Analysis of Factors Affecting Travel Time Considering Travel Purpose

Jahun Koo; Sangho Choo

doi:10.7470/jkst.2021.39.5.697

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2021 Vol.39, Issue 5 Preview Page

Article

Analysis of Factors Affecting Travel Time Considering Travel Purpose 통행목적을 고려한 통행시간 영향요인 분석

31 October 2021. pp. 697-709

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Abstract

A day consists of 24 hours, and people perform a variety of activities during the time period. Travel time is related to activities, since travel is derived demand. According to the travel time budget theory, the average travel time appears to be constant over time. However, travel time by purpose affects each other given that the total travel time is constant. Therefore, this study aims to analyze factors to influence the changes of travel time by purpose considering their correlations. The data for this analysis come from the time use survey data of Statistics Korea in 2009 and 2019, focused on people over school age. Prior to modeling, we conducted a correlation analysis, resulting in significant correlations of all pairs of travel times by purpose. Accordingly, a seemingly unrelated regression model was developed. The results of the model are as follows. First, it was found that both population density and urban ratio had positive influences on travel time. Second, the individual variables are more significant than the household variables in the model. Third, the effect of the number of trips on travel time by purpose gradually increased over time. These results can be useful for establishing transport policy strategies related to travel time.

Keywords

seemingly unrelated regression

time use survey

travel purpose

travel time budget

travel time

하루는 24시간으로 제약되어 있으며, 사람들은 저마다 다양한 활동을 수행한다. 통행은 파생수요라는 특성이 존재하기 때문에, 통행시간 역시 다른 활동시간에 영향을 받는다. 이에 반해, 통행시간예산 이론에 따르면 하루 평균 통행시간은 비교적 일정한 것으로 나타난다. 종합해보면, 하루 전체 통행시간은 비교적 일정하며, 통행시간은 다양한 활동에 영향을 받는다는 결론을 도출할 수 있다. 이를 살펴보기 위해 본 연구에서는 목적별 통행시간의 상관성을 고려하여 활동시간에 따른 통행시간 변화를 살펴보고자 한다. 분석자료는 통계청에서 제공하는 2009년 및 2019년 생활시간 조사자료를 활용하였으며, 분석목적을 고려하여 전국 학령이상 인구 데이터를 활용하였다. 본 분석에 앞서 상관성 분석을 수행하였으며, 목적별 통행시간은 모두 상관성이 존재하는 것으로 나타났다. 따라서 오차항 간 상관성을 고려할 수 있는 겉보기 무관 회귀모형을 활용하였다. 분석 결과는 다음과 같다. 첫째, 인구밀도 및 도시비율변수는 모두 양의 영향력이 존재하는 것으로 나타났다. 둘째, 가구관련변수에 비해 개인관련변수에서 유의한 변수가 더 많은 것으로 나타났다. 셋째, 모든 목적통행에서 통행횟수 영향력이 점차 증가하는 것으로 분석되었다.

키워드

겉보기 무관 회귀모형

생활시간조사

통행목적

통행시간예산

통행시간

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Information

Publisher :Korean Society of Transportation
Publisher(Ko) :대한교통학회
Journal Title :Journal of Korean Society of Transportation
Journal Title(Ko) :대한교통학회지
Volume : 39
No :5
Pages :697-709
Received Date : 2021-06-18
Revised Date : 2021-07-10
Accepted Date : 2021-08-17
DOI :https://doi.org/10.7470/jkst.2021.39.5.697

Journal of Korean Society of Transportation ISSN:1229-1366(Print) 2234-4217(Online) 대한교통학회지

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