gut feel”, and dependent on interpersonal relationships between the requestor and the provider. However, mobilizing and dispatching electricity industry crews is a risky and costly operation for both requesting and responding companies and requires careful assessment for which a cost-benefit threshold has not been developed. This cost-benefit perspective is often frowned upon owing to the intended altruistic nature of DMA agreements and its influence on decision makers. The developed criteria in this study are intended to assist electricity companies in making a more informed and quantifiable decision when deliberating a request for mutual assistance. These criteria may also be used by assistance-requesting companies to better identify electricity companies that are more likely to provide assistance to them.

This study contributes to the literature by examining the current state of DMA in electricity utilities, identifying decision criteria and weighing such criteria to enable electricity companies in making more objective decisions, thereby, increasing the overall effectiveness of their disaster management process.

This study aims to examine the impacts of temporary housing on housing reconstruction after disasters using data collected after the December 2003 Bam earthquake.

A questionnaire was developed and completed by 281 disaster-impacted households living in small and large campsites and on site of damaged properties provided by government and non-government agencies. Cross tabulation analyses were carried out to analyze the data.

Results of this study show that the type of temporary housing (campsite and on property site) that had been provided to the victims has impacted the speed, quality and the overall satisfaction of the housing reconstruction.

Provision of on-site temporary housing to disaster impacted population where possible could speed up a higher quality and more satisfactory housing reconstruction.

This paper provides original research evidences for the relationship between type of temporary housing and housing reconstruction.

A feed-forward back-propagation neural network (NN) is proposed to model number of firefighters responding to different fire incidents. Such a predictor model can estimate number of firefighter personnel required to tackle new incidents. This a priori information at the time of dispatch can help saving unnecessary efforts in low-risk incidents while focussing on high-risk ones to reduce overall damages and injuries caused by the fire incidents.

A fully connected multilayer NN was adapted as the prediction model. The network was trained on a large number of fire incident records reported in Toronto area between 2000 and 2006 and then its performance was evaluated on another set of never seen records. Two types of prediction were done to model number of responding personnel: a rough category prediction and an exact number prediction.

Results obtained reported a very promising ability of this approach to model number of firefighters responding to a fire incident.

Such a model can significantly reduce uncertainties on the requirements needed for tackling a fire incident once it is reported.

This paper aims to examine people's preferences for alternative cyclone vulnerability reduction measures in cyclone prone areas of Bangladesh.

A choice experiment (CE) method has been implemented based on the pressure and release (PAR) vulnerability model. Data were collected from a sample of households in two districts of Bangladesh in winter 2008.

The results of a choice experiment (CE) method conducted in selected areas of Bangladesh prone to cyclone hazards indicated that access to resources is viewed as the most influential factor in cyclone vulnerability reduction options. Findings support the pressure and release model (PAR) of vulnerability analysis. Access to training and education and cyclone warning systems are also found to have significant impacts on households' choices of cyclone vulnerability reduction. Structural mitigation measures and access to power and decision making, though significant, were found to have the least impact.

The paper shows that the choice experiment method is a good technique for understanding people's preferences for vulnerability reduction measures.

The paper concludes with a policy recommendation for governmental and non‐governmental agencies to focus on vulnerability reduction measures that tackle the root causes of vulnerability.

This is the first time that the choice experiment method has been used for cyclone vulnerability analysis, and it provides quantitative supports for the PAR model.

The purpose of this study is to integrate and synthesize the Islamic marketing literature, understand the phenomenon and related concepts and provide suggestions for future research.

The study uses an integrative review method that emphasizes summarizing and synthesizing the previous literature related to a phenomenon.

The findings indicate the emergence of five major themes, namely, Islamic marketing and its perspectives, activities in Islamic marketing, opportunities, controversies and challenges in Islamic marketing, Islamic principles and determinants of consumers’ behavior and awareness toward Islamic products. Each of the major themes consists of sub-themes discussed in detail in the results and discussion sections.

Like other studies, this integrative literature review has some limitations. These include the methodology undertaken, the lack of explanation of inter-relationship among themes and lack of Islamic theory-based review. These limitations lead to future research directions.

Marketing managers need a thorough understanding of the Islamic standards and need to develop strategies. Further, there are inter-differences among Muslims, which need to be thoroughly understood by managers. Moreover, marketers can effectively use advertising in creating awareness and increasing demand of halal products.

This study provides an integrative review of the literature and synthesizes the Islamic marketing literature, which has not been done before.