MAXess
Measuring accessibility in policy evaluation
Project details
Duration
08.2015-07.2018
Sponsor
external pageERAfricacall_made 7th EU Framework Programme
Staff
Prof. Dr. K.W. Axhausen and Dr. T. Dubernet
Partners
- TU Berlin
- University of Nairobi
- University of Pretoria
Summary
Although the complex interactions between land use and transport are often acknowledged and appreciated, the state of practice in evaluating infrastructure investment decisions is to fall back on purely transport- and mobility-related metrics. Especially when there is large economic inequality among citizens, answering the questions “Who gets the infrastructure benefits?” and “Who pays for the infrastructure?” become loaded and controversial.
Publications
Geurs, K.T., A. De Montis and A. Reggiani (2015) Editorial: Recent advances and applications in accessibility modelling, Computers, Environment and Urban Systems, 49, 82-85. external pageDOIcall_made
Bocarejo S., J.P. and D.R. Oviedo H. (2014) Transport accessibility and social inequities: A tool for identification of mobility needs and evaluation of transport investments, Journal of Transport Geography, 24, 142-154. external pageDOIcall_made
Fox, J., A. Daly, S. Hess and E. Miller (2014) Temporal transferability of models of mode-destination choice for the Greater Toronto and Hamilton Area, Journal of Transport and Land Use, 7 (2) 41-62. external pageDOIcall_made
Nicolai, T.W. and K. Nagel (2011) Investigating accessibility indicators for feedback from a travel to a land use model, SustainCity Working Paper, 6.2, TU Berlin. DownloadDownloadvertical_align_bottom
De Jong, G., M. Pieters, A. Daly. I. Graafland-Essers, E. Kroes and C. Koopmans (2005) Using the logsum as an evaluation measure: Literature and case study, Working papers, WR-275-AVV, RAND Corporation, Santa Monica. external pageDownloadcall_made