Search results

The purpose of this paper is to examine how experiencing moderate earthquakes influences risk perception and preparedness.

An online survey was conducted on a nationally representative sample of Korean adults after the moderate earthquake in Pohang in 2017. Statistical analyses were conducted to identify the determinants of willingness to pay (WTP) for seismic retrofitting and earthquake insurance.

The results show that risk perception, housing ownership, earthquake experience and income level significantly influenced WTP for seismic retrofitting and earthquake insurance. The results also indicate that a greater number of damage-free earthquake experiences reduced the WTP that could be explained by normalcy bias. Finally, people who believed that the Pohang earthquake might be an example of induced seismicity (i.e. triggered by the geothermal power plant) tended to have a lower WTP for seismic retrofitting.

This study offers valuable findings on public attitudes about enhancing earthquake preparedness policies in moderate earthquake zones, regions that few studies have examined despite their high vulnerability due to a lack of preparedness.

The purpose of this paper is to identify the present structure of the Korean disaster-safety industry and propose ways to promote it.

The background of the emergence of the disaster and safety industry in Korea is reviewed, and business networks of 91 companies belonging to the disaster and safety industry in Korea are identified and analysed through a network analysis.

Korean Government is struggling to nurture the disaster and safety industry as it has been on last few decades. This paper finds that the current industry has an ambiguous market structure, and the industry tends to depend highly on the demand of public institutions.

The concept of the disaster and safety industry is not well established in other countries except for Korea. If Korea successfully fosters its disaster and safety industry through its proper understanding, it would bring both disaster risk reduction and economic benefits.

This paper analyses the market structure of the disaster and safety industry, which is uniquely emerging in Korea and rarely designated as an industry in other countries.

This study aims at exploring the topology of two risk communication cases, Bovine Spongiform Encephalopathy (BSE) in 2008 and H1N1 in 2009, in South Korea and investigating the progression of risk events related to media's role in risk amplification.

Content analysis of major Korean media is conducted. BSE and H1N1 stories in 2008 and 2009 are collected and analyzed. First, the basic nature of media coverage of the events such as frequency of stories is surveyed. Second, framings adopted in media to cover two cases are analyzed.

The result indicates that unfolding events related to BSE and H1N1 risk show a similar timeline with the frequency of media coverage of the given risks. Also, media adopted political framings for BSE and health/medial framings for H1N1.The authors cautiously suggest that the framings in media have influenced the politicization of BSE risk issue among the public, but, at the same time, the media framings on H1N1 have attenuated potential politicization of H1N1's risk.

This paper demonstrates the relationship between the process of social amplification of risk and media framings in Korea.

Building energy benchmarking is required for adopting an energy certification scheme, promoting energy efficiency and reducing energy consumption. It demonstrates the current level of energy consumption, the value of potential energy improvement and the prospects for additional savings. This paper aims to create a new data envelopment analysis (DEA) model that overcomes the limitations of existing models for building energy benchmarking.

Data preparation: the findings of the literature search and subject matter experts’ inputs are used to construct the DEA model. Particularly, it is ensured that the included variables would not violate the fundamental assumption of DEA modeling, DEA convexity axiom. New DEA formulation: controllable and non-controllable variables, e.g. weather conditions, are differentiated in the new formulation. A new approach is used to identify outliers to avoid skewing the efficiency scores for the rest of the buildings under consideration. Efficiency analysis: three distinct efficiencies are computed and analyzed in benchmarking building energy: overall, pure technical, and scale efficiency.

The proposed DEA approach is successfully applied to a data set provided by a utility management and energy services company that is active in the multifamily housing industry. Building characteristics and energy consumption of 124 multifamily properties in 15 different states in the USA are found in the data set. Buildings in this data set are benchmarked using the new DEA energy benchmarking formulation. Building energy benchmarking is also conducted in a time series manner showing how a particular building performs across the period of 12 months compared with its peers.

The proposed research contributes to the body of knowledge in building energy benchmarking through developing a new outlier detection method to mitigate the impact of super-efficient and super-inefficient buildings on skewing the efficiency scores of the other buildings; avoiding ratio variables in the DEA formulation to adhere to the convexity assumption that existing DEA methods do not follow; and distinguishing between controllable and non-controllable variables in the DEA formulation. This research contributes to the state of practice through providing a new energy benchmarking tool for facility managers and building owners that strive to relatively rank the energy-efficiency of their properties and identify low-performing properties as investment targets to enhance energy efficiency.