Planning for tourist urban evacuation routes: A framework for improving the data collection and evacuation processes

Wachtel, Guy; Schmöcker, Jan-Dirk; Hadas, Yuval; Gao, Yuhan; Nahum, Oren E.; Ben‐Moshe, Boaz

doi:10.1177/2399808321994575

Cited by 11 publications

(3 citation statements)

References 41 publications

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“…In the case of a major emergency, evacuation efficiency is most important, and thus, the decision-maker should consider transporting the stakeholders from the danger area to the refuge within the shortest time 13 . However, in some cases, the situation is not an emergency or can be predicted and planned in advance 14 . For tourist evacuation existing studies on tourist evacuation focus on evacuation efficiency, such as accessibility and connectivity.…”

Section: Related Workmentioning

confidence: 99%

Visual analytics of route recommendation for tourist evacuation based on graph neural network

Zhang,

Xu,

Pan

et al. 2023

Sci Rep

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The overcrowding of scenic spots not only threatens tourists’ safety but also affects the travel experience. Traditional methods for addressing tourist overload have involved limited access and guided evacuation. While limited access has been effective, it often results in a diminished tourist experience. Moreover, the existing guided evacuation rarely considers the impact on tourists’ experience, resulting in a low willingness to cooperate and making it difficult to estimate evacuation effort efficiency. To solve these problems, this paper proposed a tourist evacuation route recommendation algorithm based on a graph neural network considering the similarity of tourism styles (PER-GCN) and designed a visualization system to simulate and analyse evacuation efficiency. First, the interaction matrix of tourists and scenic spots was constructed using graph mining to extract the high-order interaction information. In the output layer, the similarity between scenic spots and tourism styles was calculated to further improve the accuracy of scenic spot recommendations. Second, due to route complexity and the real-time carrying capacity of scenic spots, the researchers optimized the evacuation routes. Finally, taking the West Lake spot as the case study, the effectiveness of PER-GCN was verified. Additionally, a visualization system was designed to monitor tourist flow in real time and analyse tourist portraits according to the clustering results of scenic spot styles. In addition, the evacuation efficiency of scenic spots was analysed by adjusting the parameters of tourists’ willingness to cooperate, evacuation batch, and the weight of route complexity and scenic spot carrying capacity.

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Section: Related Workmentioning

confidence: 99%

Visual analytics of route recommendation for tourist evacuation based on graph neural network

Zhang,

Xu,

Pan

et al. 2023

Sci Rep

View full text Add to dashboard Cite

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“…However, there is still an ongoing debate on how the resilience of infrastructures should be improved. Several researchers have provided solutions (Wachtel et al , 2021; Kumar et al , 2021) to enhance the resilience of infrastructures to withstand disruptive events. Twumasi-Boakye and Sobanjo (2019) concluded that for engineering problems, it is preferable to use resilient-based approaches to prioritise actions to improve the infrastructure’s resilience.…”

Section: Introductionmentioning

confidence: 99%

Resilient evacuation infrastructure; an assessment of resilience toward natural hazards

Fathianpour

Jelodar

Wilkinson

et al. 2023

IJDRBE

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Purpose As evacuation is one of the most used response actions to such disasters, it is essential to understand correctly what a resilient evacuation would mean. One critical factor in evacuation resilience is the resilience level of evacuation infrastructures. Also, UN sustainable development has a goal to build resilient infrastructures. This study aims to investigate the characteristics of resilient evacuation infrastructures. Design/methodology/approach A systematic methodology for reviewing articles has been implemented to understand how vulnerable cities can be more prepared, especially for pedestrian evacuation. Findings This study has developed an evacuation scoring system framework for pedestrians to investigate evacuation infrastructure in terms of different resilience features, such as redundancy, safe-to-fail, readiness and capacity. The most practical evacuation system will be estimated. The output of this study can provide insight into a final output to provide the features of a successful pedestrian evacuation system for future policy drafting for infrastructure strategy decision-makers. Practical implications Climate change has made the risks of natural hazards such as tsunamis more intense for humans. Many people in the world live in hazardous environments and are susceptible to disasters. A community must be prepared to mitigate the destructive event and quickly respond to be called resilient. Originality/value This is an original work. The researcher has gone through a deep literature review and developed a cluster showing the features a resilient evacuation infrastructure should have.

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“…However, there is still an ongoing debate on how the resilience of infrastructures should be improved. Several researchers have provided solutions [10,12] to enhance the resilience of infrastructures to withstand disruptive events.…”

Section: Introductionmentioning

confidence: 99%

A taxonomy of pedestrian evacuation infrastructure for urban areas; an assessment of resilience towards natural hazards

Fathianpour

Jelodar

Wilkinson

et al. 2022

IOP Conf. Ser.: Earth Environ. Sci.

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Many people in the world live in hazardous environments and are susceptible to disasters. In the time of a destructive event, a resilient community must be prepared to mitigate the event and quickly respond. An effective mitigation plan can lead to fewer fatalities and damages. One of the most critical tasks for mitigation is the evacuation process. Wherein short notice time, overcrowding, bottlenecks in infrastructure and challenging terrain and topography may worsen the situation. Amongst other things, the evacuation process encompasses transportation infrastructures referred to as corridors, signs, pedestrian footpaths, and/or shelter infrastructures for keeping people safe. Evacuation infrastructure can also become damaged after the event; therefore, it’s imperative to have a robust assessment of different evacuation infrastructures. This study will investigate the characteristics of the available evacuation infrastructure and outline the general drawbacks. A systematic methodology for reviewing articles has been implemented to understand how vulnerable cities can be more prepared, especially for pedestrian evacuation. An evacuation scoring system for pedestrians will be developed to investigate evacuation infrastructure in terms of different resilience features, such as redundancy, safe to fail, readiness, capacity. The most practical evacuation system will be estimated, with a final output being to provide the features of a successful pedestrian evacuation system for future policy use.

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Planning for tourist urban evacuation routes: A framework for improving the data collection and evacuation processes

Cited by 11 publications

References 41 publications

Visual analytics of route recommendation for tourist evacuation based on graph neural network

Visual analytics of route recommendation for tourist evacuation based on graph neural network

Resilient evacuation infrastructure; an assessment of resilience toward natural hazards

A taxonomy of pedestrian evacuation infrastructure for urban areas; an assessment of resilience towards natural hazards

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