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The purpose of this paper is to estimate an individual’s probability of preservation of the night view of Han-River bridge tax using the contingent valuation method (CVM) and to present the effects of 4Es on experience economy theory.

The on-site survey was conducted in the 11 district Han-River parks: Gwangnaru, Jamsil, Ttukseom, Jamwon, Banpo, Yeechon, Yeouido, Mangwon, Nanji, Ganseo and Yanghwa district, including 24 bridges such as Banpo, Olympic bridge during 8-9 pm around the lighting and 9-10 pm peak time of lighting.

Truncated mean willingness-to-pay indicates that the economic value of the night view of Han-River bridge is 49,575 won (about USA $50) per household, which implies the significance of the preservation value of the night view.

This study sets a hypothetical market, and there are limitations on hypothetical bias of the dichotomous choice CVM. For the future study, a survey with a specific real payment vehicle in an attempt to reduce hypothetical bias can be a tool for the prevention of the overestimation.

Through the study, Seoul city has to invest aggressively on the night view landscape business of Han-River bridge, which can become a landmark and has lots of attraction for tourists. As this study’s core aim was to justify the economic value of the night view of the Han-River bridges, the estimated amount strongly supports the lighting business of the Han-River bridge.

The results of this research may help policy-makers of Han-River to establish practical decisions as to whether improving and preserving the Han-River’s night view lighting business are worth the value.

This paper aims to explore the impacts of the recent development of Korean free trade agreements (FTAs) on its seaborne trade volumes. The paper firstly estimates the changes in cargo value flows caused by Korea-EU FTA, Korea-USA FTA and Korea-ASEAN FTA using a global computable general equilibrium model named Global Trade Analysis Project (GTAP) and its most recent database - version 7 with 2004 as the base year. Then a set of systematic conversion factors transferring trade value flows to volume flows of different types of commodities is calibrated according to the United Nations COMTRADE database and is used to convert the GTAP trade value flows into volume flows. Having indentified maritime cargo flows by different commodity types, this paper attempts to draw implications for maritime logistics policy in order to facilitate the trade of Korean merchandises and to propose key competitive strategy for the maritime container transport networking and logistics service providers in the Korean logistics industry.

As a means of data acquisition for the situation awareness, computer vision-based motion capture technologies have increased the potential to observe and assess manual activities for the prevention of accidents and injuries in construction. This study thus aims to present a computationally efficient and robust method of human motion data capture for the on-site motion sensing and analysis.

This study investigated a tracking approach to three-dimensional (3D) human skeleton extraction from stereo video streams. Instead of detecting body joints on each image, the proposed method tracks locations of the body joints over all the successive frames by learning from the initialized body posture. The corresponding body joints to the ones tracked are then identified and matched on the image sequences from the other lens and reconstructed in a 3D space through triangulation to build 3D skeleton models. For validation, a lab test is conducted to evaluate the accuracy and working ranges of the proposed method, respectively.

Results of the test reveal that the tracking approach produces accurate outcomes at a distance, with nearly real-time computational processing, and can be potentially used for site data collection. Thus, the proposed approach has a potential for various field analyses for construction workers’ safety and ergonomics.

Recently, motion capture technologies have rapidly been developed and studied in construction. However, existing sensing technologies are not yet readily applicable to construction environments. This study explores two smartphones as stereo cameras as a potentially suitable means of data collection in construction for the less operational constrains (e.g. no on-body sensor required, less sensitivity to sunlight, and flexible ranges of operations).

This research examines the lodging experience in the context of environmentally friendly hotels by discovering the underlying guest segments. A mixed-method approach is deployed, which first reveals three lodging experience dimensions entailing, functionality, hedonism and social responsibility via in-depth interviews. Subsequently, a questionnaire survey is conducted which gathers responses from 326 guests staying at seven certified green hotels. A cluster analysis based on green lodging experiences is performed that evokes three distinct guest segments labeled as (1) spontaneous guests, (2) active guests, and (3) devoted guests. The study notes that social responsibility is the most important lodging experience across the three resultant segments. The study also finds about 31% of respondents tend not to pay much attention to green lodging operations. It leads to a suggestion that the implementation of green operations may be accomplished in a way not notably compromising certain service expectations by those not profusely aspiring of the notion of green operations. Even though meeting the needs of core customers is a vital task.

The purpose of this study is to empirically analyze the impact of logistics efficiency on trade volume growth, and to examine the effects of lower tariffs resulting from free trade agreements. In order to measure the impact of logistics efficiency on trade volume growth, the export and import trade volume among 53 countries was introduced as the dependent variable. Macroeconomic indicators including annual average tariff rate, logistics efficiency indicators for port, air, railroad, road and container vessel connectivity, as well as dummy variables such as whether a free trade agreement was signed, were introduced as the explanatory variables. Bilateral panel data between trading nations was used to estimate the gravity panel model, and analysis followed the categorization: 1) separate inputs of the five logistics efficiency variables and 2) one aggregated input of the five variables as a single indicator. The analysis found that logistics efficiency had a statistically significant impact on bilateral trade volume growth, while the impact of lowering tariff rates on increasing trade was insignificant. In addition, logistics efficiency was found to have a greater impact on increasing trade volume than free trade agreements. These results imply that trade can be promoted more effectively by establishing and efficiently operating logistics-related infrastructure rather than traditional methods of reducing trade barriers such as lowering tariffs and signing free trade agreements.

We study the informational content of factor structures in discrete triangular systems. Factor structures have been employed in a variety of settings in cross-sectional and panel data models, and in this chapter we formally quantify their identifying power in a bivariate system often employed in the treatment effects literature. Our main findings are that imposing a factor structure yields point-identification of parameters of interest, such as the coefficient associated with the endogenous regressor in the outcome equation, under weaker assumptions than usually required in these models. In particular, we show that a “non-standard” exclusion restriction that requires an explanatory variable in the outcome equation to be excluded from the treatment equation is no longer necessary for identification, even in cases where all of the regressors from the outcome equation are discrete. We also establish identification of the coefficient of the endogenous regressor in models with more general factor structures, in situations where one has access to at least two continuous measurements of the common factor.

Green or ecological consumers can gradually become a prominent market segment. The purpose of this study is to investigate tourists’ behavior intentions for staying overnight at green hotels by integrating environmental education (EE) from the Theory of Planned Behavior (TPB) perspective. Data of 350 usable questionnaires for this research were collected from a quasi-random selection of people at the checkout counter of three of the 19 winners of the 2008 green hotel competition in Taiwan. This result indicates that a green hotel that provides green service can be supported by supporting EE. The findings and applications of this study are useful for both academia and practitioners.

The purpose of this study is to explore the factors influencing customers’ revisit intentions of green hotels after the COVID-19 pandemic.

The study is based on the existing literatures and interviews of 404 respondents visiting hotels after the pandemic. The partial least square structural equation modeling is used to analyze the data.

The findings show that green attitude, green personality and personal norms significantly influence post-COVID-19 green hotel revisit intentions.

The findings of the study may be useful to hotel operators in formulating focused business strategies improving customers’ green hotel revisit intentions and coping with the new normal business environment of the hospitality industry.

The study presents a unique case highlighting how the hospitality business is changing after the COVID-19 pandemic. The study provides important insights for industry operators by integrating attitudes, personality and norms of the customers in examining the green hotels revisit intentions.

This study seeks to investigate issues transpiring in green hotels from a human resource perspective which is unlike most green-hotel studies centering on consumer behavioral subjects. It hypothesizes that the employees’ green ability consisting of environmental awareness, environmental knowledge, and environmental skill creates a positive impact on hotels’ green ability and ultimately on the overall performance of hotels. Using alumni from a tourism and hospitality program, this study collects 233 responses from a structured questionnaire survey. The findings indicate that hotel employees approximately contribute toward a fifth of the hotels’ ability to implement greener practices.

The purpose of this paper is to provide an insight into xylophagia, its treatment, intervention options, etiological causes and possible relationship with other diseases.

A systematic search was performed across four scientific databases (i.e. Ovid Medline, Embase via Ovid, PubMed and ProQuest). All of the qualitative studies reporting on xylophagia from the inception of databases until August 2019 have been included. The quality of included studies was assessed through a ten-item checklist given by Kmet et al. (2004).

A total of 18 studies were included, and five primary themes emerged after analysis: precipitation/onset of xylophagia, co-morbid psychiatric or medical illnesses, assessment and investigation modes to confirm diagnosis, outcomes of xylophagia and treatment options comprising medical care, psychological care, counseling and duration of recovery. There were 16 females and 9 males in included studies. The mean ages and standard deviations of males and females were 29.25(12.17) years and 32.81(11.92), respectively. The mean duration and standard deviation of paper pica were 4.80(4.27) years.

Despite the limitation that this meta-synthesis is based upon findings from case studies, results show that standardized medication regimens for treating xylophagia are still not available or are unknown. There is a dire need for further research in order to better understand the disorder. The healthcare professionals need to use reciprocal, mutually constituent influence of biological and sociocultural factors in order to screen, diagnose and manage complex psychological problems like xylophagia.

The findings advance our understanding of the positive effects of patients and family members undergoing counseling or cognitive behavior therapy in reducing stress and enhancing coping skills thus, avoiding self-damaging behaviors.