Cycling volumes can vary substantially depending on weather conditions, time of day, season, and other temporal factors. At the Schnettkerbrücke in Dortmund, bicycle traffic has been continuously recorded since 2018. The counting station is located on an important cycling connection to TU Dortmund and provides directional bicycle counts at a high temporal resolution.

We invite you to examine the temporal development of cycling demand at the Schnettkerbrücke in your master’s thesis. As data sources, you can use the bicycle count data provided through the Dortmund Open Data Portal and combine them with weather and calendar data. The study should help us better understand which factors shape observed bicycle demand and how these relationships have changed over time.

We pose the following key questions:

• How does bicycle traffic at the Schnettkerbrücke vary by time of day, weekday, season, and direction of travel?
• How do weather conditions such as temperature, precipitation, and wind affect cycling volumes?
• Do weather effects differ between commuting periods and other times of the day?
• How has cycling demand developed since the beginning of the observations, and are there identifiable long-term trends or structural changes?
• What additional insights can be derived by combining bicycle counts with temporal and environmental data?

For this, we provide you with the following resources:

• Access to the historical bicycle count data from the Schnettkerbrücke
• Access to relevant open weather and climate data
• Support in identifying additional calendar and contextual data where needed
• Guidance on data preparation and quantitative analysis
• Regular supervision during the thesis

What we expect from you:

• Initial experience with quantitative data analysis
• An interest in cycling and travel behaviour
• Basic knowledge of statistical methods
• Experience with R, Python, or comparable software is a plus
• A desire to work independently with time-series data and explore suitable analytical methods

Interested? Please feel free to contact us at vpl.rp@tu-dortmund.de or directly reach out to Sascha von Behren or Gele Yite, who will be supervising the project.

E-bikes and pedelecs have become increasingly common in German households and may enable cycling over longer distances and for a wider range of everyday activities. However, the availability of an e-bike does not necessarily mean that it is frequently used or that trips previously made by car are replaced.

We invite you to investigate the relationship between e-bike availability and actual travel behaviour in Dortmund in your master’s thesis. As a data source, you can use the microdata from the Dortmund Mobility Survey 2019, which contains information at household, person, and trip level. The data allow e-bike availability to be linked with individual characteristics and actual mode choices.

We pose the following key questions:

• Which household and individual characteristics are associated with e-bike ownership?
• Under which conditions is an available e-bike actually used for everyday trips?
• How do e-bike trips differ from conventional bicycle and car trips in terms of distance and trip purpose?
• How is car availability related to the use of an available e-bike?
• Which groups show a particularly large difference between e-bike availability and actual e-bike use?
• What additional insights into e-bike travel behaviour can be derived from the combination of household, person, and trip data?

For this, we provide you with the following resources:

• Access to the publicly available Dortmund Mobility Survey 2019 data
• Household-, person-, and trip-level datasets
• Documentation and background information on the mobility survey
• Support in linking and preparing the different datasets
• Guidance on suitable quantitative analysis methods
• Regular supervision during the thesis

What we expect from you:

• An interest in travel behaviour and cycling research
• Initial experience with quantitative data analysis
• Basic knowledge of statistical methods
• Experience with R, Python, SPSS, or comparable software is a plus
• A desire to explore relationships between mobility resources, individual characteristics, and actual travel behaviour

Interested? Please feel free to contact us at vpl.rp@tu-dortmund.de or directly reach out to Sascha von Behren or Gele Yite, who will be supervising the project.

Pedelecs have become an increasingly important part of cycling in Germany. However, their role in everyday mobility may differ substantially between metropolitan areas, suburban areas, smaller towns, and rural regions. Longer travel distances, car availability, public transport provision, and settlement structures may affect whether pedelecs become a relevant alternative to conventional bicycles or motorised transport.

We invite you to investigate the spatial differences in pedelec use in Germany in your master’s thesis. As a data source, you can use the Mobilität in Deutschland 2023 (MiD 2023), which combines detailed information on individual travel behaviour with regional spatial classifications such as the RegioStaR typology. The analysis should help us better understand where pedelecs play an important role in everyday mobility and how their use differs between spatial contexts.

We pose the following key questions:

• How does pedelec use differ between metropolitan, urban, suburban, and rural areas?
• How do trip distance and trip purpose differ across spatial contexts for pedelec trips?
• Does the role of pedelecs relative to conventional bicycles and cars vary between different spatial types?
• In which spatial contexts are pedelecs particularly relevant for medium-distance trips?
• Which individual, household, and spatial characteristics are associated with these differences?

For this, we provide you with the following resources:

• Documentation and codebooks for the Mobilität in Deutschland 2023
• Support in identifying the relevant household-, person-, trip-, and spatial variables
• Support with the application for access to the MiD 2023 B1 Standard dataset through the BASt
• Guidance on data preparation and quantitative analysis
• Regular supervision during the thesis

Please note that the MiD 2023 B1 dataset is not directly available as an unrestricted open-data download. Access must be applied for for scientific research purposes. We will support you with the application process.

What we expect from you:

• An interest in travel behaviour, cycling, and spatial differences in mobility
• Initial experience with quantitative data analysis
• Basic knowledge of statistical methods
• An interest in working with large survey datasets
• Experience with R, Python, SPSS, or comparable software is a plus
• A desire to explore the interaction between spatial structures and individual travel behaviour

Interested? Please feel free to contact us at vpl.rp@tu-dortmund.de or directly reach out to Sascha von Behren or Gele Yite, who will be supervising the project.

A person’s decision to ride a bicycle is influenced not only by individual characteristics and the conditions of specific routes, but also by how they perceive the local cycling environment. These perceptions can vary significantly between large cities, suburban areas, smaller towns, and rural regions. At the same time, similar assessments of cycling conditions can lead to very different mobility behaviors depending on the spatial context.

We invite you to examine the relationship between perceived cycling conditions, spatial context, and actual cycling behavior in Germany as part of your master’s thesis. The “Mobility in Germany 2023” (MiD 2023) study contains information on the typical frequency of bicycle use, assessments of local cycling conditions, individual and household-related characteristics, actual travel behavior, and regional land-use types.

We pose the following key questions:

• How do perceptions of local cycling conditions differ across spatial types?
• To what extent is the perceived quality of the cycling environment correlated with the frequency of bicycle use?
• Does this relationship differ between metropolitan, suburban, and rural areas?
• Are people who rate local cycling conditions similarly just as likely to ride a bike in different spatial contexts?
• What role do factors such as the availability of a bicycle or e-bike, the availability of a car, age, and household characteristics play in this?
• What additional insights can be gained by comparing self-reported perceptions with observed travel behavior?

To this end, we are providing you with the following resources:

• Documentation and code books for the “Mobility in Germany 2023” study
• Access to information on the frequency of bicycle use, perceived cycling conditions, mobility resources, travel behavior, and regional spatial typologies
• Assistance with applying for access to the MiD-2023-B1 standard dataset through BASt
• Guidance on combining individual, household, trip, and spatial information
• Regular guidance during the master’s thesis

Please note that the MiD-2023-B1 dataset is not immediately available as a freely accessible open data download. Access must be requested for scientific research purposes. We will assist you with the application process.

What we expect from you:

• Interest in mobility behavior, bicycle traffic, and perceptions of mobility
• Basic experience with quantitative data analysis
• Basic knowledge of statistical methods
• Interest in analyzing the relationships between attitudes, spatial context, and observed behavior
• Experience with R, Python, SPSS, or comparable software is a plus
• Willingness to independently develop and test appropriate analytical approaches

Interested? Please feel free to contact us at vpl.rp@tu-dortmund.de or directly reach out to Sascha von Behren or Gele Yite, who will be supervising the project.

Suitable only as a bachelor's thesis

This thesis examines whether public electric vehicle (EV) charging stations are located near destinations where people naturally spend time, such as supermarkets, shopping centres, workplaces, universities, schools, sports facilities, hospitals, public services, and leisure venues.

Possible research questions

• Which types of everyday destinations are most frequently located near public EV charging stations?

• Which destination categories have comparatively limited nearby charging opportunities?

• Which areas or destination categories should be prioritised in future charging-infrastructure planning?

Available data

• EV charging station geolocation data for Dortmund in 2026

• Point-of-interest data, including shops, supermarkets, schools/universities, workplaces, hospitals, leisure facilities, public services, etc

• Optional: land-use and public-transport-stop data

Expected skills and outputs

• Interest in sustainable transport, e-mobility, GIS, or urban spatial analysis

• GIS mapping and buffer analysis

• Comparison of charging-station accessibility across destination categories

• Maps and practical recommendations for destination-based charging planning

Relevant reference publications

Csiszár, C., Csonka, B., Földes, D., Wirth, E., & Lovas, T. (2019). Urban public charging station locating method for electric vehicles based on land use approach. Journal of Transport Geography, 74, 173-180.

Teng, D., Tang, J. H. C. G., Ma, R., Yang, X., & Zhuge, C. (2026). A global insight into integration of metro and electric vehicle charging stations. Sustainable Cities and Society, 107217.

Supervision

One consultation meeting per month will be provided. Students may also contact the supervisors by email when needed.

Interested? Please contact vpl.rp@tu-dortmund.de, Sascha von Behren, or Justin Hayse Tang.

Suitable only as a master's thesis

This thesis investigates how characteristics of the built environment are associated with public EV charging demand. It compares charging-session patterns with surrounding land use, population, accessibility, and points of interest.

Possible research questions

• Where and when is public EV charging demand highest?

• How are charging frequency, energy delivered, dwell time, and charging duration associated with the built environment?

• Do residential, commercial, employment, leisure, and transport-accessible areas show different charging demand patterns?

• Which built-environment characteristics are most strongly associated with charging demand?

Available data

• Three months of EV charging session data in Frankfurt am Main and Munich in 2026

• Germany-wide point-of-interest (POI) data

Expected skills and outputs

• Interest in transport planning, urban analytics, e-mobility, or spatial data science

• Experience with Python, R, GIS, or statistical modelling is helpful

• An empirical analysis of charging demand and built-environment characteristics, with implications for charging-infrastructure planning

Relevant reference publications

Zheng, W., & Lee, D. H. (2025). The spatio-temporal relationship between electric vehicle charging demand and land use: Insights from Chinese metropolitan areas. Journal of Transport Geography, 129, 104421.

Kwon, K. (2025). Investigating the characteristics of public electric vehicle charging station: A case study of California. Transport Policy, 166, 101-107.

Supervision

One consultation meeting per month will be provided. Students may also contact the supervisors by email when needed.

Interested? Please contact vpl.rp@tu-dortmund.de, Sascha von Behren, or Justin Hayse Tang.

Suitable only as a master’s thesis

This thesis evaluates whether public EV charging infrastructure is equally accessible to different population groups and places across the Ruhr region. It focuses on the spatial equity of charging provision, rather than only the total number of charging stations.

Possible research questions

• How accessible are public EV charging stations by walking distance, driving distance, or travel time?

• Which municipalities and neighbourhoods have comparatively limited access to charging infrastructure?

• Is charging-station accessibility associated with income, population density, housing type, car ownership, or other sociodemographic characteristics?

• Which locations should be prioritised to improve equitable access to public EV charging?

Available data

• EV charging-station geolocation data in 2026

• Population and socio-demographic data for the Ruhr region

• Road-network, land-use, and, where appropriate, public-transport data

Expected skills and outputs

• Interest in transport equity, accessibility, GIS, or sustainable mobility

• GIS and quantitative-analysis skills are very helpful

• Accessibility indicators, spatial-equity analysis, maps, and recommendations for more inclusive charging-infrastructure planning

Relevant reference publications

Yang, X., Peng, Z., Zhuge, C., Tang, J. H. C. G., Ma, R., Wei, B., & Shi, W. (2026). A spatial planning perspective on the global deployment of public electric vehicle charging stations. Cell Reports Sustainability.

Carlton, G. J., & Sultana, S. (2024). Electric vehicle charging equity and accessibility: A comprehensive United States policy analysis. Transportation Research Part D: Transport and Environment, 129, 104123.

Supervision

One consultation meeting per month will be provided. Students may also contact the supervisors by email when needed.

Interested? Please contact vpl.rp@tu-dortmund.de, Sascha von Behren, or Justin Hayse Tang.

Suitable only as a master's thesis

This is the most technically demanding thesis topic. It examines daily records of operational and reported damaged EV charging stations over a ten-year period to identify temporal and spatial patterns in charging-infrastructure reliability.

Possible research questions

• How are reported damaged or unavailable charging stations distributed across the United States between 2015 and 2024?

• Are particular station types, locations, regions, or network operators more likely to experience reported outages or prolonged unavailability?

• Do reported outage patterns vary by year, season, urbanisation level, or socio-economic context?

• What are the implications of charging-station reliability for public charging-network planning?

Available data

• Daily records of operational and reported damaged EV charging stations in the United States (from 2015 to 2024)

• Administrative-boundary data for the United States

Expected skills and outputs

• Strong interest in data science, programming, and transport systems

• Very solid Python programming skil ls are required; GIS, database management, web scraping, or machine-learning experience is advantageous

• A reproducible longitudinal dataset, spatial-temporal analysis, and recommendations for improving charging-infrastructure reliability

Relevant reference publications

Keith, D., & Womack, J. (2023). Building and sustaining reliable public EV charging in the United States. Environmental Research Letters, 18(1), 011004. 

Supervision

One consultation meeting per month will be provided. Students may also contact the supervisors by email when needed.

Interested? Please contact vpl.rp@tu-dortmund.de, Sascha von Behren, or Justin Hayse Tang.

This study examines how the specific spatial design and alternative uses of former parking areas influence public acceptance of parking space reallocations. The focus is on comparing various usage scenarios, such as green spaces, social gathering places, and areas designated for pedestrian and bicycle traffic, public transit, or electric mobility. Based on a structured literature review, relevant design elements and theoretically grounded hypotheses are identified. These are then empirically tested through an experimental survey (e.g., a factorial vignette experiment with visualization). The results are intended to show which spatial and functional characteristics promote acceptance of parking space reallocations.

Interested? Please feel free to contact us at vpl.rp@tu-dortmund.de or directly reach out to Sascha von Behren or Jacqueline Radzyk, who will be supervising the project.

This study analyzes the ecological, economic, social, and transportation-related trade-offs associated with the repurposing of parking areas. As part of a systematic literature review, various transformation and relocation scenarios are examined, including automated driving, parking garages, the relocation of parking spaces to adjacent neighborhoods, and the conversion of parking areas into public, green, or multimodal spaces. The study examines which positive effects—such as increased space, improved quality of life, or environmental benefits—are associated with potential negative consequences, such as additional traffic, traffic generated by people searching for parking, congestion on access roads, or issues of social justice. The goal is to provide a structured presentation of the key trade-offs as a scholarly contribution to the discussion on a sustainable and socially balanced parking policy.

Interested? Please feel free to contact us at vpl.rp@tu-dortmund.de or directly reach out to Sascha von Behren or Jacqueline Radzyk, who will serve as your advisors.

This study examines which individual, spatial, and transportation factors influence commuters’ car use and which interventions can support a shift toward more sustainable modes of transportation. First, key determinants of mobility behavior are identified based on a literature review. Subsequently, selected temporary or permanent urban mobility interventions are systematically analyzed using a case study. The analysis examines which of the previously identified determinants are addressed by each intervention, which determinants are not taken into account, and what impact assumptions underlie the intervention. To this end, the study will also draw on psychological theories, such as the Theory of Planned Behavior, Persuasion Theory, or nudging approaches. On this basis, recommendations for improvement will be developed and, in a final step, synthesized into a concept for a custom intervention to promote sustainable commuter mobility. The thesis thus supports the theoretical and conceptual development of an intervention within the framework of the F10 project.

Interested? Please feel free to contact us at vpl.rp@tu-dortmund.de or directly reach out to Sascha von Behren or Jacqueline Radzyk, who will serve as your advisors.

– A proposal from the Hamburg Authority for Transportation and Mobility Transition (BVM) –

Major construction projects are planned in Hamburg: In the summer of 2026, Stresemannstraße will be closed for the installation of the Sternbrücke, and we will set up numerous detours for the construction of the new U5 line.

We invite you to examine the effects of such detours in your master’s thesis. As a data source, you can use our floating car data (FCD), which provides a detailed, real-time sample of all vehicles—for example, from navigation devices—at a fine spatial resolution.

We pose the following key questions:

• How do major road closures affect motor vehicle traffic? How do large-scale route selection, traffic volume, and speed change?
• What can we learn to help prepare for large-scale construction projects?
• What additional insights can be derived from FCD?
• How can we infer the “actual” traffic situation from the FCD sample? Can FCD data be calibrated against other traffic count data? (This could potentially be spun off into a separate thesis.)

For this, we provide you with the following resources:

• Full access to the FCD data for the duration of your project
• Training on the FCD analysis software
• Additional traffic count data as needed (aVME, demand-based counts)
• Access to the newly developed Hamburg traffic model
• One hour of support per month

What we expect from you:

• Initial experience with large data sets
• An understanding of interactions within the transportation system
• Experience in modeling is a plus, even outside the transportation sector
• A desire to explore new methodological territory and grow both professionally and personally

Interested? Please feel free to contact us at vpl.rp@tu-dortmund.de or reach out directly to Sascha von Behren or Matthias Cremer-Schulte, who will be your mentors.

Suitable only as a master's thesis

Background

The Hambach open-pit mine in the Rhineland coalfield is at the center of the structural transition from an industrially dominated region toward a post-fossil-fuel future. The Hambach Framework Plan (2024) calls for the area to be restored to its natural state after the end of lignite mining and opened up for tourism, recreation, and new economic uses. This poses particular challenges for the transportation infrastructure:

The area is characterized by the conflict between its industrial past, ecological restoration, and future use for tourism. The transportation transition must be viewed here as part of the structural transformation.

Possible Research Questions

1. Visitor management and multimodal connectivity: What might a sustainable concept for managing pedestrian and bicycle traffic at the intake structure of the Rhine water conveyance pipeline look like that ensures both the safety and the attractiveness of the route?
2. Visitor management in natural areas: What might a sustainable concept for managing pedestrian, bicycle, and equestrian traffic on the Sophienhöhe look like that also makes an active contribution to nature conservation? To what extent can the trail network be reduced while taking operational needs into account without losing functionality?
3. Infrastructure Capacity: What capacities must the planned traffic routes (e.g., in the areas between the open-pit mines) have in order to handle the expected visitor traffic through 2027 and beyond—and how can bottlenecks be avoided?
4. Integration into public transit: How can connections to the existing public transit network be designed to ensure barrier-free and environmentally friendly access to the former open-pit mine? What additional opportunities would an autonomous public transit service open up? Further Considerations: Under what socioeconomic and transportation conditions would the expansion of public transit connections in the Hambach open-pit mine area (e.g., stops at Sophienhöhe) be cost-effective and sustainable? How can critical visitor thresholds and financing models (e.g., public subsidies, user fees, or public-private partnerships) be identified to assess the economic viability and acceptance of such measures?
5. Modeling of Transportation Scenarios: Which methods (e.g., agent-based simulations or GIS-supported analyses) are suitable for modeling the interactions between the various modes of transportation (walking, cycling, public transit, private vehicles) in the area of the Hambach open-pit mine?
6. Navigating uncharted territory: How can stationary traffic be optimized for space efficiency, and what role does the design of the various access routes play? Is the development of a parking guidance system an efficient solution?

Framework Conditions

• Timeframe: Work to be completed by October 2027
• Data set: Access to GIS data and traffic counts (existing surveys from the operator and the region)
• Practical support: On-site contacts
• Special Feature: Insights into structural change in the Rhineland mining region and the opportunity to contribute to a real-world transformation process

What We’re Looking For

• Interest in interdisciplinary interactions within the transportation system (e.g., between tourism, ecology, and infrastructure)
• Experience in modeling (e.g., traffic models, GIS analyses, or simulations)—experience from other disciplines is also welcome
• Eagerness to explore new methodological territory: Willingness to test innovative approaches
• Personal motivation to delve into a complex, socially relevant topic and grow both professionally and personally in the process

Interested? Please feel free to contact us at vpl.rp@tu-dortmund.de.

Background and Objectives

In addition to their city centers, large cities typically have other district or neighborhood centers that serve as hubs for local amenities. For a polycentric urban structure, therefore, not only accessibility but also the connections between these centers are relevant. How well these centers are accessible to one another via public transit can be calculated based on the available transit services. It remains unclear, however, whether the population perceives their accessibility in a similar way. For example, a center may be objectively well-connected but, due to poor transfer conditions or a lack of reliability, be subjectively considered difficult to reach. This thesis therefore aims to compare the mathematically determined public transit accessibility of selected centers with their perceived accessibility.

Possible Key Questions

• How well are selected neighborhood centers connected to the city center or to one another via public transportation?
• Do calculated travel times, transfers, and service frequencies correspond with the perceived accessibility of these connections?
• Where and in what respects do calculated and perceived accessibility differ from one another?

Scope of the Study / Methodological Framework

You will identify suitable intra-municipal centers and define the connections to be examined. For the connections between these centers, you will calculate relevant measures of public transportation accessibility, such as travel times, transfers, and service frequency. A survey will assess how people from the areas under study evaluate the accessibility of these same centers. You will then combine both perspectives, compare the calculated service characteristics with the survey results, and examine any potential discrepancies

Thematic Focuses / Requirements

Intra-municipal centers and service functions, GIS-based analysis of public transit connections, and a survey on perceived accessibility

Expected Contribution

Your work will demonstrate, for selected connections between intra-municipal centers, the extent to which computationally determined and perceived public transit accessibility align. It will highlight which aspects of a connection can be captured by service metrics and where the population’s assessments diverge from these metrics.

Interested? Please feel free to contact us at vpl.rp@tu-dortmund.de or directly reach out to Sascha von Behren or Mika Matysik, who will be supervising the project.

Background and Objectives

Regional public transit connections often cross municipal boundaries. Nevertheless, significant gaps in public transit service may still exist along municipal boundaries. In this context, the Ruhr Regional Association, for example, advocates for stronger intermunicipal integration of public transit. However, several stakeholders with differing responsibilities and interests are involved in the planning process. Based on one or more planned or already implemented intermunicipal public transportation measures, this thesis examines which conflicts arise during the planning process and how the stakeholders address them.

Possible Key Questions

• Which stakeholders are involved in planning the selected measures, and what responsibilities do they assume?
• What differing interests and planning concepts clash during the planning process?
• How are the resulting conflicts addressed?

Thesis Content / Methodological Framework

You will select one or more planned or already implemented intermunicipal public transit measures as a case study and trace their planning process using relevant documents. In doing so, you will examine the stakeholders involved, their responsibilities, and the areas of conflict that arise in each case. In addition, interviews with experts may be conducted to gather different perspectives on planning and conflict resolution. The results will be evaluated with regard to the coordination of cross-city public transit planning

Key Topics / Requirements

Regional public transit planning, institutional responsibilities, intermunicipal coordination, as well as qualitative document analysis and, if necessary, interviews.

Expected Contribution

Using specific routes as examples, your thesis will demonstrate which interests and responsibilities shape regional public transit planning and how the stakeholders involved deal with planning conflicts.

Interested? Please feel free to contact us at vpl.rp@tu-dortmund.de or directly reach out to Sascha von Behren or Mika Matysik, who will serve as your advisors.

Background and Objectives

In urbanized areas, many cities and centers are located in close proximity to one another. When traveling between them, it is important to know whether public transit routes continue across municipal boundaries or whether a transfer is required there. At the same time, service offerings in polycentric areas can vary depending on the type of connection: radial connections lead to a higher-level center, while tangential connections link centers of equal rank that lie off the radial axes. This thesis examines, at selected municipal boundaries, how the quality of service for cross-boundary connections compares to that of intra-municipal connections and what role the direction of the connection plays in this context. Line termini and transfers are analyzed to contextualize notable differences.

Possible Key Questions

• Does the quality of comparable connections across a municipal boundary differ from that of connections within a municipality?
• Does the quality of service differ between radial and tangential public transit connections?
• To what extent do route termini or transfers create breaks in the connection?

Thesis Content / Methodological Framework

You will select appropriate municipal boundaries or cross-boundary corridors in a polycentric urban region such as the Ruhr region. For these, you will define a limited selection of radial and tangential connections, including cross-boundary and intra-municipal comparison cases. The classification of the connections will be clearly defined at the beginning of the thesis. When selecting case studies, you will give particular consideration to the distance and importance of the connected centers to ensure that routes that are not obviously comparable are not compared with one another. Using transit networks and schedule data, you will analyze travel times, transfer requirements, service frequency, and, where applicable, connection times for the selected routes. Additionally, you will identify which lines cross the municipal boundaries under consideration and which terminate near them. The results are compared both by intermunicipal connection and by radial or tangential direction of travel. Finally, you identify notable differences and spatially contextualize them within the network under examination.

Key Topics / Requirements

Public transit planning, characteristics of polycentric urban regions, and GIS-supported analysis of network and schedule data. A comprehensive evaluation of the public transit network in the Ruhr region is not the subject of this thesis.

Expected Contribution

Your thesis will demonstrate whether—and in what ways—cross-boundary connections differ from intra-municipal ones, and radial connections from tangential ones. You will also demonstrate the significance of these differences for the quality of intermunicipal public transit services.

Interested? Please feel free to contact us at vpl.rp@tu-dortmund.de or directly reach out to Sascha von Behren or Mika Matysik, who will be supervising the project.