Emily Herreras-Griffiths Head of Travel Demand Management (TDM) - ATM
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TFL Transport for London RESTRICTED COVID-19: Travel demand trends, greatest impacts and key measures used Emily Herreras-Griffiths Head of Travel Demand Management (TDM) July 2021 1 This document reflects ongoing work and discussions within TfL on options for the future of TfL/LU. It is not intended to reflect or represent any formal TfL/LU views or policy. Its subject matter may relate to issues which would be subject to consultation. Its contents are confidential and should not be disclosed to any unauthorised persons`
TFL Demand since RESTRICTED March 2020 • In March 2020 Lockdown 1 resulted in a massive reduction Christmas and New Year Easter in demand – up to the start of June 2020 circa.: • Tube & Rail >90% reduction • Bus >75% reduction • Road kilometres >20% reduction • Since Lockdown 3 (started after the New Year) there have been various restriction release steps, allowing incrementally greater levels of social contact and travel Step 1a (schools reopening) Step 1b (rule of 6 outdoor) Step 2 (non-essential retail and outdoor hospitality) • Many people have since begun Step 3 (indoor hospitality) to cycle and walk more often, Step 4 (all restrictions lifted from 19 July 2021) aided by changes to allocate more space 2
TFL Daily demand RESTRICTED during lockdowns • Travel patterns during the lockdowns changed – as well as demand being lower we saw an earlier peak, particularly in the morning (07:00 instead of 08:30) • The earlier demand was driven mostly by key workers or those on shifts, including those going to construction sites • Maintaining social distancing was challenging especially at peak times in specific areas of the network • Despite social distancing there was plenty of capacity on our network most of the time 3
Daily demand after An opportunity to make all journeys more comfortable lockdown • Demand is returning to pre- pandemic patterns with busy morning and evening week day peaks but plenty of space the rest of the time • Research tells us customers are concerned about catching coronavirus when travelling on busy public transport, which is a top barrier faced by office-based businesses to return to offices • We're doing everything we can to make our network safe, clean and reliable • We can help lessen concerns if customers stagger their journeys travelling and at quieter times, where there is more space and walk and cycle all or part of their journey • The TfL Go app provides the quieter times to travel for London Underground (LU) and Rail station on the TfL network. 4
TFL Key measures used RESTRICTED With demand dropping to record levels, we took unprecedented action to adapt and meet the many challenges posed by the fast-changing situation – including managing social distancing related demand constraints and facilitating the safe return of demand to our network. The below five points were key to our response and include the opportunities we took to push the boundaries of demand management, and how they led to a successful management of London’s transport during the pandemic. 1. Spotlighting the data Making data the cornerstone of our response, informing almost every element of our decision-making, from messaging to targeting 2. Redefining our audience Splitting our audience by sector was central to tackling demand issues with precision Targeting customers in novel ways helped to equip those most likely to make changes with the information they needed 3. Leading with digital Determining which data would be most useful to our customers and finding a way to present it as an accessible, intuitive and, above all, useful product 4. Focusing on flexibility Planning for multiple different scenarios in order to remain proactive in the face of a rapidly changing situation, as well as standing up a 24/7 command structure Constantly monitoring the network and adapting accordingly, from high tech data analysis to observers being physically present at hotspots 5. Integrating communications with operations Working with operations, both TfL and third party, to ensure a holistic response 5
TFL Appendix RESTRICTED 6 This document reflects ongoing work and discussions within TfL on options for the future of TfL/LU. It is not intended to reflect or represent any formal TfL/LU views or policy. Its subject matter may relate to issues which would be subject to consultation. Its contents are confidential and should not be disclosed to any unauthorised persons`
TFL Case Study 1 RESTRICTED 1: Spotlighting the Data • Case study: Managing our hotspots • Predict future hotspots based on modelling • A mixture of both quantitative (taps, modelling) and qualitative (staff observations, social distancing tracker) information determines our list of hotspots across the network • Hotspots are updated weekly and featured on a dedicated customer webpage, as well as informing our communications • This mixture of data allows us to target TDM precisely where it will have most effect e.g. TDM-focused marketing is upweighted at hotspot locations in order to drive behaviour change 7
TFL Case Study 2 RESTRICTED 2: Leading with digital • Case study: targeted e-mails based on travel patterns • We’ve also used Oyster data and demographics to target those who have been travelling at busier times - and those who may be returning to the network Screenshot sent of email sent to people who had been travelling at busier times, targeted by anonymised Oyster data – Sep 2020 8
TFL Case study 3 RESTRICTED 3: Redefining our audience Case study: the construction sector Through partnership working and simple action orientated travel advice, working with Build UK, during February we saw: • 8,360 construction workers in key clusters travelling at quieter times and having a more pleasant journey 8,360 • A 13 per cent decrease in the number of exits at key construction related stations from 06:00-10:00 for w/c 22 Feb 13% and 1 Mar compared to the w/c 4 Jan • Slower growth in interchange demand at hotspot stations before 07:00 compared to after 07:00 • Improved social distancing on westbound Jubilee Line services in the early morning between Canning Town and Westminster This was achieved within a context of steadily increasing demand across the network and the return of workers to construction sites (from shielding and overseas) 9
TFL Case study 4 RESTRICTED 4: Focusing on Flexibility • Case study: the return of schools • TfL made unprecedented changes to the bus network to mitigate the capacity challenges posed by social distancing • Every other bus on key routes was designated as a School Service at school travel times, and our bus operations team sourced around 200 extra buses to act as additional School Services and further boost capacity • The “every other bus” policy reduced capacity for non-school travellers, so it was essential to emphasise hotspots and quieter times to minimise background demand. Hotspots are updated every week • We worked with stakeholder teams and bus operations to understand where the pinch points were and where and where there was excess capacity. Extra buses and the “every other bus” policy were swiftly redistributed as appropriate • Furthermore, we were able to switch all the interventions on and off at short notice – e.g., for the sudden closure of schools in January 2021 10
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