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TfL's City PlannerTool
Delivering the MayorsTransport
Strategy
ESRI CONFERENCE 2018 : CITY PLANNER TOOL
2 ESRI CONFERENCE 2018 : CITY PLANNER TOOL
the challenge...
3 ESRI CONFERENCE 2018 : CITY PLANNER TOOL
80%’
of all trips in
London to be made
on foot, by cycle
or using public
transport by 2041
4
the plan...
ESRI CONFERENCE 2018 : CITY PLANNER TOOL
5 ESRI CONFERENCE 2018 : CITY PLANNER TOOL
6
the data...
ESRI CONFERENCE 2018 : CITY PLANNER TOOL
7 ESRI CONFERENCE 2018 : CITY PLANNER TOOL
8
delivery...
ESRI CONFERENCE 2018 : CITY PLANNER TOOL
9 ESRI CONFERENCE 2018 : CITY PLANNER TOOL
How do we extract best-value from our data to inform MTS aligned project
development and investment decision-making at TfL?
TfL Project Lifecycle
Strategy Plan Data
Outcome
Definition
Feasibility Concept
Design
Detailed
Design
Delivery Project
Close
1 2 3 4 5 6
10
simplification...
ESRI CONFERENCE 2018 : CITY PLANNER TOOL
11 ESRI CONFERENCE 2018 : CITY PLANNER TOOL
Simple spatial
language
12 ESRI CONFERENCE 2018 : CITY PLANNER TOOL
~15,000
neighbourhood
s
13 ESRI CONFERENCE 2018 : CITY PLANNER TOOL
Strategic spatial
view
14
City Planner Tool...
ESRI CONFERENCE 2018 : CITY PLANNER TOOL
15 ESRI CONFERENCE 2018 : CITY PLANNER TOOL
User friendly interface
16 ESRI CONFERENCE 2018 : CITY PLANNER TOOL
Diverse
functionality
17
key use case...
ESRI CONFERENCE 2018 : CITY PLANNER TOOL
18
Outcome
Definition
Feasibility Concept
Design
Detailed
Design
Delivery Project
Close
1 2 3 4 5 6
Active
Safe
Green
Efficient
Connected
Inclusive
Quality
Sustainable
Unlocking
Using City Planner Tool data to characterise MTS outcome deliverables in an area to inform
scheme development and investment decision-making. Tracking priorities and trade-offs
throughout the project lifecycle.
Low High
MTSOutcomes
ESRI CONFERENCE 2018 : CITY PLANNER TOOL
19 ESRI CONFERENCE 2018 : CITY PLANNER TOOL
Spatial prioritisation
20
Active
Safe
Green
Efficient
Connected
Inclusive
Quality
Sustainable
Unlocking
So... which MTS outcomes should we be focussing on in our local neighbourhood, Broad
Sanctuary?
Low
High
ESRI CONFERENCE 2018 : CITY PLANNER TOOL
21
in summary...
ESRI CONFERENCE 2018 : CITY PLANNER TOOL
22
Strategy Plan Data
SimplifyDevelop ToolsDelivery
ESRI CONFERENCE 2018 : CITY PLANNER TOOL
23
thank you...
ESRI CONFERENCE 2018 : CITY PLANNER TOOL

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TfL - How GIS is Helping to Deliver Healthy Streets for Londoners - Enterprise GIS - Esri UK Annual Conference 2018

Notas do Editor

  1. Joe S Thank you Tim (Tim Welch, our General Manager) -------- and thanks to ESRI for inviting us here today We trust you had a smooth and reliable journey here this morning ------- Its worth noting that the work Henry and I will talk to you about today has primarily been undertaken for the Surface side of TfL --------As you may not be aware TfL organises itself, at a very high level, in LU and Surface People of tend to think of the ‘Tube’ when they think of TfL...but its everything else that Henry and I are primarily interested in in this context ----although this obviously includes the interaction between stations and streets
  2. Joe S So the challenge we are really focussing on is TfL’s ambitions for the roads---or streets as articulated in the recently published MTS And how we are using the data available to us to bestdeliver the mayors ambitions for London's streets
  3. Joe S The new MTS - which I’m sure you’re all very familiar with ---- was published in March this year. ------ it has three key themes 1. Transforming London into a healthier place to travel, 2. delivering quality, connected and accessible public transport , 3. and finally supporting sustainable growth in the city These themes are brought together through one very simple, high level target ------ and that's to increase the levels of sustainable travel in the city ------ so that's travel and foot, cycle or public transport – from the current level of 63% ------ to 80% by 2041 For us this means more people choosing to walk, cycle and use the bus – and central to this is the idea of implementing healthy streets in London
  4. Joe S 1. -----to accompany this strategy we have our business plan
  5. Joe S 1. ...and as you can see -----there’s lots to do 2. This is just a subset of our business plan over the next 5 years 3. And you can see that figure in the middle there - £2.2bn planned spend on healthy streets and air quality portfolios 4. This includes projects like cycle superhighways, oxford street and Vauxhall gyratory transformation ------ projects that represent fundamental changes to the way London's streets operate 5. But with so much planned activity and investment how do we prioritise and define the deliverables for all these projects – in line with the MTS
  6. Joe S 1. Spatial Data is playing a big role --------(bigger than ever before really) ------in helping TfL to understand and prioritise it’s investments during the life of this business plan
  7. Joe S I’ll be honest----I’m a data person----as no doubt a lot of you here are too But no in all seriousness...we’re very lucky at TfL, and in London and the UK more broadly, to have substantial and ever increasing amounts of spatial data available to us to help inform these key investment decisions. 2. As you are all no doubt aware, part of the challenge with this data is that its comes in many different formats 3. This in itself presents its own challenge. How do we make sense of all this data in a consistent and legible way that the whole business can understand and apply to there day to day/ BAU work on project development and invetsment decision making?   
  8. Joe S
  9. Joe S So we have our strategy, our plan and our data (which we love) But we also have business processes that guide delivery at TfL 3. Its critically important that strategy and delivery sides of business are aligned to successfully deliver the MTS 4. Bringing together what’s been said. How do we fully exploit our data to do this?   Key Questions for us What’s the best way for us to use spatial data at TfL in delivering the MTS? ----or -------put another way------ How do we extract best value from our data to inform scheme and investment decision making?
  10. HC 1 Minute – (maybe a background image for whole page?) Segway to data aggregation/ simplification Empathy – peoples experience travelling here today Scale and complexity – yes we’re lucky to have all this data, but as Joe says, its tough, how do we utilise all this info – “you can imagine” So simplification of our data, along with alignment to the MTS and business process, is key to the successful application of data to improve decision making at TfL (in scheme dev and investments etc)
  11. HC- 1-2 mins Key concepts Describe why the hex was adopted, what it is, why useful – prioritise – trade off – characterise Spatial language whole business can understand Limitations - Strategic planning – long term trends
  12. HC- <1mins (higher res map will be used) - 15041 Key concepts This is what the grid looks like at the whole London (or GLA level) – there are 15041 elements , or neighbourhoods here ---------So pretty right
  13. Henry Data EG – safety - All Modes Total Casualties (2014 to 2016) People– you can see its local enough to pick out networks and defined hot spots in this example.... 5.6 million bits of data overall across over 200 data sets Includes modelled data, demographic, bus, rail, land use etc etc
  14. Henry Makes joke about image But how do we make this information accessible to the business and embed it into business process? ?
  15. HC – CPT Screenshots describe tool dev w/ esri – web app builder custom widgets – 1 min Access to data Analytical tools Spatial prioritisation Case-making
  16. HC – CPT Screenshots describe tool dev w/ esri – 1 min
  17. HC 1. Link to business process and MTS
  18. HC refer back to pathway and lead into case study – 2 mins Scoring or characterising these neighbourhoods in line with the MTS framework For the healthy streets portfolio Spatial language whole business can understand
  19. HC – Spatial example – HC 1 min Useful at the project level. But we can also see spatially where we should focus on particular outcomes or inform the prioritisation of a programme. See here the safe outcome (casualties and crime levels) visualised for Westminster for example
  20. HC – 1 min Scores for 11491233 – used to develop a outcome definition plan
  21. Joe S
  22. Joe S close – flow diagram ref – our recipe By applying a simple spatial language to our library of spatial data, and working with ESRI to develop an interface that gives employees access to this info, we have delivered a tool that is key to the successful delivery of the MTS
  23. Joe S & HC