Research Group Mobility Justice


The research group aims to create awareness, assess and addresses mobility injustices. The main methodology focuses on mixed methods approaches combining spatial analysis and machine learning with qualitative techniques.

To make our mobility just and including different needs and abilities, we propose as a first step that you feel what others feel. In other words, create awareness and empathy. The next step is to assess fairness, that is, who is privileged in terms of mobility opportunities and who is not. Finally, when you are aware and know the real situation, it is time to address it.



11 - 14 November 2022 Interpreting statistical results for urban mobility research – PhD course
08 December 2022 Mapping Party Christmas Edition: Updating OSM data for the MGeM project (see the summary here
16 March 2023 Walkability Awareness Workshop in Berg am Laim (see impressions here)




  • Mixed-Methods procedures for mobility research
  • Accessibility planning
  • Visualization of Transport data
  • Basis transport concepts
  • Transportation Policies and Project Design

(more information can be found here)

PhD Courses

  • Interpreting statistics for mobility research

Study Group: "Justice League: Mobility Hubs"

Six master students are meeting every 3 weeks for one and half hours to discuss the master thesis, get feedback from each other, and tips on how to write the master thesis. In the group, various topics are included, and the methods go from qualitative to quantitative.

The main research questions are:

  • Who are the potential users of mobility hubs?
  • How to make mobility hubs more inclusive?
  • What elements should be included in a mobility hub?


Fernanda Navarro: A serious board game for spreading awareness and empathy towards vulnerable-to-exclusion users of mobility hubs


Sana Jafaar: Can personal values help use predict transport behaivor? 
Joelean Hall: Exploring Advantages and Challenges of Bike-sharing in a Low-Income Resident Area in Houston, TX
Jan Wajerski : Mobility Hub User Analysis
Giulia Peaucellier: Influence of Perceived Safety on Mode Choices in Munich     


Alex Preis: How stakeholder participation tools can contribute to the success of mobility hubs: A guideline for citizen-centered, stakeholder-oriented planning of mobility hubs.
Korbinian: Can best practice bicycle infrastructure improve cycle-ability in Munich? A mixed-methods research

New topics for Master's Thesis and Study projects


  • Mapping parties as a tool for creating awareness in stakeholdes (M.Sc. Hector Ochoa)
  • Serious board games as a tool for creating awareness


  • Social media analysis on mobility justice
  • Qualitative assessment of perceived urban mobility justice in Munich (M.Sc. Sindi Haxhija)
  • Quantitative analysis on mobility justice in “Berg am Laim”
  • Who is allowed and who is forced to be immobile?

Further interesting information:

Dr.-Ing. David Duran 

Research group leader


Dr.-Ing. Benjamin Büttner 

Expert on Accessibility and Equity


Dr. Maria Teresa Baquero Larriva

Expert on Older People Mobility


Sindi Haxhija 

Expert on Inclusive Urban Mobility


Matthias Grundei

Public participation and Evaluation

Yihan Xu

Data analysis

Maria Jose Zuñiga

Gender expert


Pfertner, M., Büttner, B., Duran-Rodas, D., & Wulfhorst, G. (2022). Workplace relocation and its association with car availability and commuting mode choiceJournal of Transport Geography98, 103264.

Büttner, B., Baguet, J., Duran-Rodas, D., Hall, J., Navarro-Ávalos, F., Nichols, A., Susilo, Y. (2022). Deliverable D 3.1 Guidelines for the integration of mobility hubs into the urban spaceSmartHubs.


Durán-Rodas, D. (2021). Efficiency and/or equity? Understanding and planning bike-sharing based on spatial fairness (Doctoral dissertation, Technische Universität München).

Fuchs, S., Durán-Rodas, D., Stöckle, M., & Pfertner, M. (2021, June). Who uses shared microbility? Exploring users’ social characteristics beyond sociodemographics. In 2021 7th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS) (pp. 1-6). IEEE.

Duran-Rodas, D., Wright, B., Pereira, F. C., & Wulfhorst, G. (2021). Demand And/oR Equity (DARE) method for planning bike-sharing. Transportation Research Part D: Transport and Environment. 


Duran-Rodas, D., Villeneuve, D., & Wulfhorst, G. (2020). Bike-sharing: the good, the bad, and the future-an analysis of the public discussion on Twitter. European Journal of Transport and Infrastructure Research20(4), 38-58.

Duran-Rodas, D., Villeneuve, D., Pereira, F. C., & Wulfhorst, G. (2020). How fair is the allocation of bike-sharing infrastructure? Framework for a qualitative and quantitative spatial fairness assessment. Transportation Research Part A: Policy and Practice140, 299-319.

Duran-Rodas, D., Chaniotakis, E., Wulfhorst, G., and Antoniou, C. (2020) Open source data–driven method to identify most influencing spatiotemporal factors. An example of station–based bike sharing. In Konstadinos G. Goulias, Adam W. Davis (Eds.), Mapping the Travel Behavior GenomeElsevier, Pages 503-526.