AUM2026: Applied Urban Modelling Symposium and Pre-conference Seminar

Robin Lovelace
Code AUM2026 Website Register for AUM2026 Contact Organisers

Abstract

I’m presenting at the 2026 Applied Urban Modelling (AUM) symposium at the University of Cambridge.

Presentation: Modelling multi-model traffic, casualties and risk: a data-driven approach to improve government guidance on critical safety issues for walking and cycling

This work builds on Active Travel England (ATE) funded research developing a data science codebase to improve guidance on Critical Safety Issues (CSIs) for walking, wheeling, and cycling.

Pre-conference Seminar: Modelling Active Mobility (26-27 June 2026)

Convening scholars, practitioners, and policy makers to discuss modelling pedestrians’ and cyclists’ interactions with built environments.

Main AUM Symposium (29 June - 1 July 2026)

Topics include AI in urban models, economics and econometrics, land-use and transport interactions, agent-based modelling, urban analytics, active mobility, and net-zero.

Schedule:

  • 26-27 June: Pre-conference seminar (Bateman Auditorium, Old Courts)
  • 29 June - 1 July: Main symposium (Cavonius Centre, Harvey Court)

Pre-conference seminar sponsored by VREF. Attendance optional for AUM participants.

Date
Jun 26, 2026 9:00 AM — Jul 1, 2026 5:00 PM
Event
Applied Urban Modelling (AUM) Symposium
Location
Gonville & Caius College, Cambridge
Trinity Street, Cambridge, Cambridgeshire CB2 1TA

Event Details

Pre-conference Seminar: Modelling Active Mobility

  • Dates: 26-27 June 2026
  • Venue: Bateman Auditorium, Gonville & Caius College (Old Courts)
  • Format: Day 1 presentations by invitation; Day 2 group discussion
  • Sponsor: VREF (Volvo Research and Educational Foundations)

Main AUM2026 Symposium

  • Dates: 29 June - 1 July 2026
  • Venue: Cavonius Centre, Gonville & Caius College (Harvey Court)
  • Organisers: Department of Land Economy and Martin Centre, University of Cambridge

Registration

Registration covers symposium organisation, refreshments, and buffet lunches. Accommodation not included (limited college guestrooms available).

Contact

aum@landecon.cam.ac.uk

Part of Active Travel England funded research on Critical Safety Issues.

AUM2026 Applied Urban Modelling Active Mobility Transport Planning Critical Safety Issues Walking Cycling Cambridge Data Science ATE
Robin Lovelace
Robin Lovelace
Professor of Transport Data Science

My research interests include geocomputation, data science for transport applications, active travel uptake and decarbonising transport systems