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

7.687 Topics available

To Map

871 Locations available

330.008 PEOPLE
330.008 People People

330.008 People

Show results for 330.008 people that are selected by your search filters.

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PeopleLocationsStatistics
Arnone, Maurizio
  • 6
  • 24
  • 6
  • 2022
Weimer, JulianCologne
  • 7
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  • 13
  • 2022
Yushau, Ilyas
  • 1
  • 3
  • 0
  • 2022
Rupi, Federico
  • 10
  • 70
  • 132
  • 2022
Bruneel, Herwig
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  • 2022
Percoco, Marco
  • 4
  • 5
  • 13
  • 2022
Gulati, Dhiraj
  • 11
  • 46
  • 49
  • 2022
Gubser, Ariane
  • 1
  • 3
  • 0
  • 2022
Friedrich, Horst E.Stuttgart
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  • 2022
Heldt, Benjamin
  • 10
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  • 2022
Mélange, Willem
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  • 2022
Walraevens, Joris R R
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  • 2022
Ye, Yun-Guang
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  • 2022
MANNINO, CARLO
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  • 2022
Zhang, Yinggui
  • 3
  • 10
  • 2
  • 2022
Felux, Michael
  • 29
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  • 2022
Russwinkel, Nele
  • 8
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  • 2022
Unterhuber, PaulChamps-sur-Marne
  • 15
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  • 2022
Lamorgese, Leonardo Cameron
  • 4
  • 17
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  • 2022
Veraldi, Valerio
  • 5
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  • 2022
Endemann, Peter
  • 3
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  • 2022
Plogmann, Justin
  • 1
  • 3
  • 0
  • 2022
Pensa, Stefano
  • 5
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  • 2022
Schindewolf, Marc
  • 4
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  • 2022
Ulrich, Christian
  • 11
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  • 2022

Arsenio, Elisabete

  • ID
  • Google
  • 11
  • 28
  • 126

in Cooperation with on an Cooperation-Score of 37%

Topics

  • disaster
  • topology
  • planning
  • assessment
  • paper
  • modeling
  • case study
  • traffic mode
  • simulation
  • public transport
  • maintenance
  • vehicle fleet
  • crash
  • hub
  • profit
  • multimodal transportation
  • resilience
  • passenger
  • vehicle occupant
  • mobility pattern
  • data
  • city
  • Statistic
  • routing
  • scheduling
  • software
  • validation
  • visualisation
  • indicating instrument
  • employed
  • bus
  • traffic flow
  • decomposition
  • smart card
  • transit operator
  • commuter
  • walking distance
  • commuting
  • time interval
  • need for mobility
  • volumetric analysis
  • road
  • city traffic
  • learning
  • monitoring
  • optimisation
  • intelligence
  • artificial intelligence
  • urban mobility
  • big data
  • walking
  • coordination
  • inland waterway
  • traffic data
  • bicycling
  • mobility planning
  • common carrier
  • passenger traffic
  • forecasting
  • bicycle
  • weather
  • surveillance
  • state
  • positioning
  • bikesharing
  • data analysis
  • picture
  • subway
  • time series
  • public passenger transport
  • automobile
  • implementation
  • contaminant
  • micro mobility
  • e-scooter
  • air pollution
  • COVID-19
  • pandemic
  • spreading
  • fare
  • electric vehicle
  • survey
  • industry
  • infrastructure
  • school
  • carbon
  • wheel
  • experiment
  • market
  • student
  • rural area
  • gender
  • automobile travel
  • e-bike
  • smart city
  • arterial highway
  • cyclist
  • bicycle lane
  • primary highway
  • mobility survey
  • motorized traffic
  • travel
  • climate change
  • local transportation plan
  • show 74 more
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Publications

  • 2022Assessing robustness in multimodal transportation systems: a case study in Lisbon1citations
  • 2022LINES: muLtImodal traNsportation rEsilience analySiscitations
  • 2022Inference of dynamic origin–destination matrices with trip and transfer status from individual smart card datacitations
  • 2021Integrative analysis of multimodal traffic data: addressing open challenges using big data analytics in the city of Lisbon1citations
  • 2021On how to incorporate public sources of situational context in descriptive and predictive models of traffic data1citations
  • 2021The Role of Shared E-Scooter Systems in Urban Sustainability and Resilience during the Covid-19 Mobility Restrictions24citations
  • 2021Assessing Robustness in Multimodal Transportation Systems: A case study in Lisboncitations
  • 2020Assessing future use of autonomous, shared and electric vehicle technologies to meet decarbonisation goals: a case study in Lisboncitations
  • 2018Assessing the market potential of electric bicycles and ICT for low carbon school travel: a case study in the Smart City of ÁGUEDA8citations
  • 2018Assessing the market potential of electric bicycles and ICT for low carbon school travel8citations
  • 2016Sustainable urban mobility plans: Bridging climate change and equity targets?63citations

Places of action

Chart of shared publication
Henriques, Rui
6 / 10 shared
Aparicio, Joao Tiago
2 / 2 shared
Almeida, Elisabete Maria Mourinho Arsenio Guterres De
1 / 1 shared
Santos, Francisco C.
1 / 4 shared
Cerqueira, Sofia Maria Pais
2 / 2 shared
Lemonde, Carlos
1 / 1 shared
Dias, Gabriel Jose Cabral
1 / 1 shared
Ribeiro, P. J. G.
1 / 14 shared
Cabral Dias, Gabriel Jose
1 / 1 shared
P, Ribeiro
1 / 1 shared
Aparicio, Joao T.
1 / 1 shared
Gomes, Jorge
1 / 2 shared
Prata, José
1 / 1 shared
Romão, Mário
1 / 1 shared
Lopes, Sofia Azeredo
2 / 2 shared
Pereira, Helena Iglesias
2 / 2 shared
Dias, Joana V.
1 / 1 shared
Di Ciommo, Floridea
1 / 43 shared
Martens, Karel
1 / 29 shared
Chart of publication period
2022
2021
2020
2018
2016

Co-Authors (by relevance)

  • Henriques, Rui
  • Aparicio, Joao Tiago
  • Almeida, Elisabete Maria Mourinho Arsenio Guterres De
  • Santos, Francisco C.
  • Cerqueira, Sofia Maria Pais
  • Lemonde, Carlos
  • Dias, Gabriel Jose Cabral
  • Ribeiro, P. J. G.
  • Cabral Dias, Gabriel Jose
  • P, Ribeiro
  • Aparicio, Joao T.
  • Gomes, Jorge
  • Prata, José
  • Romão, Mário
  • Lopes, Sofia Azeredo
  • Pereira, Helena Iglesias
  • Dias, Joana V.
  • Di Ciommo, Floridea
  • Martens, Karel