• The Journal of the Korea Contents Association
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• v.12 no.5
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• pp.459-469
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• 2012

The purpose of this study is to analyze the domestic travel activities by job characteristic and derive implications to improve the domestic tourism by using 2010 Korea National Tourism Survey data(Ministry of Culture, Sports and Tourism). We classified survey samples(1,813 persons) by 6 job characteristic categories and compared the domestic travel activities(number of travel, day of travel, expenditure of travel). As the results of analysis, the domestic travel activities of paid worker, full-time worker, employers with a 500 or more workers, biweekly five-day worker are more than non-paid worker, part-time worker, employers with a 10 or less workers, worker who work six to seven days a week.

• Proceedings of the KSR Conference
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• 2010.06a
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• pp.2297-2302
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• 2010

The status and effectiveness of Bi-modal Tram is analyzed through the comparison of the transport effectiveness and operation cost between the public transportation systems (bus, light rail transit) considering the vehicle and operation characteristic of new transit system Bi-modal Tram. The standard operation schedule is established in consideration of the vehicle specification and operation characteristic of main public transportation modes, and then the annual average operation cost is estimated depending on the volume, speed, analysis length for respective public transportation mode. Through analyzing the operation cost and distribution characteristic of public transportation modes depending on the transport volume and travel speed, the operational efficiency suitable for the city is derived. It is concluded that the operational efficiency of Bi-modal Tram is superior to that of the bus and light rail transit on the aspect of travel volume and operation speed.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.26 no.2D
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• pp.233-239
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• 2006

Most research for until at now link travel time were research for mean link travel time calculate or estimate which uses the average of the individual vehicle. however, the link travel time distribution is divided caused by with the impact factor which is various traffic condition, signal operation condition and the road conditional etc. preceding study result for link travel time distribution characteristic showed that the patterns of going through traffic were divided up to 2 in the link travel times. therefore, it will be more accurate to divide up the link travel time into the one involving delay and the other without delay, rather than using the average link travel time in terms of assessing the traffic situation. this study is it analyzed transit hour distribution characteristic and a cause using examine to the variables which give an effect at link travel time distribute using simulation program and determinate link travel time distribute ratio estimation model. to assess the distribution of the link travel times, this research develops the regression model and the fuzzy model. the variables that have high level of correlations in both estimation models are the rest time of green ball and the delay vehicles. these variables were used to construct the methods in the estimation models. The comparison of the two estimation models-fuzzy and regression model- showed that fuzzy model out-competed the regression model in terms of reliability and applicability.

• Journal of the Korean Institute of Navigation
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• v.18 no.4
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• pp.137-146
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• 1994

In this paper, a new algorithm to measure the ultrasonic travel time is proposed, which is fundamental to estimate distance depth and volume in several media. Pulse wave has been used to measure travel time of transmitted signal. However, due to the characteristic of transducer and propagation, the received signal is so distorted that it is difficult to measure travel time, which is propagation, the received signal is so distorted that it is difficult to measure travel time, which is to be time difference between transmitted and received signals. In this proposed method, transmitted and received signal are transformed respectively into norm phase newly designed by this paper and displayed on phase-time curve. And travel time is simply determined by the arithmetic numerical mean of time difference at the identical norm phase on the phase-time curves of transmitted and received signals. This method has several features; firstly, travel time is calculated analytically with high accuracy by least square error method, secondly, it is useful to compare the difference of signal magnitude for time information, thirdly, noise and discrete errors are relatively small, finally, the measurement accuracy is not influenced by D.C. bias. In particular, this method is useful and applicable to measuring very short distance and sound speed with high accuracy.

• Korean Management Science Review
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• v.25 no.1
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• pp.93-106
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• 2008

This study is focused on the problem of seat allocation for group travel demand in airlines. We first explain the characteristic of group demand and its seat allocation process. The group demand in air travel markets can be classified into two types : incentive and package groups. Allocating seats for group demand depends on the types of group demand and the relationship between airlines and travel agents. In this paper we concentrate on the package group demand and develop an optimization model for seat allocation on the demand to maximize the total revenue. With some assumptions on the demand distribution and the linear approximation technique, we develop a mixed IP model for solving our problem optimally. From the computational experiments, we can find our optimization model can be applied well for real-world application.

• Journal of Korean Society of Transportation
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• v.19 no.6
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• pp.171-182
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• 2001

Travel Time is an important characteristic of traffic conditions in a road network. Currently, there are so many road users to get a unsatisfactory traffic information that is provided by existing collection systems such as, Detector, Probe car, CCTV and Anecdotal Report. This paper presents the results achieved with Data Fusion Model, Hybrid Neuro Fuzzy System for on - line estimation of travel times using RTMS(Remote Traffic Microwave Sensor) and Probe Data in the signalized arterial road. Data Fusion is the most important process to compose the various of data which can present real value for traffic situation and is also the one of the major process part in the TIC(Traffic Information Center) for analyzing and processing data. On-line travel time estimation methods(FALEM) on the basis of detector data has been evaluated by real value under KangNam Test Area.

• Journal of the Korean association of regional geographers
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• v.2 no.1
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• pp.115-131
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• 1996

Tourism is multi-faceted phenomenon which involves movement to stay in destinations outside the normal place of residence. Thus, tourism is a composite phenomenon which incorporates the diversity of variables and relationships to be found in the tourist travel process. Tourism-behaviors are of major economic and social significance. With the growth of mass-tourism, the government departments of tourism is to provide many tourist facilities, to develop travel destination and tourism resources. At same time, the growth of mass-tourism has prompted perceptive travellers to raise many questions concerning the many travel destination and the tourism resources of encouraging further tourism demand. Most of tourism have a mental in their minds about various objects. This allowed him to choose tourism destination as a important rules. In tourism geography, behavioral approach to wildness, tourism resources and places has risen since 1960's. The tourist profile can be viewed under two major categories: the tourist social-economic and behavioral characteristic. Particulary, the motivations, attitude, need, values and preference of travel destinations are of crucial importance in contributing to their desion-making process. In this view, this paper is emprical study investigated travel patterns and behavioral characteristic of tourists and potential tourist in East Chonnam. The purpose of this paper is to show the spatial preference and tourism behavior of travel destinations. For this study, we are undertaken the questionary method employed by recreation geographers in order to collect research data for the East Chonnam-citizens functioned as a major tourist demand. The East Chonnam Province have many tourist-places including national park, provincial park, and local tourist-places. Thus, citizen of the East Chonnam evaluate many tourist-places very high, but evaluate the facilities of tourist place very low. The high ranks of preferences to travel destinations among tourist-places are Hyangilam, Geomoon island, Odongis land, Songkwang temple. The major travel destinations occurred the temporary travel trip are Odong island, Sunam temple, Songkwang temple. Heungkook temple, Hyangilam which are the type of mountainous in located inland. The relationship between the degree of preference and tourism behavior of travel trip for the travel destinations does not correlate each other. The result of analysis about the degree of seasonal preferences presented spatial differences according to characteristics of tourist-places. The typical travel destination are divided into seasons : Odong island. Mt. Backwoon, Goemoon island of spring, Goemoon island, Sungbul valley, Banggukpo beach of summer, Songkwang temple, Mt. Pal young of fall. The future of tourism will be rapidly grow with increase of personal mobility and leisure time, chang of tourism behavior. Thus, it is imperative that planning and development for tour-root, facilities of tourist-places should be implemented to increase tourism demand.

• Proceedings of the KSR Conference
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• 2009.05b
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• pp.323-337
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• 2009

This paper researched the adiabatic characteristic, safety and sound insulation characteristic of rolling stock window pane type and transition process of korean train vehicle window glass, and also including investigating a hereafter course of development. The window pane have provided the romantic feeling and the external scenery of train travel to the passenger in period of korea 110 year railway history. From the adiabatic viewpoint, this paper reviewed heat conductivity(U-value) and solar factor according to window pane type, including the safety and sound transmission loss of window pane.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.1 no.1
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• pp.41-51
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• 2002

As Advanced Traveler Information System(ATIS) is the kernel of the Intelligent Transportation System, it is very important how to manage data from traffic information collectors on a road and have at borough grip of the travel time's change quickly and exactly for doing its part. Link travel time can be obtained by two method. One is measured by area detection systems and the other is estimated by point detection systems. Measured travel time by area detection systems has the limitation for real time information because it Is calculated by the probe which has already passed through the link. Estimated travel time by point detection systems is calculated by the data on the same time of each. section, this is, it use the characteristic of the various cars of each section to estimate travel time. For this reason, it has the difference with real travel time. In this study, Artificial Neural Networks is used for estimating link travel time concerned about the relationship with vehicle detector data and link travel time. The method of estimating link travel time are classified according to the kind of input data and the Absolute value of error between the estimated and the real are distributed within 5$\~$15minute over 90 percent with the result of testing the method using the vehicle detector data and AVI data of Namsan Tunnel $\#$1. It also reduces Time lag of the information offered time and draws late delay generation and dissolution.

• Proceedings of the KOR-KST Conference
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• 2007.11a
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• pp.684-692
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• 2007