• Economic and Environmental Geology
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• v.29 no.6
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• pp.699-712
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• 1996

Field scale experiments using an automated 144-channel TDR system were conducted which monitored the movement of solute through unsaturated loamy soils. The experiments were carried out on two different field plots of 0.54 ha to study the vertical movement of solute plume created by applying a square pulse of $CaCl_2$ as a tracer. The residence concentration was monitored at 24 locations on a transect and 5 depths per location by horizontally-positioning 50 cm long triple wire TDR probes to study the heterogeneity of solute travel times and the governing transport concept at field scale. This paper describes details of experimental methodology and calibration aspects of the TDR system. Three different calibration methods for estimation of solute concentration from TDR-measured bulk soil electrical conductivity were used for each field site. Data analysis of mean breakthrough curves (BTCs) and parameters estimated using the convection-dispersion model (CDE) and the convective-lognormal transfer function model (CLT) reveals that the automated TDR system is a viable technique to study the field scale solute transport providing a normal distribution of resident concentration in a high resolution of time series, and that calibration method does not significantly affect both the shape of BTC and the parameters related to the peak travel time. Among the calibration methods, the simple linear model (SLM), a modified version of Rhoades' model, appears to be promising in the calibration of horizontally-positioned TDR probes at field condition.

• Korean Journal of Construction Engineering and Management
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• v.21 no.1
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• pp.21-31
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• 2020

Recently, interest and financial investment in community infrastructure have been growing. Accordingly, Korean Ministry of Land, Infrastructure and Transport suggested a standard for community infrastructure planning. The standard was based on time distance which represents citizens' accessibility to infrastructure facilities. This paper presents a method to use the navigation application programming interface (API) to calculate travel time. Buffer analysis using Euclidean distance has been widely used so far to evaluate accessibility. However, this method has limitation in that it does not reflect situations in the real world such as crosswalks and slope ways. The infrastructure accessibility indices of local towns in Yeonsu-gu, Incheon were computed based on the time obtained by navigation API. Also, Yeonsu-gu was spatially analyzed to reveal the resident units that are marginalized from community infrastructure facilities. Using navigation API enables to compute realistic accessibility indices and to find unbenefitted residential areas. The method presented in this paper can help community infrastructure planners for their facility spatial plan and budget distribution.

• Journal of Korean Society of Transportation
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• v.22 no.5
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• pp.7-17
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• 2004

지금까지의 링크통행시간에 대한 연구는 개별 차량의 평균을 통한 평균링크통행시간 산정 및 추정의 제한적인 연구가 대부분이었다. 그러나, 링크통행시간은 교통조건, 신호운영조건, 도로조건 등 다양한 영향인자로 인해 통행시간 분포가 구분되는 특성을 나타낸다. 따라서, 링크통행시간 특성을 좀 더 미시적으로 분석할 필요가 있다. 본 연구에서는 GPS를 이용한 실시간 교통자료 수집의 방법에 대해 살펴보았으며, GPS를 이용한 RTK 측량을 이용한 실시간 자료수집을 통하여 링크통행시간에 대한 연구를 수행하였다. 또한, 신호운영에 의한 영향으로 인한 링크통행시간 분포특성을 분석하기 위해 링크통행시간에 대한 현장조사를 추가적으로 실시하였다. 현장조사 결과분석을 통해 통행시간 분포특성 및 원인을 분석하고 프로그램을 이용한 시뮬레이션을 통해 보다 다양한 조건을 부여하여 링크통행시간분포비율에 영향을 주는 변수들에 대한 검토하고 통행시간 분포비율을 추정할 수 있는 모형을 구축하였다. GPS 실험차량을 이용한 주행실험결과를 분석한 결과 순행시간으로만 이루어지는 링크통행시간과 적색시간 동안 대기하였다가 링크구간을 통과하여 순행시간에 신호 대기시간을 더한 링크통행시간으로 통행시간이 구분되는 현상을 확인할 수 있었으며 따라서, 링크통행시간에 대한 분석은 통행시간을 하나의 평균통행시간으로 인식하는 것보다 두 개의 구분된 통행시간을 동시에 고려하는 것이 바람직할 것으로 판단되었다. 링크통행시간 분포특성에 대한 연구결과 또한, 통행시간이 양분되어 분포하는 것으로 분석되었다. 따라서, 링크통행시간의 경우 평균통행시간에 의한 결과보다 신호지체가 발생하지 않는 통행시간과 신호지체가 발생하는 통행시간으로 구분하는 것이 교통상황을 인식하는 것이 바람직할 것으로 나타났다.

• The Journal of Asian Finance, Economics and Business
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• v.2 no.3
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• pp.33-36
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• 2015

Innovations in the procurement logistics now is very popular in Kazakhstan. Nowadays there are a lot of documents of transport infrastructure and Kazakhstan logistic system is developing more and more. Procurement logistic is the direction where you can count, sometimes you can buy some products or transport equipments. Logistic in Kazakhstan is new direction, there are a lot of young people who choose this specialty and will stay demanded. Our president said a lot of words in strategies about development in logistics and so there will be new methods that will be used here. Innovations are new technologies that are used in different spheres so this structure as procurement logistic will develop in Kazakhstan and every citizen of our republic will support it. Transport systems are used for transitions different products so there are a lot new transition roads for example Western China - Western Europe; Astana-Almaty; Astana-Ust-Kamenogorsk; Astana-Aktobe, Atyrau; Almaty - Ust-Kamenogorsk; Karaganda - Zhezkazgan - Kyzylorda; Atyrau-Astrakhan, it helps Kazakhstan to support international links between other countries.

• Proceedings of the Korea Water Resources Association Conference
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• 2015.05a
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• pp.100-100
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• 2015

자연유역은 주어진 강우에 대해 다양한 형태의 유출반응을 나타내는데, 이는 순간반응함수(Instantaneous Response Function; IRF)로 표현될 수 있다. IRF는 유역의 DEM(Digital Elevation Model)으로부터 지표수 흐름방향을 추출한 뒤 지형분석을 통하여 구한 인자를 이용해 구하는 것이 일반적인 이론이다. 여기서 DEM의 모든 셀에 대해 흐름방향을 부여할 수 있지만, 모든 셀이 하천에 해당하지는 않는다. 따라서 최상류의 셀들은 사면으로, 하류의 셀은 하천으로 구분하여 IRF모의에 적용하게 된다. 사면과 하천은 지표수이송에 전혀 다른 경향을 보이므로 전체적인 유역의 유출반응에 큰 영향을 미친다. 예를 들어 사면과 하천에서의 유속 차이는 IRF의 왜도(skewness)에 주된 영향을 미치는 것으로 알려져 있다 (Botter and Rinaldo, 2003). 하지만, DEM에서 사면과 하천을 정확하게 구분하는 것은 매우 어렵기 때문에 하천시점을 정의하는 데에는 불확실성이 내재되어 있으며, 이러한 점은 추정된 IRF의 불확실성으로 연결된다. 본 연구에서는 하천시점의 불확실성으로 인한 IRF의 불확실성을 정량화하고, 그것의 유의수준을 평가하고자 한다. 이를 위해 다양한 유원면적 기준에 대해 IRF를 계산하고, 그 결과를 심도 있게 고찰한다.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.5
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• pp.987-1000
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• 2021

The concept of 'Employer branding' (EB) - one effective and sustainable strategy to attract and retain talent - has received a lot of attention from researchers and business managers. This concept becomes more meaningful when the 'war of talent' takes place in an extremely fierce manner in Vietnam as well as around the world. However, this concept is rather new; as a result, many points related to 'EB' scales should be improved, especially in Vietnamese context. Therefore, this study focuses on developing and confirming the EB scale in the context of Vietnam. Based on EB theory, this research applies the mixed research method: qualitative methods (expert interview and group discussion) and quantitative method (questionnaire survey of 937 respondents). EB is demonstrated to be a quadratic concept, consisting of the following 10 dimensions: Corporate social responsibility (CSR), Promotion (PRO), Work-Life Balance Satisfaction (WLSA), Education (EDU), Behavior-based Family interference with work (WLBE), Travel opportunities (TRA), Time-based work interference with family (WLTI), Teamwork (GRO), Supporting (SUP), and Strain-based family interference with work (WLST) with 58 observed variables. Based on the survey towards the employees in enterprises and organizations in Vietnam, the analysis results affirm that this scale ensures efficiency, reliability, unidirectionality and convergent values.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.3
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• pp.1287-1293
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• 2021

Alternative forms of travel have recently been delivering rewarding experiences and promising sustainable development for the tourism sector. However, it also depends on the uncertainties, consequences, and emotional connection with the destination. So far, the scholars have done limited empirical studies on volunteer tourism in Bali. Thus, this study tries to measure volunteer tourists' behavior by understanding the relationship between destination attachment, risk perception, and voluntourism behavior. Therefore, a study on the inclusivity of tourists' attachment to a particular place and perceived risks in volunteer tourism is an essential need to sustain the tourism industry. Data was analyzed using Partial Least Squares with smartPLS software. This study is based on a sample of ninety-three tourists of generation Z in Bali, Indonesia. Both outer model and inner model evaluation were conducted to ensure the robustness of the proposed model. The findings showed that destination attachment does have a direct and significant effect on voluntourism behavior. As expected, we also find that perceived risk has a significant moderating role on the relationship. Hence, greater efforts are needed to improve the image of the place by highlighting the characteristics of the locations. At the same time, it is necessary to put considerable effort to alleviate unfavorable conditions by creating safe environment surrounding the destination.

• The Journal of Asian Finance, Economics and Business
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• v.10 no.2
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• pp.183-193
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• 2023

This paper proposes and examines the economic impact of infrastructure improvement on the San-En-Nanshin region in the Chubu area of Japan. We develop a single transportation computable general equilibrium (CGE) model for each subregion within the San-En-Nanshin region. The explicit modeling of the transportation infrastructure is defined based on interregional commuting flows and business trips, considering the spatial structure of the San-En-Nanshin economy. A CGE model is integrated with an interregional transportation network model to enhance the framework's potential for understanding the infrastructure's role in regional development. To evaluate the economic impact of transportation improvement, we analyze the interrelationship between travel time savings and regional output and income. The economic impact analysis under the CGE framework reveals how transportation facilities and systems affect firm and household behavior and therefore induce changes in the production and consumption of commodities and transportation services. The proposed theoretical model was tested by using data from the 2005 IO tables of each subregion and the 2006 transport flow dataset issued by the Ministry of Land, Infrastructure, Transport, and Tourism in Japan. As a result, the paper confirms the positive effect of transportation investment on the total output and income of the studied region. Specifically, we found that while economic benefits typically appear in urban areas, rural areas can still potentially benefit from transportation improvement projects.

• Journal of Korean Society of Transportation
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• v.25 no.3
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• pp.145-154
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• 2007

Determining stop spacing is a very important process in transit system planning. This study is involved in an analytical approach to decide the transit stop spacing. Transit stop spacing should be longer as 1) user access speed, 2) user travel time, and 3) dwell time increase, and shorter as 1) passengers (boardings and alightings) and 2) headway increase. In this study, a methodology is proposed to determine transit stop spacing to minimize total cost (user cost plus operator cost) with irregular passenger distribution (boardings and alightings) Without considering in-vehicle passengers, the transit stop spacing should be shorter in the concentrated sections of the passenger distribution than in others to minimize total cost. Through the conceptual analysis, it is verified that the transit stop spacing could be longer as the in-vehicle passengers increase in certain sections. This study proposes a simple practical method to determine transit stop spacing and locations instead of a dynamic programming method which generally includes a complex and difficult calculation. If the space axis is changed to a time axis. the methodology of this study could be expanded to analyze a solution for the transit service (or headway) schedule problem.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.19 no.5
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• pp.82-96
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• 2020

The Demand Responsive Transit (DRT) system is the flexible public transport service that determines the route and schedule of the service vehicles according to users' requests. With increasing importance of public transport systems in urban areas, the development of stable and fast routing algorithms for DRT has become the goal of many researches over the past decades. In this study, a new heuristic method is proposed to generate fast and efficient routes for multiple vehicles using demand clustering and destination demand priority searching method considering the imbalance of users' origin and destination demands. The proposed algorithm is tested in various demand distribution scenarios including random, concentration and directed cases. The result shows that the proposed method reduce the drop of service ratio due to an increase in demand density and save computation time compared to other algorithms. In addition, compared to other clustering-based algorithms, the walking cost of the passengers is significantly reduced, but the detour time and in-vehicle travel time of the passenger is increased due to the detour burden.