• Title/Summary/Keyword: Household Travel Diary Survey

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An Activity-Based Analysis of Heavy-Vehicle Trip Chains (우리나라 대형 화물차의 통행사슬 분석:활동기반모형 적용)

  • Joh, Chang-Hyeon;Kim, Chan-Sung;Seong, Hong-Mo
    • Journal of the Economic Geographical Society of Korea
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    • v.11 no.2
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    • pp.192-202
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    • 2008
  • Typical activity-based travel analysis has been focused on passenger travel using household survey data. The current research focuses on freight transport using one-day travel survey data. Passenger travel can be seen as the outcome of traveller's subjective decision-making, whereas freight transport is the outcome of shipper or transport company's optimized scheduling. The research conducts an activity-based analysis of freight-vehicle trip chains. In particular, the research focuses on the difference in travel pattern between shipper-oriented private vehicle and transport company-oriented business vehicle. The research analyzed the travel diary of freight vehicles collected as part of the third national logistic survey in 2005. The diary is freight driver's one-day travel record including the information of loading capacity, item transported, destination, arrival time, etc. The analysis results show the difference between private and business vehicles in the travel pattern regarding the sequences of destination, destination type and item transported and the multi-dimensional information of the three sequences.

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Exploring Characteristics on Trip Chaining: the Case of Seoul (통행사슬 특성 분석에 관한 연구 (서울시 사례를 중심으로))

  • Choo, Sang-Ho;Kwon, Sae-Na;Kim, Dong-Ho
    • Journal of Korean Society of Transportation
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    • v.26 no.4
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    • pp.87-97
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    • 2008
  • The traditional trip-based modeling approach has assumed that a trip is generated for a purpose. However, the approach has not considered trips as a set of connected trips nor has it considered trip chaining. The purpose of this study is to identify general characteristics of trip chaining, and to explore relationships between trip purposes and trip chains using multivariate regression models. The data for this study come from the 2006 Seoul household travel diary survey. It is found that simple trip chains are dominant phenomena, and socio-economic characteristics such as occupation, income, age, and gender are closely related to types of trip chains. People aged less than 20, females, or high-income people are more likely to have a higher number of home-based trip chains. In addition, commute and school trips for workers and students respectively tend to be strongly associated with simple trip chains, while shopping and leisure trips for housewives tend to be related to simple trip chains.

A Study on Trip Generation Model considering Trip-chaining by Behavioral Homogeneous Person Group ("유사 통행행태 집단"의 Trip-chaining을 고려한 통행발생 모형)

  • Lee, Seon-Ha;Yun, Jin-Suk
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.26 no.5D
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    • pp.709-716
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    • 2006
  • The rapid changes of family structure such as singles, working couples and so on have effects on a travel behaviour. One of the characteristics from this is the increasing portion of trip-chain, in which plural activities were conducted in a "single outgoing" travel. Therefore travel must be considered as location change to conduct various activities instead of pursuing single travel purpose. This paper specifies a behavioral homogeneous person group by a job, a possession of cars. Based on this classification of person groups and their activity diary, the sequence, time and travel mode of activities in a day can be verified. As a case study household survey was conducted in city Kongju. The survey result shows that the classification of behavioral homogeneous person group based on criteria like employment status and car ownership bring a good result to forecast trip generation in traffic zone.

Analysis of Impact on Commuting Behavior in Urban and Rural Areas using Travel Diary Survey Data (가구통행실태조사 데이터를 이용한 도시지역과 농촌지역의 통근시간에 미치는 영향 비교 분석)

  • Jeon, Jeongbae;Park, Meejeong;Kim, Sangmin;Kim, Solhee;Kwon, Sung Moon
    • Journal of Korean Society of Rural Planning
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    • v.25 no.3
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    • pp.77-87
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    • 2019
  • This study is to identify the factors affecting commuting time and modes in urban and rural areas using household traffic survey data. The findings indicated that commuting time using passenger car in rural areas was 1.6 times longer than those in urban areas. When citizen use public transportation, however, there was not much difference in commuting time in urban and rural areas. Among the various factors affecting commuting time in rural areas (13 factors have statistical significance), the most influential factors were that public transportation, managers and office workers, functional and device managers, and passenger car. In urban areas, the highly influential factors were public transportation and walking among the 16 affecting factors which have statistical significance. The commuting time in rural areas increased according to the occupation types, but the commuting time of full-time workers decreased. This phenomenom means that occupation groups with the full-time system prefer residential areas in the densely populated town.

Analyzing Factors to Affect Trip Mode Chaining Behavior Using Travel Diary Survey Data in Seoul (가구통행실태조사 자료를 활용한 서울시 연계수단 통행행태의 영향요인 분석 연구)

  • Kim, Su jae;Choo, Sang ho;Kim, Ji yoon;Han, Jae yoon
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.17 no.1
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    • pp.55-70
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    • 2018
  • Recently, as shared transportation services has expanded, integrated mobility services that link personal transportation and public transportation are paid attention. To do this, it is necessary to analyze trip mode chaining behavior. This study analyzed the characteristics of the trip mode chaining behavior using the 2010 travel diary survey in Seoul, and analyzed factors to affect mode choice of trip chaining through the multinomial logit model. The transportation means were classified into passenger cars, city buses, intercity buses, railways, taxis, and others, and 25 trip mode chaining types were identified. Among them, the trip share connected between city bus and railways was the highest. It was also found that the trip mode chaining occurred mainly at commuting and in the morning and afternoon peak. According to the model results, the mode choice of trip chaining is significantly influenced by individual attributes (sex and age), household attributes (car ownership and income), trip attributes (trip purpose, trip time and trip length), and arrival area attributes (number of subway lines and bus lines, ratio of commercial area, land use mix and central region).

The effect of income - mix on place attachment as civic pride in Seoul - Using the Seoul Survey - (거주지역의 소득혼합수준이 시민 자부심으로서의 장소애착심에 미치는 영향 - 서울서베이를 활용하여 -)

  • Cho, Minji;Lim, Up
    • Journal of the Korean Regional Science Association
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    • v.32 no.3
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    • pp.3-15
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    • 2016
  • The purpose of this paper is to examine the effect of income-mix on place attachment as civic pride in Seoul. Place attachment and social mix are considered important in urban planning. However, place attachment is frequently thought to form more strongly in the homogeneous area. On the other hand, social mix policy is aimed to form more heterogenous area. So, the two concepts are thought to be incompatible. This paper focused on the income-mix which is kind of social mix, and used the 2013 "Seoul Survey" and 2010 "Household Travel Diary Survey" data. Based on the review of the literature, we used the civic pride in Seoul as the indicator of place attachment. The results of this paper indicate that the degree of income-mix increases, place attachment in Seoul also increases. Also, it appears that as regional income levels get higher, the effects of income-mix on place attachment decrease.

Developing a Latent Class Model Considering Heterogeneity in Mode Choice Behavior : A Case of Commuters in Seoul (수단선택의 이질성을 고려한 잠재계층모형(Latent Class Model) 구축: 서울시 통근자를 사례로)

  • Kim, Sung Hoo;Choo, Sangho
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.18 no.2
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    • pp.44-57
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    • 2019
  • It is crucial to understand how people make decisions on mode choice and to accurately predict their behaviors in transportation planning. One of avenues for advancing modeling is, in particular, taking into account for taste heterogeneity in modeling that can incorporate different decision-making processes across group. In this study, we hypothesize that how people make decisions on mode choice would differ by destination in that land use characteristics are heterogeneous by zone even if zones are all in the same area. To this end, we apply Latent Class Modeling (LCM) to commute trips in Seoul by using 2010 household travel diary survey, investigate types of latent classes with the aid of characteristics of destination, and analyze how those classes differently response to factors. The LCM identifies two classes: in the first one, modal split of auto and public transit (bus and metro) is almost half-and-half and the trip destinations are characterized by relatively more residence facilities and less business/commercial facilities; in the second one, public transit has a notably high share and trip destinations are characterized by relatively more business/commercial facilities. In addition, it turns out that demographic and socio-economic variables affect mode choice differently by class.