• Title/Summary/Keyword: 이분산서열로짓모형

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A Study on the Factors Concerning Non-Work Trip of the Elderly People : A case of Seoul Metropolitan Area (고령자의 비업무통행에 영향을 미치는 요인 분석: 수도권 사례를 중심으로)

  • Hahn, Jin-Seok;Oh, Sung-Ho;Park, Jong-Il;Kim, Joon-ki
    • Journal of Korean Society of Transportation
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    • v.30 no.4
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    • pp.61-70
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    • 2012
  • This research explores different non-work trip characteristics between the elderly group (65+) and the working age group (20-64) using heteroscadastic ordered logit model. The analysis is based on travel survey data of Seoul Metropolitan area in 2006. The results show that age induces heteroscadasticity and the model provides a better fit than ordered logit model. The factors increasing the number of non-work trip of the elderly were driver's license and household income. Conversely, the number of non-work trips decreased in those groups that were male, with a job, in aging, and with the number of preschool children. The factors having opposite effects (increased the number of non-work trips in the working age groups and decreased in the elderly group) between the elderly group and working age group were age and job.

A Study on the Characteristics of Urban Truck Movement for the Truck based Urban Freight Demand Model (화물자동차기반 대도시 화물수요모형 구축을 위한 화물자동차 통행특성 분석)

  • Hahn, Jin-Seok;Park, Min-Choul;Sung, Hong-Mo;Kim, Hyung-Bum
    • Journal of Korean Society of Transportation
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    • v.30 no.3
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    • pp.107-118
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    • 2012
  • The purpose of the study is to analyze the travel characteristics of freight trucks in metropolitan areas, focusing on activity generation, destination choice, and trip chaining behaviors. The results showed that the number of service companies at departure areas has a primary influence on the activity generation pattern and destination choice behavior of trucks in metropolitan areas. The number of trips within a trip chain is largest, in case where the prevailing industry in destination areas is wholesale or retail and the shipment item is food or beverage. These results imply that for the reasonable estimation of truck travel demand both the trip chaining behaviors and the industrial compositions in departure and destination areas should be separately considered for each type of commodity.