An Email based mailing list has been established by the Universities Transport Study Group (UTSG). The list provides an electronic discussion forum and information resource for researchers in the field of transport primarily, but not exclusively, in the academic community.
The list was established in October 1993, and has a steadily growing membership, including researchers in all continents of the World.
The aim of the list is to facilitate information sharing, (e.g. news of new research, conferences, seminars and workshops) and to promote links, collaborative working, joint problem-solving and mutual support. Depending on the level of usage of the list and on demand, sub-lists may be set up in the future for special interests or particular types of information.
There is an exciting PhD opportunity to link health modeling with transport modeling. The position is funded by the European Union GLASST project and based at the MRC Epidemiology Unit at the University of Cambridge. The doctoral research will be co-supervized by Dr James Woodcock at the MRC Epidemiology Unit and Dr Rolf Moeckel at the Technical University of Munich. More information can be found here: http://www.mrc-epid.cam.ac.uk/work-and-study/studentships/phd-topics/integrating-health-into-travel-demand-models/. [...]
The next hEART annual conference will take place in Lyon on September 1-3, 2020. It will cover relevant areas of transportation research with specific focus on methods, models and planning of transport systems.
Short papers of 2000-3000 words are invited for submission by 1st February 2020. Call details are available at [...]
A PhD scholarship is available at the University of Queensland (UQ), Brisbane, Australia as part of Boeing - UQ Research Alliance.
Brief abstract: Boeing is currently developing capabilities in congestion modelling within large scale urban environments. One aspect of this modelling is determination of zonal information within city limits. As this data is available in limited amounts and from disparate sources, a general inference tool is needed to generate and determine this information from easily sourced, publicly available data sources. The aim of this project is to generate accurate zonal information for any urban area using a variety [...]