DATA & TRANSPORT Evidence based decision making 19 th May 2017
AGENDA 1. Introduction 2. Case Studies 3. What does this mean for transport in Scotland? 2
INTRODUCTION Gillian Iversen, Atkins Intelligent Mobility
2006 NTS Strategic Outcomes Improved journey times and connections between our cities and towns and our global markets to tackle congestion and lack of integration and connections in transport Reduced emissions to tackle climate change, air quality, health improvement Improved quality, accessibility and affordability of transport, to give choice of public transport, better quality services and value for money, or alternative to car
Case Studies
WHAT IS MOBILE DATA? Mobile data is BIG DATA Time stamped location data Location from cells -various sizes Historic data of 12 months Scale and sample size Interrogation of data to deliver insight Key: asking the right questions *encrypted
HOW MOBILE DATA WORKS
MARGATE
MARGATE Catchment of Visitors to Margate Area: August 2015 9
10 WEATHER AND DAILY VISITORS MARGATE Visitor count 10,000 20,000 30,000 40,000 50,000 60,000 70,000 0 5/18/2015 Weekday visitors 5/25/2015 NO. OF VISITORS TO MARGATE AREA: MAY TO 6/1/2015 6/8/2015 6/15/2015 6/22/2015 6/29/2015 Weekend visitors 7/6/2015 7/13/2015 OCTOBER 2015 7/20/2015 7/27/2015 8/3/2015 8/10/2015 Daily rainfalll (mm) 8/17/2015 8/24/2015 8/31/2015 9/7/2015 9/14/2015 9/21/2015 9/28/2015 Temperature (degrees C) 10/5/2015 10/12/2015 10/19/2015 10/26/2015 0 10 20 30 40 50 60 Temperature / rainfall
M25 TRAVEL TIME MONITORING SYSTEM
TRAVEL TIME MONITORING SYSTEM OUTPUTS
TRAVEL TIME MONITORING SYSTEM BENEFITS • No requirement for roadside installation • Demonstrating good management of network • Identifying areas for improvement and investment
What does this mean?
Webinar Wednesday 7th June 12:30pm
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