Research & Development Project

  • General info
  • Quartile: X
    Time Slot: A, B
    Course Type: Specialization Elective
    Code: 7ZM1M0
    Responsible Lecturer: G.Z. Dane
    ECTS: 10
    Exams: No
    Required courses:

    7ZM5M0 Process Modelling and Information management

    7ZW7M0 Urban Research methods

    Course description:

    Executing a Research and Development project for a specific case in the research areas of Energy Neutral Cities, Urban Management and Building Information Modeling within the Smart Cities concept.

    Firstly, a research and/or development problem is identified by each student. These research and/or development problems can follow from an on-going project in the DDSS (Design and Decision Support Systems) research group (, but also from society or industry. In the given time frame, goals and criteria of the project are specified to solve the defined problem. To reach the goal, research and development methods/techniques are selected that are not yet known by the student, but are relevant for the student’s education. These methods/techniques are the state-of-the-art in DDSS research projects such as Discrete Choice Analysis; Regression Analysis; Bayesian belief networks; Building Information Modeling; Geographical Information Systems; Linear Programming. In addition, Information Systems Lab facilities (such as virtual reality lab and 3D printer) are available to support the experiments of students. With support from the staff, these new methods/techniques are learned by doing. The results should be interpreted by the student taking into consideration the pre-defined criteria. Finally, a scientific report is written that reflects upon the achieved results.

  • Other courses recommended by students
  • Useful preliminary courses:
    • Fundamentals of BIM
    • Programming and Database Management
    • Smart Urban Environments
    • Process Modeling and Information Management
    • Geographic Modelling of the Built Environment (bachelor)
    Useful follow-up courses:
    • Graduation Project
    • Web development and data management

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  • Additional information
  • Applied skills / methods:
    • How to approach a development process. How to inform others about the detailed effort you made on a long project in which no one else is involved
    • Time & project planning, presentation skills
    • Visualizing huge amount of data output
    • Creative thinking
    • Multi-criteria analysis and pairwise comparison
    • Literature review, academic writing
    • Matlab
    • Regression analysis
    • Multinomial Logit Modelling
    • Bayesian Networks
    • Game Theory
    • Scripting in Rhino/Revit
    • GIS Tools (QGIS)
    • Linear Programming
    • Python
    • System Dynamics
    Project course: Yes
    Chosen topics:
    • Automating the location selection and assessment process of a real estate developer: A QGIS centred approach
      • I tried to automate the location selection and assessment process of a real estate developer. I created a web scraping script to retrieve Funda listings. I loaded relevant location data on the social and urban characteristics of the location together with amenity data in QGIS. I processed the data in QGIS and automated it using graphical models. Finally I uploaded the output to a website I created. Using, among others, JavaScript Leaflet.
      • Automating such a process includes many different discpilines within data handling and processing. If the data is available, everything is possible with a huge amount of different methods
    • Detecting heat islands using mobile urban data
      • The goal was to develop a proof of concept for a sensor device which can be attached to vehicles in order to detect heat islands in an urban setting
    • Using Python to explore the effects of the Electric step on public transport travel time
      • E-step is able to reduce travel time significantly (in theory)
    • To create a Qgis-based model that can facilitate the investigation and help the decision making on the optimal locations for mobility hubs in Dutch cities
      • I found new analysis methods in GIS that I did not know about also I found a set of requirements for mobility hubs doing literature research
    • suitability of parking lots for new carsharing hubs
      • I used QGIS to analysed the suitability of parking lots for being used as a new carhsharing hub based on different identified factor from existing literature
      • The results are a ranking of the most suitable parking lots for carsharing in Eindhoven
    • Transportation mode choice, discrete choice analysis
      • Large effects of motive for travel on mode choice were found
    • Modeling the effect of covid-19 using the real estate stock market
      • Restrictive policies have a significant negative effect on real estate markets and that different real estate markets react differently
    • Transit Oriented Development (TOD) assessment in QGIS
      • My topic involved creating a scoring-index for the neighbourhoods of Eindhoven to assess to what extend the perform as a TOD. The results of this index were then visualised using QGIS.
      • Current TOD’s in Eindhoven score relatively well on the index
    • Game theory
    Recommended topics:
    • QGIS is interesting but has its limits. If you want to create an automated model for any process which needs interaction with an end-user, look into GIS and Geo Database Management Systems in general. Using python and databases a lot can be done in a more automated manner outside of QGIS
    • Something with data processing and programming
    • The topic in R&D project mostly guides you to choose a similar topic for your graduation so choose something you think that can help you during your graduation
    • Mobility
    • Anything GIS related to see what possibilities you have with big data
    • I think a subject using GIS is very useful because there are many possibilities, you can learn a lot about it and there is enough information available about it to do your own research
    • Depends on their interest, so do what you find interesting
    • something that is not too complicated, the course is aimed at improving research and development skills not to generate groundbreaking new insights to a topic. So choose something which you can (easily) apply and something that tests your current abilities in the field of research and development

  • Metadata
  • Data source:
    Applied method: Questionnaire
    Response rate: 42%
    Sample size: 11
    Academic year: 2020-2021

  • Disclaimer: The following data has been collected by SERVICE among students that followed the Research & Development Project in 2020/2021 during Q1 and Q2. Based on this feedback or other causes, it is possible that the course will have a different set up in the future. Keep this in mind when you use these data for selecting your courses.