Time and day: 5:00pm-6:00pm, April 18 (Thursday), 2019

Place: Seminar room of International Project Lab., Third floor, Engineering Building No.11, Hongo Campus, The University of Tokyo

https://www.u-tokyo.ac.jp/content/400020145.pdf

Presentation

– Title: Findings from the UK National Travel Survey Data that are cogent to new land use and transport infrastructure developments

– Abstract:

This short talk summarises the methods and findings from our studies using the UK National Travel Survey data. The methods deployed include those of structural equation modelling and latent cluster analysis for indentification of travel behavioural patterns, and those of integrated economic, land use, built form and passenger travel modelling for predicting travel demand changes in the medium and long term. The insights from the findings have been used to support our recent predictive modelling work on balancing jobs, housing, and travel in the suburbs and exurbs of London (especially for the Cambridgeshire and Peterborough Mayoral Authority), and for the UK as a whole (at the UK2070 Commission in its inquiry into regional inequality and a long term plans for action). The Cambridge team is currently engaging with national travel survey teams in Germany and the Netherlands.

Short bio of presenter

Dr. Ying Jin is a Reader in Architecture and Urbanism at University of Cambridge Department of Architecture. He has been working on land use planning, transport modelling and urban design in the UK since 1992, and since 2013 leading the research group on cities and transport at the Martin Centre for Architectural and Urban Studies, which if a leading institution in the UK in creating and using predictive models for cities and multimodal transport systems. Ying Jin’s work has increasing incorporated the social and political dynamics in transport and urban planning. He became an inaugural Visiting Fellow at the Bennett Institute for Public Policy, Univerdsity of Cambridge in 2018.

Charge: free

Language: English only

Participation: Please contact Ms. Tomoko Samukawa (samukawa@ip.civil.t.u-tokyo.ac.jp) for joining this seminar, but you can join the seminar even without pre-regstration.