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Chang‐hyeon Joh

Biographic Data

ID4861335
NAMEChang‐hyeon Joh
GIVEN NAMESChang‐hyeon
FAMILY NAMEJoh
SIGNATUREJOH C H
AFFILIATIONSEindhoven University of Technology
ORCID0000-0001-5426-7905
VERIFIEDYes
TOTAL WORKS6
TOTAL CITATIONS49
AUTHOR COUNT6
EDITOR COUNT0
FIRST PUBLICATION YEAR2001
LATEST PUBLICATION YEAR2021
H-INDEX3
  • 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…

  • Tourism Behaviour in Seoul: An Analysis of Tourism Activity Sequence using Multidimensional Sequence Alignments

    Hyuk-Jin Lee, Chang-Hyeon Joh et al.•ARTICLE•Tourism Geographies•2010•Cited by: 5•References: 18

    The analysis of tourism behaviour as an outcome of individual decision making has recently been an emerging focus in tourism research. The conventional approach to the analysis of tourism behaviour typically associates a particular choice behaviour with some travel motivations or a priori selected socio-demographic characteristics. The results do not account for the underlying mechanism of the tourist's complex sequential decision making. This st…

  • A Utility-Based Analysis of Activity Time Allocation Decisions Underlying Segmented Daily Activity-Travel Patterns

    Open Access•Chang-Hyeon Joh, Chang‐hyeon Joh et al.•ARTICLE•Environment and Planning A…•2005•Cited by: 2•References: 12

    This paper reports the results of an application of the Aurora model to estimate the utility functions underlying activity-duration decisions in daily activity-travel patterns. Multidimensional sequence alignment is used to derive segments for activity-travel diary data, collected in the Amsterdam-Utrecht corridor in the Netherlands. The profiles of the resulting segments are derived from a descriptive analysis of sociodemographic variables. A ta…

  • Analysing space-time behaviour: New approaches to old problems

    Open Access•Harry Timmermans, Theo Arentze et al.•ARTICLE•Progress in Human Geography•2002•Cited by: 31•References: 1

    Time geography had led geographers to analyse and model activity-travel patterns since the 1970s. The notion that activity-travel patterns are highly constrained has been frequently used in analytical studies and models of space-time behaviour. The popularity of this field of research lost most of its momentum in geography in the 1990s, but is now the dominant approach among civil engineers in transportation research. This paper critically review…

  • Vacation behavior using a sequence alignment method

    Open Access•B Bargeman, Chang-Hyeon Joh et al.•ARTICLE•Annals of Tourism Research•2002•Cited by: 8•References: 36

  • A Position-Sensitive Sequence-Alignment Method Illustrated for Space-Time Activity-Diary Data

    Open Access•Chang-Hyeon Joh, Chang‐hyeon Joh et al.•ARTICLE•Environment and Planning A…•2001•Cited by: 3•References: 15

    Sequence-alignment methods which have been recently introduced in time-use research analyse the cross-sectional as well as the sequential information embedded in space-time activity-diary data. As these methods have been developed to trace the evolutionary history of random mutations of the elements in biological sequences, they are not appropriate to measure the distances by which activities change their sequential order in activity diaries. In …

  • Analysing space-time behaviour: New approaches to old problems

    Open Access•Harry Timmermans, Theo Arentze et al.•ARTICLE•Progress in Human Geography•2002•Cited by: 31•References: 1

    Time geography had led geographers to analyse and model activity-travel patterns since the 1970s. The notion that activity-travel patterns are highly constrained has been frequently used in analytical studies and models of space-time behaviour. The popularity of this field of research lost most of its momentum in geography in the 1990s, but is now the dominant approach among civil engineers in transportation research. This paper critically review…

  • Vacation behavior using a sequence alignment method

    Open Access•B Bargeman, Chang-Hyeon Joh et al.•ARTICLE•Annals of Tourism Research•2002•Cited by: 8•References: 36

  • Tourism Behaviour in Seoul: An Analysis of Tourism Activity Sequence using Multidimensional Sequence Alignments

    Hyuk-Jin Lee, Chang-Hyeon Joh et al.•ARTICLE•Tourism Geographies•2010•Cited by: 5•References: 18

    The analysis of tourism behaviour as an outcome of individual decision making has recently been an emerging focus in tourism research. The conventional approach to the analysis of tourism behaviour typically associates a particular choice behaviour with some travel motivations or a priori selected socio-demographic characteristics. The results do not account for the underlying mechanism of the tourist's complex sequential decision making. This st…

  • A Position-Sensitive Sequence-Alignment Method Illustrated for Space-Time Activity-Diary Data

    Open Access•Chang-Hyeon Joh, Chang‐hyeon Joh et al.•ARTICLE•Environment and Planning A…•2001•Cited by: 3•References: 15

    Sequence-alignment methods which have been recently introduced in time-use research analyse the cross-sectional as well as the sequential information embedded in space-time activity-diary data. As these methods have been developed to trace the evolutionary history of random mutations of the elements in biological sequences, they are not appropriate to measure the distances by which activities change their sequential order in activity diaries. In …

  • A Utility-Based Analysis of Activity Time Allocation Decisions Underlying Segmented Daily Activity-Travel Patterns

    Open Access•Chang-Hyeon Joh, Chang‐hyeon Joh et al.•ARTICLE•Environment and Planning A…•2005•Cited by: 2•References: 12

    This paper reports the results of an application of the Aurora model to estimate the utility functions underlying activity-duration decisions in daily activity-travel patterns. Multidimensional sequence alignment is used to derive segments for activity-travel diary data, collected in the Amsterdam-Utrecht corridor in the Netherlands. The profiles of the resulting segments are derived from a descriptive analysis of sociodemographic variables. A ta…

  • A Position-Sensitive Sequence-Alignment Method Illustrated for Space-Time Activity-Diary Data

    Open Access•Chang-Hyeon Joh, Chang‐hyeon Joh et al.•ARTICLE•Environment and Planning A…•2001•Cited by: 3•References: 15

    Sequence-alignment methods which have been recently introduced in time-use research analyse the cross-sectional as well as the sequential information embedded in space-time activity-diary data. As these methods have been developed to trace the evolutionary history of random mutations of the elements in biological sequences, they are not appropriate to measure the distances by which activities change their sequential order in activity diaries. In …

  • Analysing space-time behaviour: New approaches to old problems

    Open Access•Harry Timmermans, Theo Arentze et al.•ARTICLE•Progress in Human Geography•2002•Cited by: 31•References: 1

    Time geography had led geographers to analyse and model activity-travel patterns since the 1970s. The notion that activity-travel patterns are highly constrained has been frequently used in analytical studies and models of space-time behaviour. The popularity of this field of research lost most of its momentum in geography in the 1990s, but is now the dominant approach among civil engineers in transportation research. This paper critically review…

  • Vacation behavior using a sequence alignment method

    Open Access•B Bargeman, Chang-Hyeon Joh et al.•ARTICLE•Annals of Tourism Research•2002•Cited by: 8•References: 36

  • A Utility-Based Analysis of Activity Time Allocation Decisions Underlying Segmented Daily Activity-Travel Patterns

    Open Access•Chang-Hyeon Joh, Chang‐hyeon Joh et al.•ARTICLE•Environment and Planning A…•2005•Cited by: 2•References: 12

    This paper reports the results of an application of the Aurora model to estimate the utility functions underlying activity-duration decisions in daily activity-travel patterns. Multidimensional sequence alignment is used to derive segments for activity-travel diary data, collected in the Amsterdam-Utrecht corridor in the Netherlands. The profiles of the resulting segments are derived from a descriptive analysis of sociodemographic variables. A ta…

  • Tourism Behaviour in Seoul: An Analysis of Tourism Activity Sequence using Multidimensional Sequence Alignments

    Hyuk-Jin Lee, Chang-Hyeon Joh et al.•ARTICLE•Tourism Geographies•2010•Cited by: 5•References: 18

    The analysis of tourism behaviour as an outcome of individual decision making has recently been an emerging focus in tourism research. The conventional approach to the analysis of tourism behaviour typically associates a particular choice behaviour with some travel motivations or a priori selected socio-demographic characteristics. The results do not account for the underlying mechanism of the tourist's complex sequential decision making. This st…

  • 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…

Computer Science (6 works) · Urban Transport and Accessibility (4 works) · Biology (3 works) · Human Mobility and Location-Based Analysis (3 works) · Transportation Planning and Optimization (3 works) · Artificial Intelligence (2 works) · Data mining (2 works) · Data science (2 works) · Diverse Aspects of Tourism Research (2 works) · Engineering (2 works)

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