Mobility Compass

Discover mobility and transportation research. Find experts, partners, networks.

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The Mobility Compass is an open tool for improving networking and interdisciplinary exchange within mobility and transport research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

To Graph

8.284 Topics available

To Map

890 Locations available

479.575 PEOPLE
479.575 People People

479.575 People

Show results for 479.575 people that are selected by your search filters.

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PeopleLocationsStatistics
Ziakopoulos, ApostolosAthens
  • 17
  • 87
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  • 2023
Vigliani, AlessandroTurin
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  • 43
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  • 2023
Catani, JacopoRome
  • 2
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Statheros, ThomasStevenage
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Utriainen, RoniTampere
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Guglieri, GiorgioTurin
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Martínez Sánchez, Joaquín
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Tobolar, Jakub
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Volodarets, M.
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Piwowar, Piotr
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Tennoy, AudOslo
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Matos, Ana Rita
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Cicevic, Svetlana
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Sommer, CarstenKassel
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Liu, Meiqi
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Pirdavani, AliHasselt
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Niklaß, Malte
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Lima, PedroBraga
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Turunen, Anu W.
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Antunes, Carlos Henggeler
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Krasnov, Oleg A.
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Lopes, Joao P.
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Turan, Osman
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Lučanin, VojkanBelgrade
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Tanaskovic, Jovan
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Joh, Chang-Hyeon

  • Google
  • 14
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in Cooperation with on an Cooperation-Score of 37%

Topics

  • data
  • estimate
  • variable
  • attention
  • behavior
  • pedestrian
  • environmental impact
  • data file
  • travel
  • weather
  • foundation
  • walkway
  • walkability
  • cognition
  • government
  • multinomial logit
  • survey
  • structural engineering
  • mechanical engineering
  • scheduling
  • employee
  • timetable
  • student
  • modeling
  • traffic behavior
  • flexibility
  • decision making
  • internet
  • positioning
  • alignment
  • employed
  • chain
  • household
  • pressure
  • metropolitan area
  • travel survey
  • hour of labor
  • livability
  • spatial analysis
  • weight
  • smart card
  • pandemic
  • life style
  • fear
  • disaster
  • industry
  • geography
  • city
  • Statistic
  • traveller
  • learning
  • architecture
  • position fixing
  • gender
  • rural area
  • global positioning system
  • travel pattern
  • covariance
  • public transport
  • age
  • human being
  • poison
  • education
  • economics
  • occupation
  • physical disability
  • mode choice
  • family
  • ergonomics
  • advertising
  • human factor
  • trip purpose
  • case study
  • contaminant
  • forecasting
  • infrastructure
  • simulation
  • picture
  • census
  • computer science
  • mining
  • data mining
  • exploration
  • travel diary
  • implementation
  • machinery
  • machine learning
  • intelligence
  • experiment
  • sequencing
  • music
  • chemical element
  • artificial intelligence
  • male
  • stringer
  • biology
  • female
  • skeletal system
  • show 68 more
  • show less

Publications

  • 2021Editorialcitations
  • 2018Investigating Pedestrian Walkability using a Multitude of Seoul Data Sources7citations
  • 2018Empirical Analysis of Factors Affecting the Resolution of Activity-Scheduling Conflicts10citations
  • 2018Analysis of factors affecting the frequency and type of activity schedule modification16citations
  • 2018Characterizing Global Activity Schedule Adjustment Behavior by Using a Sequence Alignment Method8citations
  • 2018How does work activity affect quality of life?: A spatial analysis of trip chain behavior1citations
  • 2017Exposure to fear: Changes in travel behavior during MERS outbreak in Seoul59citations
  • 2014Analyzing changes in travel behavior in time and space using household travel surveys in Seoul Metropolitan Area over eight years25citations
  • 2014Sequence Alignment Analysis of Variability in Activity Travel Patterns through 8 Weeks of Diary Data18citations
  • 2013Analysis of Elderly Travel Patterns in Seoul Metropolitan Area, South Korea, through Sequence Alignment and Motif Search2citations
  • 2012Seoul activity-based model: An Application of Feathers Solutions to Seoul Metropolitan Area3citations
  • 2011Applying sequential alignment methods to large activity-travel data sets: exploration of a heuristic approach10citations
  • 2008Improved motif identification of activity sequences : application to interactive computer experiment data7citations
  • 2008Identifying Skeletal Information of Activity Patterns by Multidimensional Sequence Alignment9citations

Places of action

Chart of shared publication
Janssens, Davy
3 / 344 shared
BELLEMANS, Tom
2 / 231 shared
Wets, Geerts
2 / 611 shared
Choi, Kee-Choo
4 / 12 shared
Lee, Won Do
3 / 8 shared
Ectors, Wim
1 / 23 shared
Kochan, Bruno
1 / 77 shared
Janseens, D
1 / 1 shared
Polak, John William
3 / 87 shared
Ruiz, T.
2 / 2 shared
Doherty, S. T.
1 / 2 shared
Park, Woon Ho
1 / 1 shared
Cheon, Seung Hoon
1 / 5 shared
Lee, Hyuk-Jin
1 / 1 shared
Kim, Chansung
1 / 2 shared
Choi, J.
1 / 5 shared
Kim, C.
1 / 8 shared
Choi, K.
1 / 8 shared
Park, W. H.
1 / 1 shared
Moiseeva, A Anastasia
1 / 3 shared
Choi, Jinmu
1 / 1 shared
Timmermans, Harry J. P.
4 / 326 shared
Noh, Shi Hak
1 / 1 shared
Cho, Sungjin
1 / 20 shared
Ettema, Dick F.
1 / 56 shared
Arentze, Ta Theo
1 / 160 shared
Chart of publication period
2021
2018
2017
2014
2013
2012
2011
2008

Co-Authors (by relevance)

  • Janssens, Davy
  • BELLEMANS, Tom
  • Wets, Geerts
  • Choi, Kee-Choo
  • Lee, Won Do
  • Ectors, Wim
  • Kochan, Bruno
  • Janseens, D
  • Polak, John William
  • Ruiz, T.
  • Doherty, S. T.
  • Park, Woon Ho
  • Cheon, Seung Hoon
  • Lee, Hyuk-Jin
  • Kim, Chansung
  • Choi, J.
  • Kim, C.
  • Choi, K.
  • Park, W. H.
  • Moiseeva, A Anastasia
  • Choi, Jinmu
  • Timmermans, Harry J. P.
  • Noh, Shi Hak
  • Cho, Sungjin
  • Ettema, Dick F.
  • Arentze, Ta Theo