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Anders Karlström

Biographic Data

ID6580875
NAMEAnders Karlström
GIVEN NAMESAnders
FAMILY NAMEKarlström
SIGNATUREKARLSTRÖM A
AFFILIATIONSKTH Royal Institute of Technology
ORCID0000-0001-5290-6101
VERIFIEDYes
TOTAL WORKS9
TOTAL CITATIONS7
AUTHOR COUNT9
EDITOR COUNT0
FIRST PUBLICATION YEAR2002
LATEST PUBLICATION YEAR2026
H-INDEX2
  • Dynamic scheduling modelling of congestion pricing: Assessing travel behaviour and welfare impacts in Greater Helsinki

    Open Access•Qian Wang, Daniel Jönsson et al.•ARTICLE•Transport Policy•2026

    Congestion charging systems have emerged as a promising policy tool for mitigating traffic congestion and reducing emissions in urban areas. This study applies a dynamic activity scheduling model to assess the effects of congestion pricing in the Greater Helsinki region. By simulating daily activity patterns and travel behaviour, we analyse the impacts of congestion charges on mode choice, destination selection, and departure time adjustments. Ou…

  • Modelling scenarios in planning for future employment growth in Stockholm

    Open Access•Stephen Mccarthy, Fatemeh Naqavi et al.•ARTICLE•Journal of Transport Geography•2024•References: 5

    The City of Stockholm is conducting a scenario planning exercise to explore where potential future office development should be planned: closer to the city centre as in the status quo, in peripheral hubs on the outskirts of the city, or dispersed throughout multiple neighbourhoods. To support this exercise, this paper models these three scenarios using a nested work location and dynamic activity-based scheduling model. Our model predicts that hig…

  • On complexity and variability of individuals’ discretionary activities

    Open Access•Dimas Bayu Endrayana Dharmowijoyo, Yusak O Susilo et al.•ARTICLE•Transportation•2018

    Using a hierarchical structured equation model and a multi-dimensional 3-week household time-use and activity diary conducted in Bandung Metropolitan Area, Indonesia, this study investigated the interaction among individuals’ non-instrumental variables, time space (such as their day-to-day time duration of activity participation, socio-demographics and built environment), and health factors on individuals’ day-to-day discretionary activities. The…

  • Analysing the complexity of day-to-day individual activity-travel patterns using a multidimensional sequence alignment model: A case study in the Bandung Metropolitan Area, Indonesia

    Open Access•Dimas Bayu Endrayana Dharmowijoyo, Yusak O Susilo et al.•ARTICLE•Journal of Transport Geography•2017•Cited by: 3•References: 3

  • Day-to-day variability in travellers’ activity-travel patterns in the Jakarta metropolitan area

    Open Access•Dimas Bayu Endrayana Dharmowijoyo, Yusak O Susilo et al.•ARTICLE•Transportation•2016

  • Measuring the impacts of weather variability on home-based trip chaining behaviour: A focus on spatial heterogeneity

    Open Access•Chengxi Liu, Yusak O Susilo et al.•ARTICLE•Transportation•2016

  • Relationships among discretionary activity duration, its travel time spent and activity space indices in the Jakarta Metropolitan Area, Indonesia

    Open Access•Dimas Bayu Endrayana Dharmowijoyo, Yusak O Susilo et al.•ARTICLE•Journal of Transport Geography•2016•Cited by: 3•References: 4

  • Examining the impact of weather variability on non-commuters’ daily activity–travel patterns in different regions of Sweden

    Open Access•Chengxi Liu, Yusak O Susilo et al.•ARTICLE•Journal of Transport Geography•2014•Cited by: 1•References: 3

  • Hybrid Choice Models: Progress and Challenges

    Open Access•Moshe Ben-Akiva, Moshe Ben‐Akiva et al.•ARTICLE•Marketing Letters•2002

  • Analysing the complexity of day-to-day individual activity-travel patterns using a multidimensional sequence alignment model: A case study in the Bandung Metropolitan Area, Indonesia

    Open Access•Dimas Bayu Endrayana Dharmowijoyo, Yusak O Susilo et al.•ARTICLE•Journal of Transport Geography•2017•Cited by: 3•References: 3

  • Relationships among discretionary activity duration, its travel time spent and activity space indices in the Jakarta Metropolitan Area, Indonesia

    Open Access•Dimas Bayu Endrayana Dharmowijoyo, Yusak O Susilo et al.•ARTICLE•Journal of Transport Geography•2016•Cited by: 3•References: 4

  • Examining the impact of weather variability on non-commuters’ daily activity–travel patterns in different regions of Sweden

    Open Access•Chengxi Liu, Yusak O Susilo et al.•ARTICLE•Journal of Transport Geography•2014•Cited by: 1•References: 3

  • Hybrid Choice Models: Progress and Challenges

    Open Access•Moshe Ben-Akiva, Moshe Ben‐Akiva et al.•ARTICLE•Marketing Letters•2002

  • Examining the impact of weather variability on non-commuters’ daily activity–travel patterns in different regions of Sweden

    Open Access•Chengxi Liu, Yusak O Susilo et al.•ARTICLE•Journal of Transport Geography•2014•Cited by: 1•References: 3

  • Day-to-day variability in travellers’ activity-travel patterns in the Jakarta metropolitan area

    Open Access•Dimas Bayu Endrayana Dharmowijoyo, Yusak O Susilo et al.•ARTICLE•Transportation•2016

  • Measuring the impacts of weather variability on home-based trip chaining behaviour: A focus on spatial heterogeneity

    Open Access•Chengxi Liu, Yusak O Susilo et al.•ARTICLE•Transportation•2016

  • Relationships among discretionary activity duration, its travel time spent and activity space indices in the Jakarta Metropolitan Area, Indonesia

    Open Access•Dimas Bayu Endrayana Dharmowijoyo, Yusak O Susilo et al.•ARTICLE•Journal of Transport Geography•2016•Cited by: 3•References: 4

  • Analysing the complexity of day-to-day individual activity-travel patterns using a multidimensional sequence alignment model: A case study in the Bandung Metropolitan Area, Indonesia

    Open Access•Dimas Bayu Endrayana Dharmowijoyo, Yusak O Susilo et al.•ARTICLE•Journal of Transport Geography•2017•Cited by: 3•References: 3

  • On complexity and variability of individuals’ discretionary activities

    Open Access•Dimas Bayu Endrayana Dharmowijoyo, Yusak O Susilo et al.•ARTICLE•Transportation•2018

    Using a hierarchical structured equation model and a multi-dimensional 3-week household time-use and activity diary conducted in Bandung Metropolitan Area, Indonesia, this study investigated the interaction among individuals’ non-instrumental variables, time space (such as their day-to-day time duration of activity participation, socio-demographics and built environment), and health factors on individuals’ day-to-day discretionary activities. The…

  • Modelling scenarios in planning for future employment growth in Stockholm

    Open Access•Stephen Mccarthy, Fatemeh Naqavi et al.•ARTICLE•Journal of Transport Geography•2024•References: 5

    The City of Stockholm is conducting a scenario planning exercise to explore where potential future office development should be planned: closer to the city centre as in the status quo, in peripheral hubs on the outskirts of the city, or dispersed throughout multiple neighbourhoods. To support this exercise, this paper models these three scenarios using a nested work location and dynamic activity-based scheduling model. Our model predicts that hig…

  • Dynamic scheduling modelling of congestion pricing: Assessing travel behaviour and welfare impacts in Greater Helsinki

    Open Access•Qian Wang, Daniel Jönsson et al.•ARTICLE•Transport Policy•2026

    Congestion charging systems have emerged as a promising policy tool for mitigating traffic congestion and reducing emissions in urban areas. This study applies a dynamic activity scheduling model to assess the effects of congestion pricing in the Greater Helsinki region. By simulating daily activity patterns and travel behaviour, we analyse the impacts of congestion charges on mode choice, destination selection, and departure time adjustments. Ou…

Urban Transport and Accessibility (8 works) · Geography (7 works) · Transportation Planning and Optimization (7 works) · Engineering (6 works) · Transport engineering (6 works) · Economics (5 works) · Metropolitan area (4 works) · Business (3 works) · Computer Science (3 works) · Demographic economics (3 works)

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