• Korean Journal of Construction Engineering and Management
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• v.24 no.5
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• pp.73-82
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• 2023

Optimization of Construction Site Layout Planning (CSLP) heavily relies on workers' travel paths. However, traditional path generation approaches predominantly focus on the shortest path, often neglecting critical variables such as individual wayfinding tendencies, the spatial arrangement of site objects, and potential hazards. These oversights can lead to compromised path simulations, resulting in less reliable site layout plans. While Deep Reinforcement Learning (DRL) has been proposed as a potential alternative to address these issues, it has shown limitations. Despite presenting more realistic travel paths by considering these variables, DRL often struggles with efficiency in complex environments, leading to extended learning times and potential failures. To overcome these challenges, this study introduces a refined model that enhances spatial navigation capabilities and learning performance by integrating workers' visibility into the reward functions. The proposed model demonstrated a 12.47% increase in the pathfinding success rate and notable improvements in the other two performance measures compared to the existing DRL framework. The adoption of this model could greatly enhance the reliability of the results, ultimately improving site operational efficiency and safety management such as by reducing site congestion and accidents. Future research could expand this study by simulating travel paths in dynamic, multi-agent environments that represent different stages of construction.

• The Journal of Industrial Distribution & Business
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• v.9 no.7
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• pp.61-70
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• 2018

Purpose - The purpose of this research is reflected on the rapid development of online tourism industries. The study was to establish the strategy for Korean tourism enterprises to develop tourist commodities suitable for Chinese tourists and attract them to visit Korea by the empirical analysis of the relation between repurchase intention of tourists and its premise variables (e-service quality, perceived value and satisfaction). Research design, data, and methodology - This research carried out a questionnaire survey on Chinese tourists who visited Korea with experience of using the online travel agency web sites. A total 398 answers were recovered, 41 of them were excluded due to the dishonest answers and 357 of them were finally analyzed. The data was analyzed with IBM SPSS AMOS 22.0. Results - The research results show that in the online travel agency web site e-service quality, convenience, interactivity, information validity, credibility had a positive impacts on perceived value and satisfaction. The perceived value of online travel agency website users has positive impart on satisfaction and repurchase intention. Satisfaction of online travel agency web site users have positive impacts on repurchase intention. But safety has no impact on perceived value while positive impacts on satisfaction was affected. Conclusions - First, in the online travel agency web site e-service quality, safety has no impact on perceived value while it was shown to have positive impacts on satisfaction because the users of online travel agency web sites believe that the protection of personal information, the defense of cracker and the safeguard of payment security are the basic premises of website operation. Although safety does not have impacts on perceived value, users benefits will suffer damage when hacker intrusion and other accidents occur so that online travel agency web sites should not ignore the security concerns. Second, credibility is a major concern for online travel agency web site users. At this time, it is necessary for the web site to establish a system to display both the commodity information and the using experience published on the user's SNS, thus improving the credibility of the website information.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.1085-1092
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• 2022

Travel distance is a parameter mainly used in the objective function of Construction Site Layout Planning (CSLP) automation models. To obtain travel distance, common approaches, such as linear distance, shortest-distance algorithm, visibility graph, and access road path, concentrate only on identifying the shortest path. However, humans do not necessarily follow one shortest path but can choose a safer and more comfortable path according to their situation within a reasonable range. Thus, paths generated by these approaches may be different from the actual paths of the workers, which may cause a decrease in the reliability of the optimized construction site layout. To solve this problem, this paper adopts reinforcement learning (RL) inspired by various concepts of cognitive science and behavioral psychology to generate a realistic path that mimics the decision-making and behavioral processes of wayfinding of workers on the construction site. To do so, in this paper, the collection of human wayfinding tendencies and the characteristics of the walking environment of construction sites are investigated and the importance of taking these into account in simulating the actual path of workers is emphasized. Furthermore, a simulation developed by mapping the identified tendencies to the reward design shows that the RL agent behaves like a real construction worker. Based on the research findings, some opportunities and challenges were proposed. This study contributes to simulating the potential path of workers based on deep RL, which can be utilized to calculate the travel distance of CSLP automation models, contributing to providing more reliable solutions.

• Environmental and Resource Economics Review
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• v.10 no.1
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• pp.1-23
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• 2001

This paper reviews a single trip decision to visit individual sites of a natural park within a random utility framework as an alternative to travel cost model. The model is applied to a 1998 survey of on-site visitors to Mu Deung Mt. neighboring Kwang Ju. city. Out of four sites considered, the model seemed to provide a reasonable description of behavior for three sites. In addition to travel costs as an implicit price, variables reflecting characteristics of each site also influenced decisions to visit the site. Moreover, benefits estimates derived from the RUM implied that visitors placed three times higher values on a site based on cultural inheritance compared with those of two recreational sites.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.12
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• pp.5808-5815
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• 2012

Through Tourism Information System, we can know, how much we feel importance of travel information and how to they spending, research when they need to go to travel according to we have to realize about anticipation/planning phase and on-site phase are different exactly. This purpose is how to get a basic data when we support with tourist about information of festival in travel and also how to give satisfaction for tourist and how many tourist wants to join the travels in addition, it is possible to we can develop all of things about travel informations. This is a result of research. First, all of the tourists participate the FESTIVAL, even though they didn't get any informations about travel. The second, information of festival in travel has different feeling between importance of participate in festival and performance after experience.

• Journal of Korea Society of Digital Industry and Information Management
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• v.5 no.1
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• pp.9-22
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• 2009

This paper is an explanation of a design and an implementation of Web 2.0 online travel agency system for frequent decision-making. On the Web 2.0 travel agency system, optimized information is obtained by applying data mining technology such as association rules, decision trees, and neural networks, and this system is a unified system that consists of the block systems of hotels, ground traffic, and flights in tour packages of a travel agency system. Furthermore, it is implemented to manage the system that is not for the administrator of a travel agency system, but for users or communities that use the system need their own information. The expected effect of this system is to maximize the investment company's efficiency through a new-concept interest model created by B2C customers, and also B2B small and medium-sized travel agencies adopting the system. As a result, it is a system that stimulates dormant customer activity and prevents good customers from leaving by maximizing the merit and capacity of the existed web site for marketing. Moreover, this system is also a model for people who plan customized travel agency business, and will show a way for the domestic and international travel agency industry's globalization.

• Korean Management Science Review
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• v.17 no.2
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• pp.87-95
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• 2000

This paper presents two analytical approaches to determine the vehicle fleet size for container shuttle service. The shuttle service can be defined as the repetitive travel between the designated places during working period. In the first approach, the transportation model is adopted in order to determine the number of vehicles required. Its advantages and disadvantages in practical application are also discussed. In the second approach, a logical network which is oriented on job is transformed from a physical network which is focused on demand site. Nodes on the logical network represent jobs which include loaded travel, loading and unloading and arcs represent empty travel for the next jobs which include loaded travel, loading and unloading and arcs represent empty travel for the next job. Then a mathematical formulation is constructed similar to the multiple traveling salesman problem (TSP). A solution procedure is carried out based on the well-known insertion heuristic with the real world data.

• Korean Architects
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• s.525
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• pp.83-87
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• 2013

• Korean Journal of Agricultural Science
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• v.31 no.2
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• pp.123-134
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• 2004

Since 1989, 9 major complex have been invested with government funds, for the purpose of developing agricultural tourism to increase agricultural income and job opportunity, as well as providing urban population leisure opportunity. However, systematic and comprehensive approaches were rarely done in analyzing its economic impacts. This study, therefore, focuses on analyzing tourism effect and its economic value and implication for a representative rural tourism site,"Daeho rural tourism complex". To analyze travel pattern, expenditure pattern, and degree of satisfaction from travel to Daeho complex, Travel Cost Method(TCM) was employed based on survey method. Results from linear model with statistical significance implies that tourism benefit for each visitor is 28,373 won and total annual benefit for the Daeho site is 7 billion won. Considering annual benefit stream, the present value of total benefits are 132.9 billion won and 70 billion won at 5% and 10% of discounting rate, respectively. Using the values of benefit estimated from this study and investment cost, B/C ratio, IRR, and NPV were calculated to be 1.01, 1.67 billion won, and 5.19% at 5% of discounting rate. These results could be directly compared with the previous analyses.

• Journal of Korean Neurosurgical Society
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• v.54 no.2
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• pp.142-144
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• 2013

A 49-year-old female with a history of several neurosurgical and otolaryngologic procedures for occipital meningioma and cerebrospinal fluid leaks was diagnosed with pneumocephalus after a one hour flight on a domestic jet airliner. Despite multiple operations, the air appeared to enter the cranium through a weak portion of the skull base due to the low atmospheric pressure in the cabin. The intracranial air was absorbed with conservative management. The patient was recommended not to fly before a definite diagnostic work up and a sealing procedure for the cerebrospinal fluid leak site had been performed. Recent advances in aviation technology have enabled many people to travel by air, including individuals with medical conditions. Low cabin pressure is not dangerous to healthy individuals; however, practicing consultant neurosurgeons should understand the cabin environment and prepare high risk patients for safe air travel.