TRANSPORT Smart Class, Scotland 2018
- When:
- Thursday 27 September 2018
- Time:
- 08:30 - 13:30
- Where:
- Radisson Blu Hotel, 301 Argyle Street, Glasgow G2 8DL GET DIRECTIONS
UBDC researcher Dr David McArthur will be speaking at this event on 'Using Crowdsourced Mobility Data to Understand Active Travel'.
With the recent doubling of the budget for the promotion of active travel along with ambitious targets for increasing the mode share of active travel, there is a growing need for better data and methods to evaluate the performance of interventions designed to promote active travel. This talk will discuss how crowdsourced mobility data might help address this need. Some potential strengths and weaknesses of using such data will be outlined along with directions for future research.
Transport Smart Classes show key buyer side stakeholders how they can deploy the latest digital technology-enabled solutions and best practices to tackle their transport sector challenges (e.g. around congestion, traffic flows, air pollution and emissions, noise, first and last mile mobility, customer experience, cost effectiveness, connecting transport networks, managing and maintaining assets & infrastructure) and deliver a transport system that will allow passengers to travel efficiently, safely and with minimal impact on the environment. Delegates include commissioning, procurement, trialling and partnering leads, senior influencers and strategic decision makers from progressive city, borough, district and county councils; public and private transport operators/service providers; sub-regional transport bodies, combined authorities, integrated transport authorities and passenger transport executives; DfT and supporting national transport agencies; prime contractors etc. Core themes range from on-demand transport and MaaS applications, predictive traffic management, smart parking and enforcing CAZs and LEZs, to analysing people movements, new ways of visualising data, connected and autonomous vehicles, intelligent street lighting, real-time transport modelling, and smart ticketing and fare collection.
Find out more on the Smart Classes website.
