Emily Herreras-Griffiths Head of Travel Demand Management (TDM) - ATM

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Emily Herreras-Griffiths Head of Travel Demand Management (TDM) - ATM
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`
Emily Herreras-Griffiths Head of Travel Demand Management (TDM) - ATM
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

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Emily Herreras-Griffiths Head of Travel Demand Management (TDM) - ATM
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
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Emily Herreras-Griffiths Head of Travel Demand Management (TDM) - ATM
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.
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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
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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

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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

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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)

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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

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