Colloquium: Prof. Dan Graham
Tuesday, 26th February 2019, at 17.15 - 18.30
ETH Zurich, UNO B 11, Universitätstrasse 41
Quantifying productivity effects of transportation: causal models for ex-ante appraisal and ex-post evaluation
Transport investments can induce positive effects on economic performance by enhancing productivity. This talk will explain how such productivity benefits emerge and will describe models that can be used to achieve causal quantification for use in ex-ante appraisal and ex-post evaluation. Research results on transport induced productivity effects will be presented and real world applications in transport appraisal will be discussed. The talk will then contrast ex-ante and ex-post modelling approaches, and argue that there is much to be learned through reconciliation of evidence.
About Prof. Dan Graham
Dan Graham is Professor of Statistical Modelling in the Department of Civil and Environmental Engineering at Imperial College London (ICL) and Director of the ICL Transport Strategy Centre (TSC). Dan has a background in statistics and economics and hold doctoral degrees from the Department of Mathematics at Imperial and from the London School of Economics. His research develops mathematical and statistical models in various field of transportation, including: causal inference methods and applications; transport and spatial economics; performance analytics and data centric engineering; and resilience, risk and safety analyses. Dan has served as Specialist Advisor to the UK Parliamentary Select Committee on Transport and he provides public policy advice internationally. He is Deputy Head and Director of Teaching in the Transport Engineering Section at ICL, with overall responsibility for intercollegiate Msc Degrees. He is a Project Partner of the Data Centric Engineering Program at the Alan Turing Institute in London and a visiting Professor at South East University in Nanjing.