You are currently viewing a new version of our website. To view the old version click .
Sustainability
  • Article
  • Open Access

15 March 2021

Weighting the Attributes of Human-Related Activities for Fire Safety Measures in Historic Villages

,
and
1
Advanced Technology Institute of Construction Environmental Energy, Kyungpook National University, Daegu 41566, Korea
2
Real-Scale Fire Testing & Research Center, Korea Conformity Laboratories, Samcheok 25913, Korea
3
Division of Architectural and Fire Protection Engineering, Pukyong National University, Busan 48513, Korea
*
Author to whom correspondence should be addressed.
This article belongs to the Special Issue Fire Safety Technology and Human Behavioural Science for Building Sustainability

Abstract

Recently, numerous world heritage sites have burned down or suffered minor damage due to fires. As a result, the Korean government has developed active and passive fire measures in Korean historic villages. Nevertheless, fires have not been prevented, inciting the government to direct its attention toward community-based activities. This paper focuses on human-related fire safety measures and aims to identify the most efficient methods for preventing fires, as well as for minimizing damage caused by them in historic villages. It explores the preventive and response levels of residents and village organizations based on a survey of experts in the field and applies an analytic hierarchy process (AHP) to determine the weighting of the selected attributes. The study proposes that the preventive level is more important than the response level among village residents, and the response level should be prioritized over the preventive level in village organizations in order to prevent and reduce fire risk and damage in Korean historic villages.

1. Introduction

Recently, numerous world cultural heritage sites, including Notre Dame Cathedral (15 April 2019), Shirakawa Village in Japan (4 November 2019), and Shurijo Castle in Japan (31 October 2019), burned down or suffered minor damage due to fire. Hahoe Village in Andong (National Folk Cultural Property No. 122) and Yangdong Village in Gyeongju (National Folk Cultural Property No. 189), Korean historical villages registered as Korean UNESCO sites, also experienced fires. In addition to these villages, Korea contains other historical environments with the same characteristics, often referred to as traditional villages, folk villages, and historical villages.
Village residents have maintained structures and passed down traditions and beliefs to protect these heritage sites over the generations. In Korea, two historic villages have been designated UNESCO World Heritage sites: Hahoe Village in Andong (National Folklore Cultural Heritage No. 122) and Yangdong Village in Gyeongju (National Folklore Cultural Heritage No. 189). Other historic villages of the same nature that still have residents include the Old Village of Hollókő and its surroundings (Hungary), Holašovice Historic Village (Czech Republic), the Historic Villages of Shirakawa-go and Gokayama (Japan), and the Ancient Villages in Southern Anhui—Xidi and Hongcun (China) [1].
Between 2001 and 2017, 16 fire incidents occurred in Korean historic villages. As a result, the Cultural Heritage Administration implemented fire safety and crime prevention systems in 2005 to establish damage prevention facilities with advanced technologies, such as heat and smoke sensor networks [2]. However, despite such efforts, fire risks have not been completely eliminated. Thus, in March of 2017, Korea amended Article 14 of the Cultural Heritage Protection Act and established new clauses for the following areas: Formulating Policy Measures for Prevention of Fire, etc. and Conducting Education and Public Relations Campaigns (Article 14), Development of Fire Response Manuals, etc. (Article 14-2), Installation of Fire Prevention Facilities, etc. (Article 14-3), Designation of Non-smoking Areas (Article 14-4), Request for Cooperation of Related Agencies or Organizations (Article 14-5), and the Building and Managing Database (Article 14-6) [3]. Such efforts by the Korean government suggest that many fires were caused by human error, and that it has begun to direct its attention to human-related measures. Furthermore, the government changed the main paradigms of cultural heritage safety systems from protective measures to human-related proactive measures against fire.
However, thus far, no studies have been conducted to improve effective human-related fire safety measures at historical sites, especially villages. In such cases, what should the focus be to promote community-based preventive and response activities among residents and organizations? This study focuses on community-based activities, categorized by “residents” and “organizations,” and is based upon an expert survey and an analytic hierarchy process (AHP) to clarify the weighting of attributes.

3. Methods

In this study, the terms preventive level and response level are defined and presented in Table 3, and introduced as a means to improve the fire safety performance of historical villages.
Table 3. Definition of preventive and response levels.

3.1. Configuration of Items

3.1.1. Criteria

The main criteria for preventive and response levels of residents and village organizations were organized as shown in Table 4. Currently, village organizations comprise village preservation societies, operating committees, conservation consulting committees, and traditional folk advisory committees. Thus, criteria regarding preventive and responsive human-related measures were established to focus on residents and village organizations.
Table 4. Classification of criteria.

3.1.2. Sub-Criteria

The residents’ preventive level encompasses their experience in disaster prevention training, and the degree of the implementation of fire measures and of awareness of firefighting facilities. The residents’ response level includes their adherence to fire prevention practices and to fire prevention education activities.
Village organizations’ response level consists of the village fire brigade’s capability, the age of the village fire brigade, actual capability of organization members, and the village fire brigade captain’s awareness of fire prevention. Village organizations’ preventive level encompasses environmental factors such as the capability of the assembly hall, actual usage rate of the assembly hall, degree of participation of residents, and the ratio of long-term residents.

3.1.3. Sub-Attributes

For the human-related measures in historic villages, sub-attributes for the preventive and response levels of the residents and village organizations were structured as shown in Table 5. Four criteria, 13 sub-criteria, and 22 sub-attributes comprise the preventive and response levels of the residents and village organizations.
Table 5. Construction of sub-attributes for human-related measures in the constructed AHP hierarchy.

3.1.4. A Hierarchy for Priorities of Human-Related Measures for Fire Safety

Based on the above items, the following hierarchy was constructed (Figure 4). This is the first and most important task in the decision-making process using AHP. The next steps are pairwise comparisons, weight estimations, logical consistency, and weight summary.
Figure 4. Hierarchical structure of human-related fire safety measures in historic villages.

3.2. Sample Design

In the design of a pairwise comparison matrix, the relative weight of each element was derived using a 9-point scale (Figure 5). The red symbols marked in the figure were checked by the questioner. The sample size was a prerequisite for securing reliability, and in the AHP analysis with experts as the primary target, was generally approximately 5–20 people. Nine experts in the fields of cultural heritage, architecture, disaster prevention, etc., were contacted either via email or by a direct visit, with a resulting response rate of 100%. The goal of this analysis was to determine the relative importance between judgment criteria, thus, a distributive mode was utilized. The items constituting the model were evaluated 1:1 to the aforementioned criteria, a pairwise comparison matrix was configured, and the relative weights were derived by calculating the eigenvalues of the matrix.
Figure 5. A survey of pairwise comparison of evaluation.
Evaluation results regarding the selection criteria of decision participants through primary pairwise comparison indicated low logical consistencies in some criteria. In areas with low logical consistency, feedback on the results was used to review each area of inconsistency to improve the results to within 0.1, which is the threshold of the consistency ratio. The percentage of inconsistency before logical consistency checking was between 0.000 and 0.422. Accordingly, the results were fed back and the illogical aspects were reviewed one by one with the process of modification or supplementation. As a result, the logical consistency of the participants was improved, with an inconsistency ratio from 0.000 to 0.099 below 0.1.

4. Results

According to the expert opinions on the four criteria shown in Table 6, preventive level of the residents (50.9%) scored the highest, followed by response level of village organizations (20.6%), response level of the residents (18.9%), and preventive level of village organizations (9.6%). The weighting of the sub-criteria for preventive level of the residents was determined as follows: experience in disaster prevention training was the highest (72.4%), followed by degree of implementation of fire measures (15.8%), and degree of awareness of firefighting facilities (11.8%). The weighting of the sub-criteria for response level of village organizations was determined as follows: adherence to fire protection practices was the highest (78.1%), followed by adherence to fire protection education activities (21.9%).
Table 6. Ranking of human-related measures criteria, sub-criteria, and sub-attributes for fire safety in historic villages.
For the response level of village organizations, actual capability of organization members was the highest (40.5%), followed by village fire brigade capability (23.2%), village fire brigade captain’s awareness on fire protection (23.2%), and age of the village fire brigade (13.1%). For the preventive level of the village organizations, the degree of participation was the highest (36.3%), followed by actual usage rate of an assembly hall (26.9%), capability of an assembly hall (22.6%), and rate of long-term residence (14.1%).
Among the 22 sub-attributes, using firefighting facilities had the highest importance (16.8%), followed by the percentage of households participating in training (13.3%), implementation of fire measures (12.8%), installing firefighting facilities (7.9%), ratio of active members to all members (5.9%), participation rate of fire protection practices (5.5%), and identification of hazardous location identification (5.1%). The weighting of these seven sub-attributes all exceeded 5%.
Meanwhile, sub-attributes, such as the age of the village fire brigade (0.8%), the term of a captain (1.0%), and the presence or absence of fire evacuation maps (1.0%), were found to be relatively less important, with weights below 1.0%.
All four criteria ranked as the most important derived from the preventive level of the residents. The ratio of active members to all members was ranked 5th, the participation rate of fire protection practices was 6th, and the identification of hazardous locations was 7th.

5. Conclusions

All over the world, concern has increased for preserving traditional built heritage from destruction by fire. The Korean government has taken great strides in developing fire safety systems, including active and passive fire measures. Nevertheless, fires in historic villages continuously occur. Consequently, the government has focused its attention on community-based activities. However, until now, no research has explored efficient methods for preventing fires in historic villages. This paper intended to fill this gap and has:
  • focused on human-related measures in historic villages for prevention and response levels of fire measures.
  • defined the preventive and response levels of residents and village organizations.
  • evaluated a method to be used to determine the weighting of the selected attributes.
  • determined the priority criteria, sub-criteria, and sub-attributes when planning fire safety measures in historic villages.
This study proposed that the preventive level is more important than the response level in residents, and the response level is prioritized over the preventive level in organizations. In general, different types of organizations exist in historic villages. Due to advances in fire safety in such villages, government or safety designers are ranked the highest in the preventive level of individual residents, as well as in the response level of village organizations. Among the 22 sub-attributes, those ranked the highest in importance fell in the preventive level of the residents. For example, using firefighting facilities had the highest importance (16.8%), followed by the percentage of households participating in training (13.3%), implementation of fire measures (12.8%), installing firefighting facilities (7.9%). In general, if the preventive level of an individual improves, the preventive level of the village will inherently improve as well.
We conclude that education that focuses on the preventive level rather than the response level for residents, as well as the development of actual capabilities in the response level, such as fire protection action for village organizations, is essential in preventing and reducing fire risk and damage.
One important limitation of this study was, however, a lack of research conducted on living residents and existing organizations of historic villages. In addition, the availability of this method for assessing fire risk in historic villages—specifically, to rank various elements for effective fire safety design—should be improved. Clearly, further work is needed to understand the components of community-based activities necessary for fire safety in historic villages.

Author Contributions

Conceptualization, J.-H.L.; Methodology, J.-H.L., J.-H.C.; Investigation, J.-H.L., W.-Y.C.; Data curation, J.-H.L., W.-Y.C.; Validation W.-Y.C.; Writing–original draft, J.-H.L.; Writing—review and editing, J.-H.C.; Supervision J.-H.C.; Funding acquisition, J.-H.L., J.-H.C.; All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported by research funding for R&D projects by the National Fire Agency (NFA) [No. 2018-NFA002-005-01030000-2020] and the National Research Foundation of Korea (NRF) grant (No. NRF-2018R1A2B3005951 and No.2019R1A2C1004548), which was funded by the Korean government (MSIT).

Institutional Review Board Statement

Not applicable.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. United Nations Educational, Scientific and Cultural Organization Home Page. World Heritage List. Available online: http://whc.unesco.org/en/list/ (accessed on 12 October 2020).
  2. Kim, D.H.; Lee, J.H.; Yi, M.S. Development of safety equipment database for effective management in wooden cultural heritage. J. Fire Sci. Eng. 2016, 30, 46–53. [Google Scholar] [CrossRef][Green Version]
  3. Korea Legislation Research Institute, Korea Law Translation Center Home Page. Cultural Heritage Protection Act, Article 14 of Chapter III (Creating Foundation for Protection of Cultural Heritage). Available online: https://elaw.klri.re.kr/eng_service/lawView.do?hseq=33988&lang=ENG (accessed on 12 October 2020).
  4. Available online: https://en.m.wikipedia.org/wiki/Hahoe_Folk_Village (accessed on 22 February 2021).
  5. Available online: https://en.m.wikipedia.org/wiki/Yangdong_Folk_Village (accessed on 22 February 2021).
  6. Available online: https://SeongeupHistoricVillage,Jeju-HeritageSearch|CulturalHeritageAdministration(cha.go.kr) (accessed on 22 February 2021).
  7. Available online: https://WanggokVillage,Goseong-HeritageSearch|CulturalHeritageAdministration(cha.go.kr) (accessed on 22 February 2021).
  8. Available online: https://OeamVillage,Asan-HeritageSearch|CulturalHeritageAdministration(cha.go.kr) (accessed on 22 February 2021).
  9. Available online: https://HangaeVillage,Seongju-HeritageSearch|CulturalHeritageAdministration(cha.go.kr) (accessed on 22 February 2021).
  10. Available online: https://MuseomVillage,Yeongju-HeritageSearch|CulturalHeritageAdministration(cha.go.kr) (accessed on 22 February 2021).
  11. Kim, D.H.; Lee, J.H. An Experimental Analysis of Thatched-Roof Materials to Assess Fire Risk in Historical Villages. J. Korean Soc. Hazard Mitig. 2015, 15, 117–122. [Google Scholar] [CrossRef]
  12. Lee, J.H.; Kim, D.H.; Yi, M.S. A study on safety culture for enhancing local resilience in historic villages. In Proceedings of the Korean Society of Hazard Mitigation, Seoul, Korea, 16–17 February 2017; p. 145. [Google Scholar]
  13. Lee, J.S.; Lee, W.K.; Oh, K.H.; Shin, K.Y.; Kwon, H.S. A Study on the Basic Ideas for Fire Fighting Prevention System in Traditional Folk Village: Focused on Oeam Folk Village in Asan. J. Archit. Hist. 2010, 19, 71–90. [Google Scholar]
  14. Architectural Institute of Japan. Principles of Fire Safety Design; Architectural Institute of Japan: Tokyo, Japan, 2013; p. 1. ISBN 978-4-8189-2709-4. [Google Scholar]
  15. Patterson, J. Simplified Design for Building Fire Safety; John Wiley & Sons, Inc.: New York, NY, USA, 1993; p. 215. ISBN 0-471-57236-5. [Google Scholar]
  16. Lee, J.H. A Study on the Weighting of Fire Safety Attributes for Fire Risk Assessment in Historic Buildings: Focused on NakSansa. J. Korean Soc. Saf. 2012, 27, 189–196. [Google Scholar]
  17. Saaty, T.L.; Vargas, L.G. Uncertainty and rank order in the analytic hierarchy process. Eur. J. Oper. Res. 1987, 32, 107–117. [Google Scholar] [CrossRef]
  18. Cho, H.S.; Suh, H.J. AHP Analysis techniques for the weighted evaluation of Cultural Heritage Disaster Safety Management Systems. J. Korean Soc. Hazard Mitig. 2018, 18, 43–53. [Google Scholar] [CrossRef]
  19. Watts, J.M. Fire-Risk Indexing: A Systemic Approach to Building-code “Equivalency” for Historic Buildings. J. Preserv. Technol. 2003, 34, 23–28. [Google Scholar]
  20. Kwon, H.S.; Lee, J.S. A study on the fire fighting general index for fire fighting of crowded wooden building cultural asset. J. Archit. Hist. 2012, 21, 37–52. [Google Scholar] [CrossRef]
  21. Han, B.D. Disaster Management of Cultural Assets in Korea: Feed-forward Control Strategy for the Wooden Cultural Assets Buildings. Ph.D Thesis, Chungbuk National University, Cheongju, Korea, 2009. [Google Scholar]
  22. Song, K.J.; Kim, C.J.; Kang, K.I. Development of the Decision Support Model for Prioritizing the Cultural Properties Repair. J. Archit. Inst. Korea Struct. Constr. 2007, 23, 211–218. [Google Scholar]
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Article Metrics

Citations

Article Access Statistics

Multiple requests from the same IP address are counted as one view.