• 325 Citations
20042020

Research output per year

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Personal profile

Research profile

dr. Tao Feng is an associate professor in urban planning and data-driven mobility in the built environment. His research interests include modelling the choice preference of people in urban environment, dynamic models, behaviour change and data-driven technology in transportation. He has been working on various topics linked with travel demand forecasting, traffic network analysis, transport air quality analysis, and choice of housing and work. In contribution to big data and travel surveys, he has developed various algorithms to efficiently transform GPS data into an approximation of activity-travel diaries and generate rich information for geographical analysis. His recent works include also human mobility pattern analysis using big data, application of machine learning algorithms in mobility analysis, emerging mobility alternatives and shared mobility options. He supervises PhDs and master students, works on EU funded projects in smart cities, mobility and energy, and being involved in teaching of master and bachelor courses. He is an associate editor of Asia Transport Studies, co-chair of WTC branch and serves constantly as an ad hoc reviewer for many journals and conferences in transportation, planning, energy and machine learning.

Academic background

dr. Tao Feng received his PhD in Urban Development (Transportation Planning) from Hiroshima University, Japan, in 2008. Before appointed as an Assistant Professor in 2013, he has been a post-doctoral researcher at TU/e. In 2017, he has been a visiting associate professor in Hiroshima University. He serves as associate editor in journal Asia Transport Studies, associate chair and scientific committee members of several international conferences. Dr. Feng obtained and coordinated several research projects, including DESENT, CHIPS and TERTS from Urban Europe and Interreg, and participated many others at national and international levels. 

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Projects

Research Output

Association rules and prediction of travel choices: a case study of transportation mode choice

Zhang, J., Feng, T., Timmermans, H. J. P. & Lin, Z., 2020, Proceedings 99th Annual Meeting of the Transportation Research Board. 20-00915

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

  • Co-dependent workplace, residence and commuting mode choice: results of a multi-dimensional mixed logit model with panel effects

    Guo, J., Feng, T. & Timmermans, H. J. P., 1 Jan 2020, In : Cities. 96, 9 p., 102448.

    Research output: Contribution to journalArticleAcademicpeer-review

    Open Access
  • 3 Downloads (Pure)

    Inventory optimization of fresh agricultural products supply chain based on agricultural superdocking

    Shen, L., Li, F., Li, C., Wang, Y., Qian, X., Feng, T. & Wang, C., 24 Jan 2020, In : Journal of Advanced Transportation. 2020, 13 p., 2724164.

    Research output: Contribution to journalArticleAcademicpeer-review

    Open Access
  • 1 Downloads (Pure)
    Open Access
  • 1 Citation (Scopus)

    Prizes

    Analysis of dynamic mobility decisions over life courses

    Tao Feng (Recipient), May 2019

    Prize: OtherCareer, activity or publication related prizes (lifetime, best paper, poster etc.)Scientific

    Activities

    • 2 Invited talk

    Analysis of dynamic mobility decisions over life courses

    Tao Feng (Speaker)
    12 Jun 2019

    Activity: Talk or presentation typesInvited talkScientific

    Analysis of dynamic mobility decisions over life courses

    Tao Feng (Speaker)
    2019

    Activity: Talk or presentation typesInvited talkScientific

    Courses

    Mobility and logistics

    1/09/15 → …

    Course

    Smart urban environments

    1/09/15 → …

    Course

    Student theses

    Consumers' preferences on demand response in Dutch households: a stated choice experiment in the residential energy market

    Author: van Enckevort, S., 31 May 2017

    Supervisor: Dane, G. (Supervisor 1), Feng, T. (Supervisor 2) & Teunizen, J. (External coach)

    Student thesis: Master

    File

    Improving the accuracy of project duration with artificial intelligence: a case study within the utility construction industry

    Author: Azaaj, T., 26 Feb 2019

    Supervisor: de Vries, B. (Supervisor 1), van der Zee, A. (Supervisor 2) & Feng, T. (Supervisor 2)

    Student thesis: Master

    File

    Integrated contracts in a circular economy: an explorative research into different types of integrated contracts and their added value in a circular building industry

    Author: van den Boogaard, N., 27 Nov 2018

    Supervisor: de Vries, B. (Supervisor 1), Han, Q. (Supervisor 2), Feng, T. (Supervisor 2), Oomens, J. (External person) (External coach) & Najah, M. (External coach)

    Student thesis: Master

    File

    Measurement and evaluation of transport network performance using GPS data

    Author: Ezechiels, X., 31 Aug 2016

    Supervisor: Han, Q. (Supervisor 1), Feng, T. (Supervisor 2) & Jessurun, A. (Supervisor 2)

    Student thesis: Master

    File

    Multi-agent dynamic traffic assignment incorporating GPS diary and personalized supernetwork approach

    Author: Li, C., 31 Aug 2016

    Supervisor: de Vries, B. (Supervisor 1), Han, Q. (Supervisor 2), Feng, T. (Supervisor 2) & Jessurun, A. (Supervisor 2)

    Student thesis: Master

    File