Daniel Hörcher


Daniel Hörcher is currently a postdoctoral research associate of the Railway and Transport Strategy Centre (RTSC) within the Centre for Transport Studies (CTS) at Imperial College. His research interests are focused around

– the economics of public transport supply,
– crowding discomfort externalities and their implications on pricing and capacity optimisation,
– statistical analysis of large-scale automated transport data,
– wider economic benefits of public transport provision.

He serves on a regular basis as reviewer for scientific journals including Transportation Research Part B, Journal of Transport Economics and Policy, and Economics of Transportation.


Daniel graduated from the Budapest University of Technology and Economics (BSc in Transport Engineering, supervisor: Professor Katalin Tánczos) and VU University Amsterdam (MSc in Spatial, Transport and Environmental Economics, supervisor: Professor Piet Rietveld). He joined Imperial College in August 2014 as a PhD candidate supervised by Professor Dan Graham and sponsored by the RTSC, and successfully defended his doctoral dissertation in October 2017.

Between his graduate and postgraduate studies Daniel gained experience in the international transport policy arena. He worked as a transport adviser for the Ministry of Foreign Affairs of Hungary. His activities in the advisory team of the Government Commissioner for the EU Danube Region Strategy centered around the field of EU transport policy.

Further industrial experiences include transport-related internships at the Dutch Railways (Utrecht, The Netherlands) and JA Consulting (Aarhus, Denmark). He also worked as editor and senior journalist for two major Hungarian railway magazines.



Content by Daniel Hörcher
  • Publication - Policy paper

    Data-oriented urban transport reform in middle-income and developing cities

    The paper highlights the key success factors determining the efficiency of data management interventions, and the benefits that the successful implementation of such policies could deliver for local communities and their surrounding economies. Key success factors include (1) a healthy balance of investments in data technology and human knowledge; (2)...

    6 Feb 2019 | Dan Graham, Daniel Hörcher, Jose Manuel Carbo Martinez