A dynamic emergency planning system for relocating vulnerable people to safe shelters in response to heat waves

Yazdani, Maziar; Haghani, Milad

doi:10.1016/j.eswa.2023.120224

Cited by 12 publications

(4 citation statements)

References 59 publications

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“…Other works involving individuals with disabilities include the one by Yazdani and Haghani [34], where they presented a case study in Australia for evacuating the elderly using optimization algorithms combined with behavioral training. The same authors also introduced an emergency plan for relocating vulnerable individuals to shelters in response to heatwaves, presenting a method that they tested in a set of randomly generated locations [35].…”

Section: Literature Reviewmentioning

confidence: 99%

Quick-Response Model for Pre- and Post-Disaster Evacuation and Aid Distribution: The Case of the Tula River Flood Event

Santana-Robles,

Hernández-Gress,

Martínez-López

et al. 2024

Logistics

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In humanitarian logistics, efficiently evacuating people during disasters poses a significant challenge. Comprehensive plans are essential for moving individuals from affected areas, encompassing both pre- and post-disaster phases. These plans must optimize resource usage, including public transportation, and consider those with mobility challenges. This paper focuses on evacuating and assisting individuals in temporary shelters, specifically in the Tula River region, Hidalgo State, Mexico. Despite the recurring nature of this challenge, there is a noticeable gap in the scientific literature addressing quick-response methods for decision-makers to adapt existing spaces as temporary shelters and efficiently evacuate people from risk areas. To bridge this gap, we introduce a methodology aiming to minimize evacuation and aid distribution costs. Leveraging established algorithms like integer linear programming, the model determines shelter activation, while the vehicle routing problem assesses aid delivery strategies. Our research identified optimal evacuation routes from 13 affected areas to 34 shelters and aid distribution from collection centers to affected zones. We analyzed the average evacuation times for different demand scenarios: original, increased by 10%, and decreased by 10%, considering the transport units allocated and the distances on Google Maps. This study also evaluates the costs associated with humanitarian aid distribution under varying collection strategies involving state and municipal governments.

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Section: Literature Reviewmentioning

confidence: 99%

Quick-Response Model for Pre- and Post-Disaster Evacuation and Aid Distribution: The Case of the Tula River Flood Event

Santana-Robles,

Hernández-Gress,

Martínez-López

et al. 2024

Logistics

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“…Vulnerability is another critical factor that EMs consider in their decision-making. Particularly, the evacuation of vulnerable populations [36], including but not limited to hospital patients [37] and senior citizens [38], requires careful planning by EMs. Additionally, the setting (urban vs. rural) also plays an important role in EMs' general decision-making [39].…”

Section: Evacuation Decision-makingmentioning

confidence: 99%

Understanding the Decision-Making Process for Hurricane Evacuation Orders: A Case Study of Florida County Emergency Managers

Iman,

Ge,

Klenow

et al. 2023

Sustainability

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This study aims to provide a more robust understanding of the elements involved in emergency managers’ decision-making processes when issuing hurricane evacuation orders. We used the principles of the theory of bounded rationality to formulate research questions for understanding decision-making during uncertain times (i.e., hurricane evacuation orders). We then conducted 20 semi-structured interviews with county emergency managers in Florida to understand how this decision-making process unfolds. Results showed that emergency managers consider two primary factors in their decision-making process, including fixed and random factors. Fixed factors refer to elements and information that are known to emergency managers and do not change drastically from one hurricane to another (e.g., homeless population, poor housing structure). Random factors, on the other hand, refer to elements involved in hurricane decision-making that cannot be precisely predicted (e.g., storm surge). Random and fixed factors then blend in with other elements (planning, collaboration, and information assessment) during the response phase of an emergency. The interplay among these elements can ultimately influence emergency managers’ hurricane evacuation decisions. Although the existing research has made significant strides in studying many aspects of emergency managers’ decision-making processes, there have been limited discussions about the various factors that emergency managers consider for issuing hurricane evacuation orders. Our study highlights the broader implications of information interpretation, situational uncertainty, and collaboration for emergency management organizations responsible for making decisions about hurricane evacuation orders. Using the theory of bounded rationality, this study dissects both fixed and random factors influencing evacuations. In doing so, it has the potential to assist emergency managers in developing more sustainable hurricane evacuation plans in the future.

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“…These shelters can be designed to offer shade, cooling, and protection from adverse weather conditions [20]. They serve as safe havens for vulnerable populations-such as the elderly, children, and homeless individuals-at higher risk during extreme weather events [21]. Barcelona serves as an excellent example in this regard.…”

Section: Literature Review 21 Resilience In Citiesmentioning

confidence: 99%

Resilience of Living Streets in Small and Medium-Sized Towns: A Grounded Theory Study of Yixing, China

Liu

2023

Sustainability

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In the context of the global fine-grained urban renewal initiative, living streets closely related to people’s lives have become a hot topic. This study provides a comprehensive framework for addressing prominent issues such as the limited adaptability and inability to accommodate development in living streets. It explores the value and design innovation points of incorporating resilience concepts in the renewal of living streets. Taking the living streets in Yixing, Jiangsu Province, as an example, the grounded theory approach was employed to conduct in-depth interviews and three-level coding of the data to systematically elucidate the influencing factors and implementation paths of resilience in living streets. The study reveals that the resilient development of living streets is influenced and constrained by six factors: positive values, demand factors, spatial environment, contextual factors, operation and management, and resilience characteristics. Each of these six main dimensions encompasses multiple subcategories and the factors influencing living streets’ resilience through different mechanisms. Building upon the guidance-demand-design-context-operation pathway model for enhancing the resilience of living streets in small and medium-sized towns in the Jiangnan region, the study proposes new perspectives such as correct orientation, adaptability to change, and a balance between rigidity and flexibility tailored explicitly to the enhancement of resilience in living streets. These novel perspectives contribute to the theoretical research achievements on the resilience development of living streets in small and medium-sized towns in the Jiangnan region of China to a certain extent. Furthermore, these findings hold significant implications for attaining SDG11, which emphasizes sustainable urban development.

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A dynamic emergency planning system for relocating vulnerable people to safe shelters in response to heat waves

Cited by 12 publications

References 59 publications

Quick-Response Model for Pre- and Post-Disaster Evacuation and Aid Distribution: The Case of the Tula River Flood Event

Quick-Response Model for Pre- and Post-Disaster Evacuation and Aid Distribution: The Case of the Tula River Flood Event

Understanding the Decision-Making Process for Hurricane Evacuation Orders: A Case Study of Florida County Emergency Managers

Resilience of Living Streets in Small and Medium-Sized Towns: A Grounded Theory Study of Yixing, China

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