Fire safety in planning of elderly residential facilities: a case study from Korea

Byun, Nahyang

doi:10.1080/13467581.2019.1696807

Cited by 4 publications

(2 citation statements)

References 8 publications

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“…Chiu et al [12] employed a population projection model to forecast future demand for senior housing, suggesting that senior housing should be operated and managed through leasing arrangements. Byun [13] underscored the significance of safety in the planning of senior housing in South Korea, emphasizing the imperative to augment safety considerations in the planning of residential areas catering to seniors. Yang and Sui [14] examined how residential environments impact the emotional well-being of seniors, conducting an analysis that encompassed both built and social environments.…”

Section: Research On Ccrcsmentioning

confidence: 99%

Investigating the Influencing Factors of the Purchase Intention of the Continuing Care Retirement Community: A Case Study of Shenzhen

Li,

Huang,

et al. 2024

Sustainability

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China officially entered the aging society in 2000, witnessing a rapid surge in demand for senior care services. In response, the real estate industry introduced the concept of Continuing Care Retirement Communities (CCRCs). The relationship between this model and complex risks in urban security resilience encompasses various factors, including filial care, demand for senior care, and urban sustainable development. The strategic layout and planning of CCRC enhance the security resilience of urban operational systems in the face of intricate senior care risks. However, the development and operation of CCRCs have encountered the challenge of sluggish project progress, primarily due to a lack of robust purchase intention. This study investigates the factors influencing the purchase intention of CCRCs in mainland China, using the Theory of Planned Behavior (TPB) as the foundational theoretical model. Additionally, three contextual constructs (economic cost, product performance, and external stimuli) were introduced to form the initial model. Based on the initial model, six factors were identified and nine hypotheses were proposed. A questionnaire survey was conducted to collect data, and Structural Equation Modeling (SEM) analysis was employed to test the proposed hypotheses. The results indicate that consumers’ purchase intention of CCRCs is primarily influenced by product performance and subjective norms, followed by economic cost. At the same time, external stimuli have a significant indirect effect on it.

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Section: Research On Ccrcsmentioning

confidence: 99%

Investigating the Influencing Factors of the Purchase Intention of the Continuing Care Retirement Community: A Case Study of Shenzhen

Li,

Huang,

et al. 2024

Sustainability

View full text Add to dashboard Cite

show abstract

“…Solutions targeted towards individuals with sensory impairments focused on improving the evacuation path accessibility. A full list of the identified solutions is found in Table 5 [66,[70][71][72][73][74][75][76][77][78][79][80][81][82][83][84].…”

Section: Building Design Solution Articlesmentioning

confidence: 99%

Evacuation Solutions for Individuals with Functional Limitations in the Indoor Built Environment: A Scoping Review

Al Bochi,

Roberts,

Sajid

et al. 2023

Buildings

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The built environment continues to become increasingly accessible to people with disabilities, yet there remains a lack of focus on how these individuals are evacuated in emergencies. The objective of this scoping review was to survey the academic literature to identify solutions for safely evacuating individuals with functional limitations from the indoor built environment (i.e., buildings). Journal articles and conference proceedings published in the year 2002 onwards were included. Two pairs of reviewers independently evaluated 3562 articles from ten databases and identified 99 articles. The results were categorized into six main evacuation solution types: notification, wayfinding, egress, building design, strategy, and training programs. Our findings highlight the importance of tailoring solutions to the needs of individuals with different functional limitations. Future work should focus on expanding the number of solutions available for (1) emergencies beyond fires (e.g., natural disasters); (2) unique building types that may require specialized engineering considerations; and (3) a greater variety of impairments (e.g., seeing, hearing, cognitive). We also emphasize the need for more interdisciplinary work and the importance of including rescuers and rescuees in emergency preparedness discussions. These collaborations will ensure that building designs, organizational procedures, and evacuation aids complement each other to maximize safety. To our knowledge, this is the first scoping review to identify solutions for evacuating individuals with functional limitations from buildings. These findings may help inform future recommendations for new evacuation guidelines around the world.

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Smart Fire Safety Management System (SFSMS) Connected with Energy Management for Sustainable Service in Smart Building Infrastructures

Park,

Lee,

Jang

et al. 2023

Buildings

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The scale of human accidents and the resultant damage has increased due to recent large-scale urban (building) fires, meaning there is a need to devise an effective strategy for urban disasters. In the event of a fire, it is difficult to evacuate in the early stages due to the loss of detection function, difficulty in securing visibility, and confusion over evacuation routes. Accordingly, for rapid evacuation and rescue, it is necessary to build a city-level fire safety service and digital system based on smart technology. In addition, both forest and building fires emit a large amount of carbon dioxide, which is the main cause of global warming. Therefore, we need to prepare both energy and fire management to achieve carbon neutrality by 2030. In this study, we developed an AI-based smart fire safety system for efficient urban integrated management using a city-based fire safety architecture. In addition, we designed a fire management infrastructure and an energy management system for buildings. The proposal was demonstrated by building a test bed in the A building, and the AR-based mobile/web application was tested for optimized evacuation management. Furthermore, AI-based fire detection and the optimal evacuation of occupants were implemented through deep learning-based fire information data analysis. As a result, this paper presents four points for safety and energy management, and we demonstrate that the optimization of occupant evacuation ability and energy saving can be achieved. We also analyze the efficiency of the data transfer rate to prevent data communication delays by using Virtual Edge Gateway (VEG) management. In the future, we expect that the appearance of future fire and energy management buildings through this research will produce more accurate data prediction technology and the development of cutting-edge smart technology in smart city infrastructures.

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Fire safety in planning of elderly residential facilities: a case study from Korea

Cited by 4 publications

References 8 publications

Investigating the Influencing Factors of the Purchase Intention of the Continuing Care Retirement Community: A Case Study of Shenzhen

Investigating the Influencing Factors of the Purchase Intention of the Continuing Care Retirement Community: A Case Study of Shenzhen

Evacuation Solutions for Individuals with Functional Limitations in the Indoor Built Environment: A Scoping Review

Smart Fire Safety Management System (SFSMS) Connected with Energy Management for Sustainable Service in Smart Building Infrastructures

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