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Located within the seismically active Pacific Ring of Fire, California's transportation infrastructure, especially in the Bay Area, is susceptible to earthquakes. A review of current research and stakeholder interviews revealed a growing awareness of emergency preparedness among local jurisdictions and transit agencies in recent years. However, many have yet to formalize and publish their recovery plans. This study introduces an agent-based multimodal transportation simulation tool to enhance post-earthquake transportation resilience. Integrating a road network simulator with a metro system simulator, the tool employs an optimized Dijkstra-based algorithm to calculate optimal routes, travel times, and fares. A case study is conducted for the East Bay, using the simulator to gauge the impact of a compromised Bay Area Rapid Transit (BART) system. The results suggested that original BART passengers could face either longer commute times or higher costs during the recovery phase of a major earthquake without appropriate policies. Such outcomes could disproportionately burden low-income riders, affecting their mobility and overall travel time.

In the event of a wildfire, government agencies need to make quick, well-informed decisions to safely evacuate people. Small communities, such as in Marin County, with a mix of residences and flammable vegetation in Wildland-Urban Interface zones tend to lack resources to conduct evacuation studies. Consequently, this study uses a framework of wildfire and traffic simulations to test the performance of potential evacuation strategies, including reducing the volume of evacuating vehicles through car-pooling, phasing evacuations by staggering evacuation times by zone, and prohibiting street parking in four representative areas of Marin County. Results show that reducing vehicle numbers lowers the average travel time by 20%-70% and average exposure time to wildfire by 27%-60% from the baseline. Phased evacuations with suitable time intervals lower the average travel time by 13.5%-70%, but may expose more vehicles to fire in some situations. Prohibiting street parking yields varying results due to different numbers of exits and evacuees. In some cases, prohibiting street parking reduces the average travel time by over 50%, while in other cases it only reduces the average travel time by 9%, contributing little to evacuation efficiency. Altogether, Marin County may want to consider developing a communication and parking plan to reduce the number of evacuating vehicles in wildfire situations. Phased evacuation is also highly recommended, but the suitable phasing interval depends on the speed of fire spread and number of evacuees. Further, whether to establish street parking prohibition policies for a certain area depends on the number of exits and the number of vehicles on the streets.

Background: Several organizations have proposed guidelines or clinical decision tools for the management of patients with disorders of gut‐brain interactions (DGBI) affecting the lower digestive tract including irritable bowel syndrome and chronic idiopathic constipation. Such algorithms are based on sequential therapeutic trials and modifying the treatment strategy based on efficacy and adverse events. Purpose: The aims of this review are to evaluate the evidence for efficacy of second‐ and third‐line pharmacotherapies and to assess the evidence for the alternative option to manage subgroups of patients with symptoms suggestive of lower DGBI based on diagnostic tests or documented dysfunctions. The preeminent tests to identify such subgroups that present with symptoms that overlap with lower DGBI are detailed: digital rectal examination as well as anorectal manometry and balloon expulsion for evacuation disorders, detailed measurements of colonic transit, and diagnosis of bile acid diarrhea or carbohydrate malabsorption based on biochemical measurements. The review also addresses the cost implications of screening to exclude alternative diagnoses and the costs of therapy associated with the therapeutic options following an algorithmic approach to treatment from the perspective of society, insurer, or patient. Finally, the costs of the diagnostic tests to identify actionable biomarkers and the evidence of efficacy of individualized therapy based on formal diagnosis or documentation of abnormal functions are detailed in the review. [ABSTRACT FROM AUTHOR]

Disasters often require large-scale evacuations, and damage key infrastructure (e.g., power, transportation). With growing electric vehicle (EV) adoption and electrification of transportation, governments and utilities may face significant power challenges during disasters, especially during the evacuation stage. Low state-of-charge, sporadic charging infrastructure, or power outages could significantly hamper safe and effective evacuations. Yet, EVs also offer possible resilience benefits to emergency response by more easily charging electronics or sending power back to the grid through vehicle-to-grid (V2G) technology. This paper focuses on the opportunities, benefits, and drawbacks of EVs in disasters and evacuations through a systematic review of current literature, reports, and sources. Overall, this review discovered EVs show promise as modes of transportation and mobile energy supply units. However, crucial challenges such as charging infrastructure locations, upfront cost of resilience technologies, and user behavior necessitate more dedicated research to overcome shortcomings and guide more realistic implementation of benefits. [ABSTRACT FROM AUTHOR]

Following an earthquake, abnormal travel demand causes traffic congestion and poses significant problems for relief efforts. Research on post-earthquake travel demand is essential for disaster management. An effective disaster management strategy ensures achieving sustainable development goals. This study focused on this critical period and analyzed post-earthquake trip decisions. The city of Elazığ, a region not at risk of tsunami, was used as a case study. A 6.8 magnitude earthquake hit Elazığ in January 2020. After the earthquake, data from 2739 individuals were collected by a household survey conducted face-to-face. The data were segregated into two categories, depending on the earthquake's intensity. The study used a binary logit model to examine the potential factors of trip decisions after an earthquake. The results showed that 75% of participants made at least one trip within 24 h after the earthquake. It was observed that household, building-and disaster-related attributes influence earthquake survivors' trip decisions. The initial location at the time of the earthquake was the most significant factor affecting trip decisions. It was also found that individuals who experienced the earthquake outside their homes in both datasets were more likely to make a trip. Additionally, the dataset with higher earthquake intensity had more significant variables affecting the trip decision. [ABSTRACT FROM AUTHOR]

The Lumajang Regency is highly vulnerable to various natural disasters, particularly the potential eruption of Mount Semeru. In disaster response efforts, the local government needs to prepare effective and efficient evacuation routes, taking into account the magnitude of the eruption impact in the Semeru disaster-prone area. This research focuses on evacuating vulnerable residents using electric and conventional vehicles. This study is categorized as a vehicle routing problem with energy constraint (VRPEC) because the electric vehicles utilized in this research do not require recharging during their operational process, ensuring rapid evacuation as it is essential. By utilizing Geographic Information Systems (GIS)-based optimization, the best route to evacuate all victims within 12 h is determined. This study involves developing scenarios considering the number of vehicles and their travel distances. There are also evacuation guidelines, including the implementation of priority points and evacuation zone usage. The research results indicate that scenarios EV 5, 8, and 10 are the most optimal for using electric vehicles. Meanwhile, the optimal scenario for conventional vehicles is scenario 5. This analysis shows that implementing electric vehicle scenarios is superior to conventional vehicle scenarios in terms of the total time required to evacuate all victims. [ABSTRACT FROM AUTHOR]

Gestational trophoblastic disease (GTD) refers to a group of pregnancy-related tumors that are recognized as the most curable gynecologic malignancies. Diagnosing GTD can be challenging, particularly after a non-molar pregnancy, due to its various presentations, which may mimic retained products with hypervascularity or arteriovenous malformation. Human chorionic gonadotropin (HCG) serves as an excellent biomarker for monitoring disease progression, response to treatment, and post-treatment surveillance. A plateaued or rising HCG level can facilitate the early detection of progression from complete or partial hydatidiform mole to GTD. Here, we present a case series involving six patients with GTD who initially presented with elevated beta-HCG levels and abnormal bleeding. Of these six patients, five were initially diagnosed with hypervascular retained products following a first-trimester abortion and underwent surgical evacuation. However, due to persistently elevated beta-HCG levels and evidence of myometrial invasion, the diagnosis was later revised to GTD. All patients were successfully managed with chemotherapy. Methotrexate, as a first-line treatment, is effective in achieving complete remission in most non-metastatic and low-risk cases. It has minimal severe toxicity, excellent cure rates, and does not appear to affect fertility. In summary, gestational trophoblastic diseases represent a diagnostic conundrum for clinicians due to their diverse presentations and potential for mimicking other conditions. Nevertheless, when these diseases are identified and managed in a timely manner, the prognosis is highly favorable, underscoring the importance of vigilant monitoring and early intervention. [ABSTRACT FROM AUTHOR]

Accurate assessment of crowd evacuation inside the post-earthquake environment is critical from many perspectives, but this issue receives much less attention compared to the seismic losses of structural and non-structural components. This could be attributed to the fact that post-earthquake evacuation analysis is complex due to the interaction between human behavior and the actual built environment induced by different building contents. This study attempts to tackle this problem by investigating the impacts of different building contents on post-earthquake evacuation time by using an agent-based model that considers turning behavior. To this end, the agent-based model is first described, including: properties of the agent-based model with turning behavior, key aspects in its formulation considering different evacuation stages, and influence of different building contents (namely, debris from partition walls and ceiling systems, and various types of equipment) on the agent's behavior. Subsequently, a school building is used as a benchmark problem to validate the model without earthquake, and the findings indicate that the agent-based model can match the real safety drill results reasonably well. After the validation, the school building is subsequently designed in accordance with modern seismic design codes, and the influence of debris and equipment on post-earthquake evacuation time is quantitatively studied using a suite of pulse-type ground motions as input. Based on this case study, recommendations are made for structural and architectural designers in an effort to reduce the potential evacuation time. Specifically, debris induced by partition walls or ceiling systems should be controlled as it has the greatest impact on the total evacuation time. [ABSTRACT FROM AUTHOR]

This study analyzes the impact of the standards determined within the Turkish "Regulation on Fire Protection of Buildings" scope on evacuation time. The evacuation performance of assembly-purpose structures was measured within the limitations imposed by the regulation. Three classes of assembly-purpose structures were analyzed, including the definition of the highest user load in the regulation. Scenarios A, B, and C, consisting of 230 sub-scenarios with varying user numbers, were created, resulting in a total of 690 different sub-scenarios being analyzed. The scenarios were analyzed using the Pathfinder program. The findings indicate that the user load is a decisive factor in evacuation time. Additionally, the exit width per person specified in the regulation was observed to be larger than necessary to maintain the same conditions. Minimum Required Safe Egress Time (RSET) values were determined for the three different assembly structures with the highest user load definition in the regulation within a fire regulation-compliant building. It was concluded that the exit capacity should exceed the limits set by the regulation to achieve shorter evacuation times. The study's findings demonstrate the need to include performance-based definitions in future amendments to the regulation. This study emphasizes the significance of performance-based analyses to underscore that overreliance on prescriptive definitions can impose limitations during the design process, negatively affecting efficiency. [ABSTRACT FROM AUTHOR]

In 2009, the International Building Code (IBC) introduced a new requirement for an additional exit stair or evacuation elevators in buildings (except residential buildings) over 420 ft. (128 m) tall. This new requirement has emerged as a critical innovation in occupant evacuation in supertall buildings, offering the potential for faster egress during emergencies. In the 2018 edition of the IBC, the analysis of full building evacuation with elevators is further required to demonstrate an evacuation time of less than 1 h. This paper examines the implementation of evacuation elevators in accordance with recent building code developments, such as the International Building Code (IBC), Chinese "General Code for Fire Protection of Buildings and Constructions" (GB 55037-2022), and the Korean Building Code (KBC). This study provides a comparative analysis of these regulations, highlighting the evolving acceptance of elevator-based evacuation methods. Since the requirements on means of egress in the codes in China and Korea follow similar concepts in the IBC, case studies of supertall buildings in China and Korea, where evacuation elevators were integrated into the overall egress strategy, are carried out to demonstrate the capability of evacuation elevators in achieving the IBC's requirement for full evacuation within one hour. Using computer-based egress modeling, the study evaluates practical solutions for reducing evacuation times, exploring factors such as elevator capacity, speed, and coordination with traditional stairwell egress. The results suggest that, while evacuation elevators can significantly improve evacuation efficiency, achieving the one-hour target remains a challenge in complex, high-occupancy environments. The study indicates the importance of optimizing the balance between stair and elevator usage and explores the future role of artificial intelligence (AI) in enhancing evacuation systems. [ABSTRACT FROM AUTHOR]

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The available theories of evacuation movements are primarily founded on data gathered from adults, making them potentially unsuitable for children, especially in schools. Consequently, it is necessary to undertake further research to collect data on how children move during evacuations to understand their unique characteristics and disparities compared to adults. In this context, this paper aimed to explore the movement of school children and adolescents as they moved over stairs and through exit doorways during evacuations. The evacuation drill involved 295 school children and adolescents, whose behavior was closely monitored using a series of cameras. During the drill, their movement patterns, including flow and speed, were analyzed over stairs and through doorways. The observations revealed that children exhibited frequent interactions and contact with one another, unlike adults, who tend to maintain personal space. The findings of this study indicated that the average traveling speed over stairs was comparable to previous research, although female adolescents had a lower average speed compared to other groups. The speed and flow of participants passing through doorways were found to vary depending on their age and differed from estimates based on adult data. This study highlights that existing evacuation models fall short of adequately accounting for the dynamics of children, indicating the need for further research to improve the generalizability of evacuation models. [ABSTRACT FROM AUTHOR]

This study presents a proposal for procedures and recommendations for the evacuation of people from cable cars. The proposals and procedures were carried out in a specific facility located in the east of Slovakia. Cable cars represent a certain risk of endangering the lives and health of people. This threat can be caused by technical failures, meteorological conditions, or human factors. Despite the existing safety measures, which are at a high level today, extraordinary events occur on cable cars that require the intervention of the integrated rescue system. The rescue services themselves have their own specific rescue procedures and equipment for rescuing people from heights, and in this paper the most frequently used rescue procedures and methods performed by members of the Fire and Rescue Service will be presented. This paper summarizes individual rescue actions, activities, and technical equipment used in rescuing people from cable cars, as well as an analysis of individual rescue and evacuation techniques from the Skipark Erika cable car. The result of the contribution is a proposal for coordination and an evaluation of the best and most suitable method of rescue in terms of time and safety. [ABSTRACT FROM AUTHOR]

Despite increasing wildfire severity and range, rapid development in the fire-prone Wildland–Urban Interface (WUI) has continued, and many neighborhoods are at risk of a constrained wildfire evacuation due to a high ratio of houses to community road-network exits. In Texas, Hays County is prone to fire, and rapid population growth has created a substantial WUI. Despite this, there is not sufficient research addressing neighborhood-level evacuation risks. The goal of this research, then, is to search Hays County for neighborhoods that face the highest combined risk of wildfire and potential evacuation difficulty. This research provides a limited use case wherein local decision-makers can quantify the combined risk of wildfire and constrained evacuation at the neighborhood scale by making use of standard spatial analysis techniques and publicly available datasets. The results show an alarming trend of low-egress neighborhoods in fire-prone areas within Hays County which carry the risk of a very difficult evacuation in cases when wildfire warning time is short. By using publicly available datasets and standard techniques, this research provides methods for local decision-makers across the state to identify these at-risk neighborhoods within their own jurisdictions which may aid in emergency planning and mitigation. [ABSTRACT FROM AUTHOR]

Anthropogenic hazards are unrelenting threat to lives and property, with human irresponsibility emerging as a leading source of urban as well as industrial fires. The complexity of urban structures and crowded layouts make these kinds of fires more lethal. This paper presents an Artificial Intelligence (AI) based framework designed for smart buildings as a solution to the devastating obstacles caused by fire crises. Our system creates a 3D model of the building using floor plans and the A* algorithm for escape route identification. The proposed framework includes a YOLO-based smart monitoring system for the identification and counting of people caught in a fire, with the ability to distinguish between conscious and unconscious persons. The proposed system informs inhabitants in the case of a fire and directs them to the closest exit for a safe evacuation. Moreover, fire and rescue officials receive real-time information on affected persons, such as the number and location of adults and children who are conscious and unconscious. Perhaps most significantly, the suggested framework performs exceptionally well, scoring 96% for precision and 98% for recall in the detection of fire and humans. These findings highlight the effectiveness of the model in locating people within infrastructures affected by fire. The framework considerably outperforms the most advanced algorithms in terms of speed and efficiency for shortest path detection, greatly improving the ability of fire rescue teams to quickly find and aid residents who are trapped in a fire. [ABSTRACT FROM AUTHOR]

Wildfire impacts are increasing due to the multiplicative effect of several factors, including climate change, increased vulnerability in the wildland-urban interface, and impacts of management decisions. This has also led to an increase in evacuations due to the number of wildfires and people affected. This study collected information on behaviour during wildfire evacuation to fill critical research gaps in human behaviour and evacuation knowledge. Seven videos of residents' evacuations from the 2016 Fort McMurray fire were collected from public platforms. Their routes were analyzed, and notable behavioural events were recorded. The evacuees mainly used major roads before getting onto the highway (the only route available for vehicular egress). The notable behaviours observed included using opposite lanes and driving outside of marked roads to avoid congestion. Much of the observed behaviours appeared to be motivated by the surrounding traffic or fire behaviour, further supporting the need for further studies of evacuation. [ABSTRACT FROM AUTHOR]

Effective disaster management can help mitigate both human and financial damage. However, the absence of appropriate disaster preparedness and management efforts can increase the vulnerability of international tourists to natural disasters. International tourists differ from residents and local tourists in various ways, including limited knowledge of disasters and disaster responses, use of different languages, limited access to signs, and shelter locations and evacuation routes. This study developed an agent-based evacuation model to determine the differences in evacuation behaviors among international tourists, residents, and local tourists during a tsunami. Further, it clarified the impact of both soft and hard countermeasures such as information provision and shelter capacity expansion. Our case study was conducted in the Minato Bay area in Osaka, Japan. The simulation results revealed disparities in the evacuation behaviors between international tourists and residents in the arrival times at shelters. The enhanced sign accessibility and provision of signs in multiple languages significantly reduced the arrival time of international tourists at shelters. Consequently, it is necessary to improve disaster management plans that ensure information provision in multiple languages and the establishment of temporary shelters near tourism spots to support international tourists during disaster evacuation. • Disparities exist in the evacuation behaviors of international tourists and residents. • International tourists following other evacuees take more time to reach shelters. • Enhanced sign accessibility reduces international tourists' arrival times. • Information provision in multiple languages reduces international tourists' arrival times. [ABSTRACT FROM AUTHOR]

In January 1945, the Red Army began its Vistula-Oder offensive forcing the German army to abandon many territories that it occupied west of the Vistula River. The offensive also resulted in the westward evacuation of thousands of ethnic Germans, including Mennonites, seeking refuge in the shrinking Third Reich. This paper examines the evacuation strategies and experiences of Mennonites from Deutsch Wymyschle and Gąbin, Poland during this chaotic time. It also investigates the Red Army's brutal treatment of Mennonites following their capture and during the journey back to their villages in Poland. Finally, the paper discusses the way in which Nazi authorities exploited this mass evacuation not only for their own administrative and military purposes, but also to slow down the advancing Red Army. [ABSTRACT FROM AUTHOR]

This article aims to cover a little-known chapter in the history of World War II. In the course of the brutal German occupation rule, not only forced labourers but also scientists were deported from Ukraine to Germany as war booty and forced to work for the Nazi regime. One example of this is mathematicians who arrived in the village of Ummendorf in the Upper Swabia region of southern Germany in the summer of 1943. They were specialists in aerodynamic calculations who had originally come from the Ukrainian Physical-Technical Institute (UPTI) in Kharkiv. In Ummendorf, they came across German colleagues who had been brought there from the city of Aachen, which had been hit by air raids and were deployed there by the Ministry of Aviation for research relevant to the war effort. The researchers from occupied Ukraine also subsequently worked for the Reichsluftwaffe and co-operated with the Göttingen Aerodynamic Research Institute. The research methodology is based on the principle of critical historicisation, which is committed to the principle of the greatest possible objectivity and is based on the analysis of a wide range of sources from German archives and the evaluation of relevant, predominantly Western, research literature. In summary, various conclusions can be drawn from the events described about both the scientific policy of the Nazi state and the social and socio-cultural dynamics of the time. It shows not only the interest of the Nazi regime in the expertise of specialists from occupied Ukraine and the reputation that research work at Ukrainian scientific institutes enjoyed in the racist Nazi state but also the consequences of the everyday coexistence of the scientists with the village population and the difficult situation for the former employees of the Kharkiv’s UPTI after the end of the World War II. [ABSTRACT FROM AUTHOR]

Staircase choice is one of the most critical factors leading to the difference in pedestrian flow and evacuation routes in buildings with multiple staircases. Neither the shortest path to the building exit nor the locally quickest path to the nearest staircase can represent the natural mode of evacuation path choices for an authentic evacuation simulation. Thus, a prediction-based approach is established to predict and simulate evacuation choices, which helps to address three key issues: (1) extracting evacuation data through a controlled experiment; (2) establishing a Logit model for staircase choice prediction based on experimental data; (3) developing a prediction-based cellular automaton model. The proposed approach has achieved the coupling between choice prediction and evacuation simulation. A comparison with Pathfinder software is conducted to reveal the superiority of the prediction-based CA model for simulating staircase choice. [ABSTRACT FROM AUTHOR]

On 1 January 2024, a large earthquake occurred in Japan's Noto region. Many buildings collapsed as a result of violent shaking. Electricity and water supplies were cut off, and communications were disrupted. On 5 January, four days after the earthquake, we visited Noto and conducted disaster-relief activities. This report integrates and discusses the results of the site visits, information broadcasts by public institutions, and previous research. Evacuation centers lacked water and proper sanitation, leading to health issues, including infectious diseases. Disaster Medical Assistance Teams (DMAT) were delayed in implementing infection control measures. Isolated evacuation centers faced communication and supply challenges. Infrastructure restoration, power supply, and toilet facilities at evacuation centers were delayed because of geographical challenges. It is important to have a team that can determine and carry out the necessary activities on site, even without instructions from the DMAT. It is believed to be effective to decide in advance how volunteer teams and the private sector will conduct their activities, assuming that they will be unable to contact public institutions during a disaster. In large-scale disasters, evacuees must operate evacuation centers autonomously. To achieve this, it is necessary for residents to regularly come together as a community. Systematically recording and accumulating these experiences will contribute to improved disaster prevention and mitigation planning. We hope that the experiences we obtained through the abovementioned disaster will be useful for preparing for future disasters. [ABSTRACT FROM AUTHOR]

International research attention on evacuation issues has increased significantly following the human and natural disasters at the turn of the century, such as 9/11, Hurricane Katrina, Cyclones Idai and Kenneth, the Black Saturday forest fires and tsunamis in Japan. The main problem concerning when a disaster can occur involves studying the risk reduction. Risk, following all the theoretical and experimental studies, is determined by the product of three components: occurrence, vulnerability and exposure. Vulnerability can be improved over time through major infrastructure actions, but absolute security cannot be achieved. When the event will occur with certainty, only exposure remains to reduce the risk to people before the effect hits them. Exposure can be improved, under fixed conditions of occurrence and vulnerability, by improving evacuation. The main problem in terms of evacuating the population from an area is the available transport system, which must be used to its fullest. So, if the system is well managed, the evacuation improves (shorter times), meaning the exposure is reduced, and therefore, the risk is reduced. A key factor in the analysis of transport systems under emergency conditions is the behavior of the user, and therefore, the study of demand. This work identifies the main research lines that are useful for studying demand under exposure-related risk conditions. The classification of demand models that simulate evacuation conditions in relation to the effect on the transportation system is summarized. The contribution proposes a model for updating choice in relation to emergency conditions and utility. The contribution of emerging ICTs to actualization is formally introduced into the models. Intelligent technologies make it possible to improve user decisions, reducing exposure and therefore risk. The proposed model moves within the two approaches of the literature: it is an inter-period dynamic model with the probability expressed within the discrete choice theory; furthermore, it is a sequential dynamic model with the probability dependent on the previous choices. The contribution presents an example of application of the model, developing a transition matrix considering the case of choice updating under two extreme conditions. [ABSTRACT FROM AUTHOR]

Objective In order to ensure that FAO (fully automatic operation system) can effectively guarantee the safe evacuation of passengers in case of emergency and quickly resume operations after evacuation completion, it is proposed to study the evacuation solution for FAO system based on central remote supervision and command. Method Based on the line conditions (such as evacuation platform, trackbed, etc.) and vehicle conditions (providing side door and end door two evacuation modes) that affect the safety of passenger evacuation, and targeting the safety risks that may be encountered during the passenger evacuation process (such as passengers falling, train collision, transition switch injury, third rail electric shock, etc.), the evacuation activation, evacuation recovery, as well as the FAO multi-system linkage mechanism and protection method for coupling train evacuation are designed in detail from two different application scenarios of platform evacuation and interval evacuation. Result & Conclusion Line and vehicle conditions required for the realization of FAO system evacuation function are proposed. During the evacuation process, the central dispatcher can remotely monitor and direct the evacuation of passengers through CCTV (video surveillance system), PA (broadcast system), emergency intercom and other devices. At the same time, through the ATS (automatic train supervision) system, the central dispatcher can realize the linkage control of multiple systems, such as CC (car controller), ZC (zone controller), and CI (computer interlocking), in order to ensure the safety protection and evacuation recovery of passengers when evacuating through the side/end doors of trains with different marshalling on platforms or intervals. This solution significantly improves the safety level and efficiency of evacuation.

The article considers Kuibyshev city (Samara nowadays) in the wartime (1941–1943), the features of its life activity and development. The solving of the large-scale tasks raised in connection with the unprecedented evacuation of the government departments, diplomatic body, people’s commissariats, factories and population to the city deeply changed the city life. Kuibyshev was the regionally governed city, but it performed many specific functions typical for the soviet capital city of Moscow. The circumstance gave occasion to call the city of Kuibyshev unofficially «alternate capital». The research task is to analyze the various aspects of the Kuibyshev city life in the wartime: to show the different interpretations of its status perception by the historians in 1941–1943; to specify the data concerning the specified All-Union people’s commissariats being on evacuation in the city of Kuibyshev and its quantitative composition; to raise the question of the final date of the acceptance of the «special objects» No. 1 (Stalin’s bunker) and No. 2 (for General Staff of the Red Army) of the Building of Metrostroi (Soviet subway construction company); to qualify the questions about the zoning of the city in the wartime; to cite new data about Bezymyanka district of the prewar time using comparative-historical, analytical and retrospective methods. The article introduces a new document material of the central archives of the Russian Federation into scientific discourse. It is proved that Kuibyshev was neither «alternate» nor «military» capital. It tasted the peak of its «capital city status» during 2–3 months while solving many issues of the All-Union scale and performing capital functions. The conclusion that the acceptance of the city services in the analyzed period was the rating of the city of Kuibyshev to the cities of republican subordination on 21st August 1943 is drawn.

Telemedicine technologies for transmitting digital information about the patient are presented and characterized in the practice of application at the prehospital stage for clarifying the diagnosis, correcting the measures taken, efficient logistics and routing. High diagnostic accuracy and the possibility of round-the-clock diagnostics anywhere significantly improves the quality of medical care provided.

The paper examines the process of evacuation of industrial facilities and civilian population to the territory of the Kemerovo region – Kuzbass during the Great Patriotic War. The author provides information on the number of evacuated enterprises, and also clarifies their locations before and after the relocation. The largest industrial facilities in Kuzbass are highlighted, which were created even before the start of the war and were industrial sites for the commissioning of equipment from arriving factories. The evacuation of the civilian population in most cases occurred in clear dependence on the relocation of industrial facilities. In this regard, the author raises question about the number of evacuated citizens, both in the region as a whole and in individual cities and districts. Based on these statistics, it gives the percentage of the number of evacuees to the total population. In addition, based on archival documents, the author pays attention to aspects related to the evacuation process: reception and accommodation, medical and consumer services, employment. Also, the work highlights the difficulties that evacuated citizens had to face, as well as ways to solve them.

Abstract In an emergency evacuation, the free evacuation of pedestrians can make the entire evacuation process slow and dangerous. To limit the free behavior of pedestrians and reduce the interaction between pedestrians, a reasonable layout of the guider can improve the efficiency and safety of evacuation. How to set the number, location, and exit allocation of guiders requires further investigation. In the current study, we transform the evacuation into a multi-objective optimization problem. A two-layer optimization framework is developed. In the upper level, the improved NSGA-II multi-objective algorithm is introduced to generate the favorable guider layout, and a chromosome fragment deletion operator is added to improve the optimization efficiency. In the lower layer, the agent movement simulation model is used to simulate the evacuation dynamic of crowd under the favorable guider layout. The variables of this multi-objective solution model in the upper layer are the number and location of the guiders. The evacuation time and agent movement cost are calculated by the lower layer simulation as the objective values of the solution sample, and guide the iterative search process to obtain more reasonable optimization results. The developed model is verified and then applied to a fictional scenario. The number, initial position and exit allocation of guiders are obtained by optimizing the iterative process. The results show that the near optimal solution can be applied in various visibility conditions, and the evacuation efficiency is much higher than that of unguided evacuation. This optimization framework can provide theoretical and methodological support for emergency evacuation planning.

International research attention on evacuation issues has increased significantly following the human and natural disasters at the turn of the century, such as 9/11, Hurricane Katrina, Cyclones Idai and Kenneth, the Black Saturday forest fires and tsunamis in Japan. The main problem concerning when a disaster can occur involves studying the risk reduction. Risk, following all the theoretical and experimental studies, is determined by the product of three components: occurrence, vulnerability and exposure. Vulnerability can be improved over time through major infrastructure actions, but absolute security cannot be achieved. When the event will occur with certainty, only exposure remains to reduce the risk to people before the effect hits them. Exposure can be improved, under fixed conditions of occurrence and vulnerability, by improving evacuation. The main problem in terms of evacuating the population from an area is the available transport system, which must be used to its fullest. So, if the system is well managed, the evacuation improves (shorter times), meaning the exposure is reduced, and therefore, the risk is reduced. A key factor in the analysis of transport systems under emergency conditions is the behavior of the user, and therefore, the study of demand. This work identifies the main research lines that are useful for studying demand under exposure-related risk conditions. The classification of demand models that simulate evacuation conditions in relation to the effect on the transportation system is summarized. The contribution proposes a model for updating choice in relation to emergency conditions and utility. The contribution of emerging ICTs to actualization is formally introduced into the models. Intelligent technologies make it possible to improve user decisions, reducing exposure and therefore risk. The proposed model moves within the two approaches of the literature: it is an inter-period dynamic model with the probability expressed within the discrete choice theory; furthermore, it is a sequential dynamic model with the probability dependent on the previous choices. The contribution presents an example of application of the model, developing a transition matrix considering the case of choice updating under two extreme conditions.

The article presents an analysis of fire hazard of high-rise buildings and skyscrapers. The author notes a range of factors significantly impacting on the course of emergency rescue operations, including the difficulty of evacuating people from the burning buildings (e.g., due to the rapid movement of combustion products to the roof of the building, the duration of the descent down the stairs to evacuation exits, etc.), uncertainty of toxicity (the nature of gases formed during combustion, the synergism of their toxic effect, the determination of toxic dose), difficulties in rescuing people from the upper floors of the building and in the process of extinguishing a fire (due to the lack of necessary fire equipment), as well as the behavior of people caught in a fire in the building. The inadmissibility of using «risk-analysis» in the forensic practice is emphasized, since the correct initial data (linear and mass burning rates) for its calculation is unknown. The article is intended for fire experts of the forensic institutions of various departments, investigators of the Ministry of Emergency Situations and employees of engineering organizations.

This study examines the process of evacuating Soviet automotive industry enterprises during the Great Patriotic War using the example of the Moscow Automobile Plant named after I. V. Stalin. The relevance of the research is justified by the necessity to reconstruct the activities of the highest bodies of party-state management during the industrial evacuation. Archive documents of the Evacuation Council under the People’s Commissariat of the USSR were analyzed. The Council operated from June to December 1941 as a commission under the Soviet government and was responsible for evacuating enterprises and institutions. The sources of the study were documents of the State Defense Committee of the USSR, the highest body of party-state power in the country during the Great Patriotic War. Correspondence between the plant management and various institutions and departments, as well as evacuation reports, were used as research materials. The existing evacuation options for of the Moscow Automobile Plant named after I. V. Stalin, discussions among Soviet agencies on the location of the plant in rear areas of the country were examined. Based on statistical summaries and reports, the intensity of the evacuation process and its outcomes were studied. It is concluded that the evacuation of the Moscow Automobile Plant named after I. V. Stalin contributed to preserving the country’s industrial potential and had a long-term positive impact on the development of the Soviet automotive industry.

Despite increasing wildfire severity and range, rapid development in the fire-prone Wildland–Urban Interface (WUI) has continued, and many neighborhoods are at risk of a constrained wildfire evacuation due to a high ratio of houses to community road-network exits. In Texas, Hays County is prone to fire, and rapid population growth has created a substantial WUI. Despite this, there is not sufficient research addressing neighborhood-level evacuation risks. The goal of this research, then, is to search Hays County for neighborhoods that face the highest combined risk of wildfire and potential evacuation difficulty. This research provides a limited use case wherein local decision-makers can quantify the combined risk of wildfire and constrained evacuation at the neighborhood scale by making use of standard spatial analysis techniques and publicly available datasets. The results show an alarming trend of low-egress neighborhoods in fire-prone areas within Hays County which carry the risk of a very difficult evacuation in cases when wildfire warning time is short. By using publicly available datasets and standard techniques, this research provides methods for local decision-makers across the state to identify these at-risk neighborhoods within their own jurisdictions which may aid in emergency planning and mitigation.

The aim of the article was the assessment of the spatial matching of existing shelters (supply) to the distribution of residents in Suwałki (demand), considering their declared transport behaviours while evacuating during war. The analysis was conducted based on the locations of existing emergency shelters using data on population distribution (registration data with building accuracy). Spatial alignment was determined using the P-Median problem and E2SFCA. In terms of establishing vehicular or pedestrian travel time, the Manhattan metric based on the urban road network model was utilised. A model of vehicle movement speed was then constructed, while a constant speed was assumed for pedestrian movement. Additionally, survey data on the transport behaviour of inhabitants of Suwałki in the case of war were conducted in 2023. The study concluded that the population residing within the city limits should evacuate on foot, and that prior training on the evacuation process is especially necessary for those who reside in less populated areas of the city. The analyses also showed that existing emergency shelters are overly dispersed, making management difficult for emergency services. Since the current capacity of emergency shelters is not sufficient for the number and distribution of inhabitants of Suwałki, the most practical significance of this article in this respect is to indicate to the authorities the optimal number and location for emergency shelters (to improve the evacuation process).

As urbanization progresses and the impacts of climate change become more pronounced, urban flooding has emerged as a critical challenge for resilient cities, particularly concerning urban underground spaces where flooding can lead to significant loss of life and property. Drawing upon a comprehensive review of global research on underground space flood simulation and evacuation, this paper undertakes the modelling of inundation in a substantial underground area during the extraordinary rainfall event on 7 September 2023, in Shenzhen, China. Specifically, it introduces a two-step method to simulate the coupled surface-underground inundation process with high accuracy. The study simulates the inflow processes in three types of underground spaces: parking lots, metro stations, and underpasses. Utilizing the specific force per unit width evaluation, the research examines how varying flood barrier heights influence evacuation time and inundation risk. Subsequently, the paper proposes corresponding evacuation strategies based on the obtained findings. By highlighting the vulnerability of urban underground spaces to flooding, the study underscores the urgent need for further research in this domain. HIGHLIGHTS This study conducts a systematic review of existing research findings on urban underground space inundation, categorizing them into four types.; This article employs an authentic case to simulate the water ingress process and utilizes specific force per unit width evaluation to assess the associated risks.; Tailored strategies for addressing diverse underground spaces are proposed in this paper.;

This paper investigates the possibilities of using an agent-based evacuation model to analyse the formation of queues at the exits of enclosed spaces and the evacuation process of people. The aim is to investigate how the density of people in a crowd affects the safe movement of people and how the width, number, and location of exits affect evacuation time. The analysis was carried out using the Pathfinder evacuation model, which provides two modes to simulate the movement of people: steering and SFPE. An enclosed space of 20 m × 30 m was investigated. First, the differences between the modes of the evacuation model to simulate the movement of people were compared. Then, the steering mode with limited door flow was set and the effect of the width, number, and location of the exits with a total width of 4 m on the evacuation time was investigated. The results of this study highlight differences in the simulation of the movement of people according to the different modes and provide valuable information for the design of safe escape routes. Proper design of escape routes can prevent an adverse situation that could arise when evacuating a large number of people. [ABSTRACT FROM AUTHOR]

Simple Summary: The 2017 Edgecumbe flood in New Zealand triggered the largest companion animal rescue operation in the nation's history, highlighting significant gaps in disaster preparedness for animals. This study aimed to explore the experiences of six first responders from various agencies involved in the rescue efforts. The main challenges identified included the lack of logistical planning during the initial rescue phase, the need for proper animal identification and tracking systems, and the difficulties in decontaminating and providing long-term care for rescued animals. Health and safety issues for responders were also significant, with many facing hazardous conditions and emotional stress. This study concluded that comprehensive collaborative emergency response planning is essential to address the needs of both humans and animals. The findings underscore the importance of including animals in disaster preparedness plans and ensuring that responders are adequately trained and supported. These insights are valuable for improving future emergency responses, promoting community resilience, and ensuring the welfare of animals and humans during disasters. The 2017 Edgecumbe flood in New Zealand necessitated the rescue of over 1000 animals, making it the largest companion animal rescue operation in the nation's history at the time. This qualitative study explores the experiences and perspectives of six first responders from various agencies involved in the animal rescue efforts. Through semi-structured interviews, this study identified several key themes, including challenges during the rescue phase, post-rescue issues, the impact on the human–animal relationship and wellbeing, and the health and safety of responders. The rescue phase was characterised by difficulties in evacuating and rescuing animals, the influence of the socio-zoological scale on rescue prioritisation, issues with feeding animals in place, and the diversity of species requiring rescue. Post-rescue challenges included animal identification and tracking, decontamination, management of deceased animals, and long-term impacts on animals and owners. This study also highlighted the interconnectedness of human and animal welfare during the disaster, as well as the health and safety risks faced by responders. The findings underscore the need for comprehensive collaborative emergency response planning that addresses the needs of both humans and animals, as well as the importance of ongoing efforts to build resilience and preparedness in communities. Lessons learned from the Edgecumbe flood can inform future policy, planning, and practice to enhance the effectiveness and compassion of animal-inclusive emergency management. [ABSTRACT FROM AUTHOR]

Disaster evacuation increases the risk of becoming overweight or obese owing to lifestyle changes and psychosocial factors. This study evaluated the effect of evacuation on becoming overweight during a 7-year follow-up among residents of Fukushima Prefecture during the Great East Japan Earthquake. This was a prospective cohort study. We analysed data collected from 18,977 non-overweight Japanese participants who completed the 'Comprehensive Health Checkup Program' and 'Mental Health and Lifestyle Survey', as part of the Fukushima Health Management Survey, between July 2011 and November 2012. An evacuation was defined as the moving out of residents of municipalities designated as an evacuation zone by the government or having a self-reported experience of moving into shelters or temporary housing. Follow-up examinations were conducted in March 2018 to identify patients who became overweight. Hazard ratios (HRs) and 95% confidence intervals (95% CIs) were calculated using a Cox proportional hazards regression model. Among 15,875 participants (6091 men and 9784 women; mean age 63.0 ± 11.1 years) who received follow-up examination (mean follow-up, 4.29 years), 2042 (856 men and 1186 women) became overweight. Age-, baseline body mass index-, lifestyle-, and psychosocial status–adjusted HRs (95% CIs) for becoming overweight after evacuation were 1.44 (1.24–1.66) for men and 1.66 (1.47–1.89) for women. Evacuation was associated with the risk of becoming overweight 7 years after the disaster. Thus, maintaining physical activity, healthy diet, and sleep quality and removing barriers to healthy behaviour caused by disasters, including anxiety concerning radiation, may prevent this health risk among evacuees. [ABSTRACT FROM AUTHOR]

Counter-terrorism measures and preparedness play a critical role in securing mass gatherings, soft targets, and critical infrastructures within urban environments. This paper introduces a comprehensive Decision Support System developed as part of the S4AllCitites project, designed to seamlessly integrate with existing legacy systems in Smart Cities. The system encompasses urban pedestrian and vehicular evacuation, incorporating predictive models to anticipate the progression of incendiary and mass shooting attacks, alongside a probabilistic model for threat assessment in the case of improvised explosive devices. A notable achievement of this research is the successful implementation and deployment of the system in operational environments through pilot studies. It empowers public and private security operators with real time decision support capabilities during both prevention and intervention stages of potential attacks. The decision support information provided encompasses various aspects, including optimal evacuation strategies, estimated egress times, pedestrian movement profiles, probability assessments, and the potential impact of different terrorist threats in terms of casualties. Additionally, the system offers real-time insights into the status of the traffic network under normal and unusual conditions, enabling efficient emergency management throughout its progression. This includes the ability to identify optimal intervention routes and assess the impact of anomalous traffic resulting from evacuations. [ABSTRACT FROM AUTHOR]

The natural wind velocities in tunnels under different natural conditions are distinct, and the longitudinal ventilation velocity significantly impacts the evacuation environment. This paper examines the evacuation conditions and strategies under varying wind velocities in bifurcated tunnels. Using Fire Dynamics Simulator (FDS) and Pathfinder software, the fire development and evacuation of three distinct longitudinal positions in a bifurcated tunnel are simulated. The simulation results demonstrate that the evacuation conditions for disparate fire sources at varying wind velocities are markedly disparate. In consideration of the construction cost and the maximization of evacuation capacity, the width of the evacuation doors at the three locations should be set to 2 m, 1.5 m, and 1.5 m, respectively. Furthermore, an analysis of the safety of individual personnel through Fractional Effective Dose (FED) revealed that directing evacuees towards the upstream of the fire after the fire is detected can significantly reduce individual personnel injuries while ensuring the overall success of the evacuation. [ABSTRACT FROM AUTHOR]

In recent decades, wildfires have become common disasters that threaten people's lives and assets, particularly in wildland–urban interfaces (WUIs). Developing an effective evacuation strategy for a WUI presents challenges to emergency planners because of the spatial variations in biophysical hazards and social vulnerability. The aim of this study was to map priority WUIs in terms of evacuation. The factors considered were the seriousness of the risk of wildfire exposure, and the population centres whose greatest constraints on the evacuation process stemmed from the nature of the exposed population and the time required to travel to the nearest shelter/refuge. An integrated framework linking wildfire hazard, social vulnerability, and the time taken to travel by foot or by car to the nearest refuge/shelter was applied. The study area includes two municipalities (Lousã and Sertã) in the mountainous areas of central Portugal that are in high-wildfire-risk areas and have very vulnerable and scattered pockets of exposed population. The combination of wildfire risk and travelling time to the nearest shelters made it possible to identify 20% of the WUIs that were priority areas for evacuation in the case of Sertã. In the case of Lousã, 3.4% were identified, because they were highly exposed to wildfire risk and had a travelling time to the nearest shelter of more than 15 min on foot. These results can assist in designing effective pre-fire planning, based on fuel management strategies and/or managing an effective and safe evacuation. [ABSTRACT FROM AUTHOR]

This study analyzed the unique aspects of smoke movement and control requirements in metro tunnel fires, and summarized the key scientific issues in the research of metro tunnel fires. This study reviewed the research progress and achievements of domestic and foreign scholars in various aspects including metro train fire combustion and plume behavior, smoke temperature distribution characteristics under the tunnel ceiling, smoke control characteristics, and characteristics of personnel evacuation. It highlighted the importance of integrating traditional subway section smoke control systems with new technologies such as artificial intelligence and the internet of things to enhance section fire prevention and control capabilities, which is deemed a crucial direction for future research. [ABSTRACT FROM AUTHOR]

This study examined the relationship between risk perception and evacuation behavior, and the sociospatial contexts that affect evacuation. It is argued that risk perception and contextual conditions have a joint effect on evacuation. Data were collected from 3,756 evacuees in sixteen cities and towns affected by the 2011 Tohoku earthquake off the Pacific coast. Using geographic information systems (GIS), data from questionnaires on risk perception and activity diary surveys on behavioral response were combined with geospatial data. The main finding was that high risk perception leads to evacuation behavior, but that the difference between immediate and delayed evacuation depends on the sociospatial context. Delayed evacuation, compared with immediate evacuation, tends to occur in the following contexts: (1) the physical context (e.g., being inland at the time of the disaster impact); (2) the household context (e.g., the need to confirm the safety of household members); and (3) the social context (e.g., the need for assistance with mobility). This study extends the literature on disaster science and cognitive-behavioral geography by considering the relationship between perception and behavior in urban spaces in emergencies. The findings are relevant to the development of disaster preparedness planning to minimize human losses. [ABSTRACT FROM AUTHOR]

In inertial confinement fusion, the sub-atmospheric purging through microcapillaries is of great importance to the high gas purity inside the cryogenic target and the low failure rate of experiments. In this study, a non-continuous flow model is developed for this sub-atmospheric purging process and verified through National Ignition Facility experiments to study the evolution of parameters such as pressure and gas composition that are not possible to measure directly. The effects of microcapillary structures and sizes on the transient evacuation–filling behaviors are analyzed, and the periodic purging scheme is optimized. The results show that the extension of evacuation and filling time caused by the elongated microtube can be described as a linear function of microtube length or an exponential decay function of microtube diameter, and the change of the inner diameter has a more drastic effect. The conical-straight composite can effectively reduce the evacuation and filling time while meeting the thermal and mechanical requirements. The overall performance of the purging process exhibits a strong dependence on the cycle trough pressure. The total purging time firstly decreases and then increases with the increase in the trough pressure, and the optimal trough pressure falls at around 20% of the filling pressure where the evacuation and filling times are almost evenly balanced. These results can provide theoretical guidance for the selection of microtubes and the design of the filling–evacuating scheme in the experiments. [ABSTRACT FROM AUTHOR]

This research sought to determine whether there was a direct relationship between muscle power, muscle endurance and emergency response times among young adults. While performance capability remains an essential component for emergency teams, this study showed how some physical fitness factors might alter initial emergency response time and lessen the effects of the disaster. Engagement in preparedness exercises, particularly those emphasizing physical activity, offers advantageous health outcomes and enhances disaster response efficacy. These improvements in readiness directly impact the overall outcomes of such disasters. The sample consisted of 21 students, comprising both male and female participants of the same age. Following the American College of Sports Medicine's (ACSM) Exercise Preparticipation Health Screening Questionnaire for Exercise Professionals, the participants were separated into two groups: the physically active group and the physically inactive group. The study's main objective was to determine whether muscle power and muscle endurance of the participants could influence their fire emergency response movement time to a safe location. Additionally, the study sought to find out whether physically active participants responded more quickly than physically inactive ones. The findings of this study indicate a relationship between emergency response time and measurements of muscle endurance and muscle power. Participants who were physically active had shorter movement time to safe location (p = 0.023), performed better on the standing broad jump test (p = 0.001), and muscle endurance test (p = 0.004). Although performance ability is a key component for emergency teams, this study demonstrated how some factors of physical fitness can affect initial emergency response time and help mitigate the effects of the disaster in young adults. [ABSTRACT FROM AUTHOR]

IntroductionRelocation after a disaster often has negative health effects on vulnerable people, particularly older adults. However, little is known about the number of repeated evacuations and relocations after disasters among those experienced disaster-related deaths. This case series aimed to summarize the secondary problems and mortality risks in patients involved in relocation after disasters.MethodsWe analyzed and summarized the data on 520 disaster-related deaths in Minamisoma City, a municipality near the Fukushima Daiichi Nuclear Power Plant, focusing on the number of relocations. Herein, we describe the cases of three individuals over 80 years old, who died after eight or more relocations, which were certified as disaster-related deaths.ResultsWe discuss following three cases, which are (1) a female patient in her 90s who had a stroke and was completely disabled, (2) a female patient in her 80s whose cancer was detected later due to her failing to see her family doctor, and (3) a male patient in his 80s whose regular postoperative treatment was disrupted following cancer recurrence.DiscussionOur findings indicate that evacuation led to the worsening of chronic diseases and eventually to post-disaster death. Prolonged wide-area evacuation and repeated relocation likely interrupted the continuum of care and led to the failure of adequate care provision. To reduce the loss of human life, it is necessary to review the number of wide-area evacuations and relocations over the medium to long term after large-scale disasters, including nuclear disasters, which may occur in the future. Simultaneously, it is important to establish a medical system at the evacuation site so that disaster victims can continue to receive medical care even after evacuation or relocation.

The prevalence of infectious diseases and rapid population expansion has increased the number of medical facilities. Due to the patients' limited mobility, these hospitals are more susceptible to fire disasters. Both Pathfinder and Fire Dynamic simulators were used to calculate the required safe evacuation time (RSET), heat release rate, visibility, temperature, CO, and oxygen effects on temperature, and available safe evacuation time (ASET). The safety egress of the medical hospital was then evaluated by comparing the available safe evacuation time (ASET) and required safe evacuation time (RSET). The simulation findings showed that the egress guides depend on delay time when delay time increases the egress guides drop. We also studied the importance of egress route decisions and suggested that at least 20 to 30 egress guides be on duty in the medical facility. The safety criteria for the medical facility have been proposed based on the delay time with the normalized egress guides. The high oxygen concentration in a hospital can put the medical staff and patients in danger and limit the required safe egress time to less than 150s. The proposed measures can be used to assess the evacuation safety of a typical medical hospital in use relatively quickly and efficiently.

One of the most important purposes of installing fire alarm systems is to provide an alarm signal in the protected building in the event of a fire. Fire alarms are most often provided by networked audible warning devices. The signal must be easily and quickly detectable and identifiable so that the occupants inside can start to escape after the alarm has been sounded. This is apparently a simple expectation, but if you look at the efficiency of fire alarms as a whole, and the effects that determine whether an evacuation will occur in response to an alarm during an actual fire, the question is not so simple anymore. In this article, we will examine the circumstances that may affect the alarm signal. Among these aspects, we will focus on the soundproofing properties of building structures, including interior doors, and their effect on sound propagation. By carrying out on-site measurements, we verify the design principles used in engineering practice, looking for the factors that may influence efficiency of the fire alarms in today’s construction environment. We hypothesise that the increase in sound insulation of certain building materials and structures has an increasingly negative effect on the audibility of fire alarm signals.

The article discusses the challenges of disaster evacuation in the high-density urban neighborhood of Kampung Code in Yogyakarta, Indonesia. The rapid urbanization along riverbanks in the area has led to increased vulnerability to flooding and other environmental hazards. The study aims to identify the characteristics and challenges of circulation routes for supporting disaster evacuation in riverbank settlements like the Kampung Code. The research uses a mixed-methods approach, including surveys, interviews, and observations, to gather data using a town-watching approach. The article emphasizes the importance of understanding the specific characteristics of space in these areas to enhance community resilience and disaster recovery. The study occurred in Kampung Jogoyudan, one of the most populated areas along the Code River, and serves as a model for understanding and addressing evacuation challenges in other high-density urban environments.

People with disabilities are among the most vulnerable groups in building fires. According to the U.S. Fire Administration, an estimated 700 home fires involve people with physical disabilities each year. In parallel, the National Fire Protection Association estimates that 11% of civilian fire deaths were people with disabilities. Despite these statistics, the current body of literature shows few studies focused on the evacuation of disabled people. To bridge this knowledge gap, this paper presents findings on the evacuation processes of wheelchair users in a low-rise apartment (dormitory) building. More specifically, we simulate 1–3 wheelchair users in a dormitory building at our home institution via 327 simulations to examine evacuation time as well as identify structural aids and barriers. As a byproduct of this research, a new dynamic structural ranking system of egress components is proposed for wheelchair users, and a series of suggestions for structural modifications to improve the egressibility of the simulated building are provided.