• Proceedings of the KOR-KST Conference
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• 2007.02a
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• pp.181-190
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• 2007

The purpose of this study is to analyze the effects of the regional characteristics on traveler's mode choice - private car, bus, and subway - by developing multinomial legit model for commuting and shopping trips respectively. In results, this study argues that the regional characteristics affecting commuting trips are very different from those influencing shopping trips. The research on the regional characteristics and their impact on the individuals' travel mode choice can find these variables have a significance.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.26 no.2D
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• pp.225-231
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• 2006

On-line shopping allows consumers to order goods via internet and receive them at homes or workplaces. Emergence of online shopping industry has brought the changes in the structure of freight industry, in the location selection pattern of industrial clusters and in the consumer's travel pattern. This trend is likely to continue, especially in Korea, as the society sees increases in women's participation in workforce, in population of the elder and in production pattern of manufacturing individually customized goods. Despite on-line shopping's heavy influence on travel demand, no study on this particular topic has been done yet, and thus the effect of on-line shopping on travel demand has not been properly reflected on policy making process. This paper suggests the transportation strategy to cope with this change based on the analysis of the effect of on-line shopping on personal travel demand.

• Proceedings of the KOR-KST Conference
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• 1998.10a
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• pp.171-180
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• 1998

본 연구의 목적은 차량주행안내시스템(CNS)이 최단거리 통행노선을 제공하였을 때 운전자 노선선택 행태를 분석하는데 있다. 본 연구에서 통행목적 및 운전자 특성에 따른 운전자의 노선선택 행태를 도출한 결과, 쇼핑통행과 레저통행시 CNS에서 제공하는 노선을 선택을 하는 경우가 많은 것으로 나타났다. 또한, CNS에서 최단거리 정보를 제공했을 경우는 운전자 특성에 따라 노선선택행태가 차이가 있으며 통행목적별로 노선선택에 영향을 미치는 운전자 특성이 달라지는 것으로 분석되었다. 본 연구의 분석을 통하여 통행목적 및 운전자 특성에 따른 운전자의노선선택 행태를 도출해 운전자 특성과 통행특성에 따른 노선선택 행태를 반영한 통행배정모형을 구출할 수 있을 것으로 기대된다.

• Journal of the Korean Geographical Society
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• v.35 no.4
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• pp.585-598
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• 2000

본 연구를 통하여 대형할인점 이용자, 재래시장 이용자, 그리고 수퍼마켓 이용자들의 각 쇼핑장소를 중심으로 한 거주지역 공간적 분포 및 쇼핑패턴의 차이를 비교한 결과. 이 세종류의 쇼핑장소 이용자들간의 각 쇼핑장소들 중심으로 한 거주지역 분포의 공간적 패턴 및 쇼핑통행 패턴은 상당한 차이를 나타내고 있다. 또한 대형할인점을 이용자를 제외한 재래시장 이용자와 슈퍼마켓 이용자들을 대상으로 그들이 이용하기를 원하는 대형할인점의 이용을 제한하는 주요 요인을 분석한 결과 통행거리, 운전면허 미소지, 자가용 승용차 미보유 등 대형할인점으로의 접근을 위한 과정에서 발생하는 제약 요인들이 가장 큰 비중을 차지하고 있는 것으로 나타난다. 이러한 점들을 볼 때, 재래시장 및 수퍼마켓이 주민들의 일상적인 쇼핑장소의 역할을 할 때와는 달리 대형할인점의 등장은 이곳으로의 주민들의 접근능력의 차이에 따라 주민들간 일상적 소비장소의 차별화가 진행될 수 있음을 시사한다. 특히 최근 대형할인점의 입지가 가속화되고 이에 따라 재래시장 및 수퍼마켓의 기능이 쇠퇴하고 있음을 고려할 때, 신체적 그리고 사회경제적 특성의 차이에 따라 대형할인점으로의 접근에 제한을 받는 주민들의 일상적 소비공간은 더욱 위축되고 고립될 가능성이 있다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.8
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• pp.4077-4085
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• 2013

The purpose of this study is to analyze relationships between compact city development and residents' shopping trips in Seoul. Compact city planning factors are classified into land use and traffic environment. The main data source used for this research is 2006 Household Travel Survey data, then a statistic analysis was carried out by applying random intercept logit model. Analysis shows that a high level of residential density increases residents' local shopping. Also, a high level of residential density and land use mix results in more uses of public transportation, bicycle and walking for shopping. Also, more access to public transportation leads to more use of public transportation for shopping. Therefore, compact city development will have a positive impact on activating the use of public transportation, bicycle and walking for shopping.

• Journal of the Korean Geographical Society
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• v.48 no.4
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• pp.545-556
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• 2013

This study sets up nodal regions for shopping and leisure with 424 district units located in Seoul and examines the characteristics of the vertical structure and the regional system. According to the higher-order analysis result, the trip for leisure forms a greater part, and about each of the nodal regions of the first stratum, major spots for origin and destination are located in the center, and those spots are connected to adjacent district units located nearby. As the factor's eigenvalue is bigger, the spatial range gets greater, too, and is located in outsides. And in the third or higher strata, either linkage between Gangnam and Gangbuk or leapfrogging linkage according to the bipolar factors is distinctive. Linkage between nodal regions centering around Jongro-gu, Jung-gu, Gangnam-gu, or Yeoungdeungpo-gu is not distinct, and in particular, the nodal regions of Jongro Geumcheon are maintained as the upper strata being independent from other nodal regions from the second or higher strata.

• Journal of Korean Society of Transportation
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• v.30 no.1
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• pp.103-112
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• 2012

This research introduces a trip generation model reflecting time-series effects derived from a panel analysis with the data collected from the national household trip surveys conducted in 1996, 2002 and 2006. The existing methods are unable to reflect time-series effects from the change of socioeconomic conditions because the parameters applied to the model were basically from the base year of study - the parameter values were unchanged. This study proposes a new trip generation model developed through a panel analysis performed with the data collected from the last three national household trip surveys. From the results, it was found that the number of school trips increases and that the number of shopping trips decreases as time passes. The results showed that there are time-series effects affecting in trip generation.

• Journal of Korean Society of Transportation
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• v.32 no.3
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• pp.187-197
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• 2014

The objective of this study is to analyze the travel behaviors of customers accessing to three different types of shopping facilities - traditional markets(TM), hyper markets(HM), and super supermarkets(SSM) - and also to find out the most desirable location for each type of shopping facilities that encourage sustainable transportation and smart urban growth. It also demonstrates what mode has the highest percentage of modal split and what is the access distance for public transport mode by each shopping facilities (SSM: 84.5% walking and 667m, TM: 20.1% bus and 1.6km, HM : 46.2% private car and 4.2km). Among TM, HM, and SSM, statistically significant differences are found in terms of mode choices and other associated travel behaviors. The research findings are expected to contribute to finding future urban planning and transportation solutions that promote walking and public transit uses for shopping trips and thus help support green transportation and sustainable urban growth.

• Proceedings of the KSR Conference
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• 2011.10a
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• pp.443-452
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• 2011

This study analyzed passenger travel patterns especially for the transfer from metro to bus by using transit smart card data. We classified three types of land use such as residential, business, and shopping area where metro stations are located. The results show that more number of transfers was observed at residential area compared to that of shopping and business area. Also, more number of transfers from metro to arterial bus was observed than that of transfers to local bus. Further, the high number of transfers to arterial bus was observed at business and shopping area. This means that the transfer to bus at metro stations varies by land use. The egress walk distance from metro station was found to be approximately 400 meters and the average walk distance of young people was found to be shorter than that of the old.

• Journal of the Economic Geographical Society of Korea
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• v.19 no.1
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• pp.68-82
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• 2016

Destination choice analysis is an important issue of transportation demand research. The current study analyses the influential factors for university students' trip destination choice. The university students differ from other population groups in many aspects. The study is concerned with shopping, leisure and amusement purposes of trips, other than obligatory trips such as going to school. University students' daily life differs from those of employees and middle and high school students in the sense that a lot of flexible activities are mixed with fixed activities such as work and school attending. A multinomial logit analysis investigates the significance of the impact of a set of variables including residential location, gender and income of the university student. The results show that these variables affect the destination choice of shopping, leisure and amusement. The analysis also provides interesting interpretation of the relationships of the variables with the location choices, which are particularly relevant to the university students.