• Title/Summary/Keyword: 통행시간지출

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A Route Choice Model with Considering Fuel Cost by Travel Distance (통행거리에 따른 유류비를 반영한 경로선택모형 개발)

  • Park, Bora;Lee, Jaeyoung;Choi, Keechoo;Song, Pilyong
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.30 no.6D
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    • pp.599-604
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    • 2010
  • In this study, the value of travel time was estimated with reflecting the fuel cost according to travel distance. The main objective of this study is whether the addition of the fuel cost as a factor for route choice behavior is appropriate or not, through the stated preference survey. The route choice model was developed using SP survey technique with the consideration of level difference and the value of travel time, toll and fuel costs. Consequently, the fuel cost is identified as a main factor like travel time and toll cost in choosing routes from drivers' viewpoints. Nevertheless, since toll costs are recognized as out-of-pocket expenses whereas fuel costs as periodical expenses, it seems drivers are more sensitive to toll than fuel costs.

A Travel Time Budget Estimation Using a Mobile Phone Signaling Data (통신 빅데이터를 활용한 통행시간예산 산출 연구)

  • Chung, Younshik;Nam, Sanggi;Song, Tai-Jin
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.38 no.3
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    • pp.457-465
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    • 2018
  • This study proposes a novel approach to explore a "travel time budget (TTB)" using a mobile phone signaling data (MPSD), which are passively generated between a mobile phone and a base station. The data analyzied in this study were provided from KT for 8 days (from May 19 to 26 in 2016). They were about 45 million signals passively generated from users whose stay area during night was classified as three areas in Mapo-gu, Seoul and in the city of Sejong. The estmation of TTB was implemented with various pre-processing techniques on the MPSD data in a data-driven analysis. As a result, the TTBs of Mapo-gu, Seoul and Sejong were 82.94 and 80.70 minutes, respectively. The results in this study were also compared with those based on the traditional methods. The authors expect that this result will help transport experts improve the use of MPSD.