• Title/Summary/Keyword: 목적지 선택

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A Study on the Parking Place Choice Behaviors Using Stated Preference Data (the case of shopping trips) (SP Data를 이용한 주차장선택행태 분석에 관한 연구 (쇼핑통행을 중심으로))

  • 정성용;윤용득;배영석;이재륜
    • Journal of Korean Society of Transportation
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    • v.19 no.3
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    • pp.19-32
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    • 2001
  • A parking facility choice model. which can be applied to analyze of the driver's parking behavioral changes in response to the local government's parking policy changes and to predict parking demand by the facility types, is developed. Under the context of the stated preference discrete choice model, socioeconomic variables and parking alternative characteristic variables are introduced as explanatory variables. A parking facility choice model for the shopping trip purpose is derived using multinomial logit model and nested logit model and the stated preference data collected in Taegu metropolitan area. The result shows that the sign of all the estimated parameters are logically consistent and the model's goodness of fit is reasonably good. As a result of the elasticity analysis of the model, the elasticity of parking cost is highest, and the elasticity of walking distance between parking place and the destination is higher than parking place searching and ingress time. This means that the parking places are supplied around the destination in the form of small-size parking place. The findings in this study is expected to provide a fundamental data for various short-term parking policy analyses and for parking facility's demand estimations.

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A Study on the Effect of Travel Time and Cost by Means on the Mode and Destination Choice of a Commuter by the Household Income Class - Based on the Utility-Based Accessibility Approach - (통행수단별 소요시간과 비용이 가구소득계층별 통근통행자의 수단 및 목적지 선택에 미치는 영향 분석 - 효용기반 접근도 개념에 근거하여 -)

  • Jang, Seongman
    • Journal of Korea Planning Association
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    • v.54 no.1
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    • pp.52-66
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    • 2019
  • Travel is a factor that stimulates the vitality of the urban and is widely used as an indicator of sustainable growth of the region. In Korea, however, no studies has been made to predict changes in traffic and calculate the accessibility of the region by comprehensively considering the socio-economic conditions of the travelers. The purpose of this study is to classify commuters according to the household income and to analyse the traffic characteristics of each class. The analysis results are aggregated into two. First, the analysis of study found different transport characteristics for different income classes. This is the result that underpins the argument of a previous study that suggested that a discriminatory approach is necessary for each income in determining the accessibility of the region. Second, this study calculated utility values differently for each income class based on the transit time and cost required between each zone. Through these measures, transport characteristics were analyzed by income class using indicators that considered transportation infrastructure, and socio-economic conditions of the travelers. This study is meaningful in that it provided the basis for calculating the accessibility that could take into account the activities of the housing consumers in establishing domestic housing policies.

A Virtual Grid-Based Routing Algorithm in Ad Hoc Networks (애드혹 네트워크에서의 가상 그리드 기반 라우팅 알고리즘)

  • Lee, Jong-Min;Kim, Seong-Woo
    • Journal of the Korea Society for Simulation
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    • v.16 no.2
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    • pp.17-26
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    • 2007
  • In this paper, we propose a basic virtual grid-based routing algorithm in order to devise an efficient routing method in ad hoc networks using the location information of nodes, energy level, etc. A packet is forwarded to the X-axis direction at first based on the location information of a destination node, and then it is forwarded to the Y-axis direction as its location becomes close to the destination from the viewpoint of the X-axis. Due to the selection of next hop nodes to deliver a packet from a certain node to a destination node, we can regard the whole network as a virtual grid network. The proposed routing algorithm determines routing paths using the local information such as the location information of a destination and its neighbor nodes. Thus, the routing path setup is achieved locally, by which we can expect reduction in network traffics and routing delays to a destination. To evaluate the performance of the proposed routing algorithm, we used the network simulator ns2 and compared its network throughput with that of an existing routing algorithm.

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철도 자동 진로 설정

  • Lee, Nak-Yeong;Park, Seong-Jeon;Lee, Geun-Seok;Jeon, Deok-Hyeon;Lee, Gwang-Hyeong
    • IE interfaces
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    • v.2 no.1
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    • pp.29-35
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    • 1989
  • 본 논문에서는 대우엔지니어링 철도사업부가 연구하였던 A공장 내의 철도시스템의 제어 시스템 설계 및 구현에 관한 사례를 중심으로, 철도시스템의 특성 및 자동제어시스템의 특성을 정리하고 시스템 설계방법을 논의 하고자 한다. 철도상의 최소경로 진로설정 문제는 철로의 특성상 특수한 제약이 있기 때문에 다른 일반적인 최소경로 선택방법에 따라서 기관차의 진로를 결정 할 수 없다. 따라서 본 연구팀이 연구대상으로 하였으며 구현한 철도제어시스템에서는 각 출발지와 목적지별로 가능한 경로를 나열한 table들을 자성하였으며, 이 table들을 이용하여 최소경로를 선택하였다.

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Effects of the Coffee Shop Selection Attributes on Revisit Intention Using the Information Search (정보검색을 통한 커피전문점 선택속성이 재방문의도에 미치는 영향)

  • Baek, Young Ju;Lee, Min Jung
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2018.01a
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    • pp.205-206
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    • 2018
  • 오늘날 인터넷 대중화로 다양한 분야에 걸쳐 누구나 쉽게 정보 공유가 가능한 환경 속에 살고 있다. 최근 모바일 기기들의 확산으로 커피전문점 방문 할 때 정보검색의 영향력이 커짐에 따라 인터넷 후기 등이 작성되어 있는 블로그는 목적지 선택에 많은 영향을 미치고 있다. 본 연구에서는 정보검색을 포함한 기존의 커피전문점의 선택속성의 커피전문점의 만족도와의 관계를 살펴보고자 하였다. 정보검색을 통해 방문한 적이 있는 커피전문점 방문자를 대상으로 176개의 설문지를 회수 하였고, SPSS 18.0를 이용하여 분석하였다. 본 연구에서는 정보검색 일치성을 포함한 커피전문점의 기존의 선택속성들을 독립변수로 두고, 커피전문점의 추천도를 종속변수로 두어 회귀분석을 실시하였다. 분석결과, 정보검색을 통해 커피전문점 방문시 '분위기와 정보검색결과의 일치성', '일반적 선택속성', '커피의 맛', '주차 편리성' 요인이 추천에 유의한 영향을 미치는 것으로 나타났다.

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A Comparison of First Time and Repeat Visitors' Tourism Destination -Focusing on Seoul City (최초방문자와 재방문자의 관광목적지 선택차이 연구 -서울지역을 중심으로)

  • Kim, Min-Sun;Um, Hyemi
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.17 no.11
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    • pp.648-654
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    • 2016
  • This paper investigates differences of tourism destination choices for sightseeing in Seoul between first-time visitors and repeat visitors. We constructed social network using secondary data from '2015 International Visitor Survey' and analyzed its density and centrality. Study results find that: (1) first-time and repeat visitors' tourism destinations are concentrated in areas located north of the Han river. The proximity of destinations suggests the positive effects resulting from the movement network. (2) As the result of degree centrality, closeness centrality, betweenness centrality, the highest ranking tourism destinations for both visitor groups are identical, but indexes of centralities in repeat visitors' destinations increase, including Shinchon/ Hongik University, Gangnam station, and Garosu-gil. Therefore, the roles of these destinations are becoming established as tourism hubs and are popular among younger visitors as well as attract repeat visitors. Results of this study will be a useful reference in developing and managing new tourism products.

체험관광자원으로서의 동굴

  • 유영준
    • Proceedings of the Speleological Society Conference
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    • 2001.11a
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    • pp.51-60
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    • 2001
  • 관광자들이 나타내는 행태상의 특징은 매우 다양하다. 관광자들은 쇼핑, 휴식, 호기심 충족, 스포츠, 친지 방문 등 자신들이 관광하고자 하는 목적에 따라 교통수단이나 숙박 장소의 선택과 비용, 목적지 내에서의 행동 등에 있어서 다양한 특성을 나타낸다. 현대에 들어서면서 관광행태가 가족 중심적이고 실제 체험을 중시하는 방향으로 나가고 있으며, 자신의 개별적인 호기심이나 지적 욕구를 충족시키는 방향으로 변화하는 일반적인 특성을 보이고 있다. (중략)

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Development of Gate Choice Model of Subway Station (지하철 역사에서의 출구선택 모형 개발)

  • Park, Ji-Hun;Lee, Seung-Jae;Kim, Ju-Yeong
    • Journal of Korean Society of Transportation
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    • v.28 no.1
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    • pp.15-24
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    • 2010
  • Until now, the location and the size of gate are designed by only experience and intuitive use judgement. However there are no studies that investigated how many people will be using each subway gate depending on the location of gates. Therefore, the purpose of this study is to develop a gate choice model of subway station. The most critical element of a gate choice in subway station is the location of pedestrian's destinations. In this study, the development of the regression model is constructed from data of land use characteristic of station vicinity and the number of bus route and the space structure of station vicinity(Depth concept by Space Syntax analysis and total road length of station vicinity) by using the real data of 30 subway station in Seoul. This study found that subway pedestrian flow are mainly determined by three factors; the total floor space of commercial buildings, Total Depth(space structure index of station vicinity), and the number of bus route. The verification of a proposed model is done by using the real gate pedestrian data of two subway station in Seoul; Gang-nam and Yang-jae. The additional study of how to define the gate impact area is analysed. Therefore, this study will provide the theoretical bases in decision of gate location and size when a new subway station is opened in future.

Implementing Dynamic Obstacle Avoidance of Autonomous Multi-Mobile Robot System (자율 다개체 모바일 로봇 시스템의 동적 장애물 회피 구현)

  • Kim, Dong W.;Yi, Cho-Ho
    • Journal of the Korea Society of Computer and Information
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    • v.18 no.1
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    • pp.11-19
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    • 2013
  • For an autonomous multi-mobile robot system, path planning and collision avoidance are important functions used to perform a given task collaboratively and cooperatively. This study considers these important and challenging problems. The proposed approach is based on a potential field method and fuzzy logic system. First, a global path planner selects the paths of the robots that minimize the cost function from each robot to its own target using a potential field. Then, a local path planner modifies the path and orientation from the global planner to avoid collisions with static and dynamic obstacles using a fuzzy logic system. In this paper, each robot independently selects its destination and considers other robots as dynamic obstacles, and there is no need to predict the motion of obstacles. This process continues until the corresponding target of each robot is found. To test this method, an autonomous multi-mobile robot simulator (AMMRS) is developed, and both simulation-based and experimental results are given. The results show that the path planning and collision avoidance strategies are effective and useful for multi-mobile robot systems.

A Routing Algorithm based on Deep Reinforcement Learning in SDN (SDN에서 심층강화학습 기반 라우팅 알고리즘)

  • Lee, Sung-Keun
    • The Journal of the Korea institute of electronic communication sciences
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    • v.16 no.6
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    • pp.1153-1160
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    • 2021
  • This paper proposes a routing algorithm that determines the optimal path using deep reinforcement learning in software-defined networks. The deep reinforcement learning model for learning is based on DQN, the inputs are the current network state, source, and destination nodes, and the output returns a list of routes from source to destination. The routing task is defined as a discrete control problem, and the quality of service parameters for routing consider delay, bandwidth, and loss rate. The routing agent classifies the appropriate service class according to the user's quality of service profile, and converts the service class that can be provided for each link from the current network state collected from the SDN. Based on this converted information, it learns to select a route that satisfies the required service level from the source to the destination. The simulation results indicated that if the proposed algorithm proceeds with a certain episode, the correct path is selected and the learning is successfully performed.