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Dongjoo Park

Biographic Data

ID6310914
NAMEDongjoo Park
GIVEN NAMESDongjoo
FAMILY NAMEPark
SIGNATUREPARK D
AFFILIATIONSUniversity of Seoul
ORCID0000-0002-6330-4437
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS0
WORKS AS AUTHOR4
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2005
LATEST PUBLICATION YEAR2024
H-INDEX0
  • Efficiency variations of integrated urban transit stations before and during the Covid-19 pandemic

    Open Access•Reuben Tamakloe, Joongkwon Lee et al.•ARTICLE•Cities•2024•References: 53

  • Profiling of Clusters of Activity‐Travel Sequences Using a Genetic Algorithm

    Open Access•Dongjoo Park, Yong‐hyun Jeon et al.•ARTICLE•Geographical Analysis•2021

    Classification of similar travel behavior is essential for market segmentation research in geography and transportation science. Cluster analysis using sequence alignment measurement incorporates the sequential information embedded in activity‐travel sequences. The resultant clusters are then typically associated with the relevant variables. However, although the sequences are clustered by similar sequential information, the summary of the cluste…

  • Identifying optimal data aggregation interval sizes for link and corridor travel time estimation and forecasting

    Open Access•Dongjoo Park, Laurence R Rilett et al.•ARTICLE•Transportation•2009

  • Incorporating Uncertain and Incomplete Subjective Judgments into the Evaluation Procedure of Transportation Demand Management Alternatives

    Open Access•Parinya Tanadtang, Dongjoo Park et al.•ARTICLE•Transportation•2005

No prominent works on this page.

  • Incorporating Uncertain and Incomplete Subjective Judgments into the Evaluation Procedure of Transportation Demand Management Alternatives

    Open Access•Parinya Tanadtang, Dongjoo Park et al.•ARTICLE•Transportation•2005

  • Identifying optimal data aggregation interval sizes for link and corridor travel time estimation and forecasting

    Open Access•Dongjoo Park, Laurence R Rilett et al.•ARTICLE•Transportation•2009

  • Profiling of Clusters of Activity‐Travel Sequences Using a Genetic Algorithm

    Open Access•Dongjoo Park, Yong‐hyun Jeon et al.•ARTICLE•Geographical Analysis•2021

    Classification of similar travel behavior is essential for market segmentation research in geography and transportation science. Cluster analysis using sequence alignment measurement incorporates the sequential information embedded in activity‐travel sequences. The resultant clusters are then typically associated with the relevant variables. However, although the sequences are clustered by similar sequential information, the summary of the cluste…

  • Efficiency variations of integrated urban transit stations before and during the Covid-19 pandemic

    Open Access•Reuben Tamakloe, Joongkwon Lee et al.•ARTICLE•Cities•2024•References: 53

Transportation Planning and Optimization (4 works) · Computer Science (3 works) · Engineering (3 works) · Artificial Intelligence (2 works) · Artificial Intelligence (2 works) · Data mining (2 works) · Economics (2 works) · Geography (2 works) · Mathematics (2 works) · Operations research (2 works)

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