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You are invited to the Centre for Urban Resilience & Energy / cities@manchester Forum:
FORESIGHTING a FUTURE
with CITIES ‘How can future-oriented research help 'devo' cities turn austerity to
prosperity’?
Wednesday 24th June 2015
Professor Sir Alan Wilson, UCL (Chair of Lead Expert Group of the GO-Science Foresight on Future of Cities).
FORESIGHT: FUTURE OF CITIES
Image: CASA
4
UK system and city systems
The Foresight Project
Project aim:
Provide central and local government with an evidence base to support decisions in the short term which will lead to positive outcomes for cities in the long term.
Living in Cities
Urban Economies
Urban Metabolism
Urban Form
Urban Infrastructure
Urban Governance
6 KEY THEMES
Spatial scales:
Time horizon:
2065, in the context of contemporary analysis
We continue to engage with a broad range of stakeholders through a series of exercises to develop the evidence base.
Academics
Central Government
Practitioners
Young people
Local Authorities
Major employers
Third Sector
Future Cities Catapult
+ many others
Institutes
Ways of working
5
City visits 19 cities
City futures 6 local projects
City Visions network
Working papers 8 published, 8+ forthcoming,
4+ think pieces
Workshops 14 Whitehall departments
5 expert workshops
Demographic change
6
Demographic change and its distribution:
• Growth, and ageing
• 80M by 2062 (ONS)? • 10M increase in cities by 2040? • where will people live
• the UK balance? • within cities
• need access to good housing, employment
(and hence income), education (as life-long learning), health services, retail, leisure,…
• All require effective connectivity.
Urban economies
7
• unpredictability of technological change
• future of work (and hence income which
will determine ability to pay for goods and
services not provided by the state);
• hollowing out?
• enhancing economic potential, and
preparing for long-run challenges,
demands an integrated ‘offer’
Environment
8
• sustainability: energy, water, waste,…
• climate change, associated low-carbon targets
• some radical thinking needed
Image: Space Syntax
Urban Form
9
• the legacy
– the planning system; green belts
– housing developers’ business models
– town centre/retail structures
– the development of suburbs – polycentric structures but low densities
• the challenges:
– brownfield development vs new garden cities?
– reducing trip lengths, retro-fitting
– while still providing appropriate connectivity
Image: ARUP
Infrastructure systems
1
0
• investment planning is challenging given the diversity of public and private agencies contributing
• most utilities are now paid for by consumers– and hence links with different scenarios on the ‘future of work’
• there are implications for housing and the major services such as health and education
• transport is critical for connectivity
• this is the heart of the smart agenda
Governance and leadership
1
1
• there are strong arguments in play for increased local autonomy
• it is not easy to define ‘local’ in this context because local authority boundaries do not coincide with functional city regions; is beginning to be resolved pragmatically through ‘combined authorities’
• subsidiarity principles needed
Key messages
1
2
Interdependencies in city and regional systems are of crucial
Technology is helping cities to become smart, but this is focused on the present. We need to be smart for the long run
Technological change means that we cannot expect to forecast over 50 year time horizons. What we can do, and will do, is develop scenarios that can be tested
Kathryn Moore, HS2: Landscape Vision for Birmingham, 2012
Summary findings 11 June 2015 (Updated 19th June)
Scenarios-1: projections-based scenarios:
employment-led
Tom Congrave +
Foresight Future of Cities project Government Office for Science
Overview
• An additional set of ‘what if’ scenarios have been
developed for the national system of cities • This adopts an employment-led approach taking into
account different levels of employment growth performance between cities
• It then explores how migration might react
• This approach offers analysis from a different perspective
to the previous population transfer scenarios
Approach – Employment Projections • Developed to reflect the potential alternative pathways of
cities in terms of employment growth in knowledge-based service (KIS) sectors
• Centre for Cities (CFC)’s ‘Century of Cities’ report:
• Reinventors – Those cities that have adapted their economies, creating jobs in new, more knowledge-focused industries to offset losses in more traditional industries; and
• Replicators – Those cities that have struggled to adapt, merely replicating their
economies by replacing jobs in declining industries with lower-skilled, more routinised jobs
Findings - Employment
0
20
40
60
80
100
120
140
Milton Keynes Telford Warrington Crawley Reading Northampton Bristol Swindon Leeds
% g
row
th in
em
plo
yme
nt
Top 10 PUAs, % Employment Growth 2011-2037
‘Baseline Employment-led’ Scenario
Findings – Employment
0
200
400
600
800
1000
1200
London Manchester Bristol Leeds Milton Keynes Reading Crawley Warrington Northampton Bournemouth
Gro
wth
in e
mp
loym
en
t (0
00
s)
Top 10 PUAs, Absolute Employment Growth 2011-2037
‘Baseline Employment-led’ Scenario
Pete Ferguson, Camilo Vargas and Alan Wilson
Scenario Development-2: experiments for London
Experiments for London
• major development in opportunity areas
• new towns beyond the boundaries of the GLA (or other ‘selected’ green belt developments)
• changes in the balance of transport costs
• e.g. minimising car travel; changes in transport technologies
Case Study
15,727,653 Residents
Base - Residential Population (Counts) Data Source: ONS (2011)
Residential Population (Density) Data Source: ONS (2011)
61.4 %
19.5 %
19.1 %
Services
Retail
Industrial
7,727,653 Jobs
Employment Distribution (Counts) Data Source: ONS (2011)
61.4 %
19.5 %
19.1 %
Services
Retail
Industrial
7,727,653 Jobs
Employment Distribution (Density) Data Source: ONS (2011)
Residential
Housing Floorspace (Thousands of m2) Data Source: ONS (2008)
Residential
Housing Floorspace (Density) Data Source: ONS (2008)
Public Transport Network (Train Data Source: OS (2015), Underground Data Source: Wikimedia (2015), and Light rail Data Source: Wikimedia
(2015))
Private Transport Network
(Ordnance Survey Open Roads) Data Source: OS (2015)
Trips residence to workplace
All transport modes Data Source: ONS (2011)
Trips residence to workplace
Trips by car Data Source: ONS (2011)
Trips residence to workplace Trips by bus and coach Data Source: ONS (2011)
Trips residence to workplace Trips by underground, tram and light rail Data Source: ONS (2011)
Trips residence to workplace Trips by train Data Source: ONS (2011)
Some preliminary tests
490,000 Jobs Services
235,000 dwellings Residential
Scenario 1: Development within Opportunity Areas Intensification of employment and housing in designated opportunity areas within
the GLA boundary
490,000 Jobs Services
Scenario 1: Development within Opportunity Areas Intensification of employment and housing in designated opportunity areas within
the GLA boundary
490,000 Jobs Services
Scenario 1: Development within Opportunity Areas Intensification of employment and housing in designated opportunity areas within
the GLA boundary
235,000 dwellings Residential
Scenario 1: Development within Opportunity Areas Intensification of employment and housing in designated opportunity areas within
the GLA boundary
Scenario 1: Development within Opportunity Areas Intensification of employment and housing in designated opportunity areas within
the GLA boundary
Output: Change in residents distribution.
Residents Density (Before)
Scenario 1: Development within Opportunity Areas Intensification of employment and housing in designated opportunity areas within
the GLA boundary
Output: Change in residents distribution.
Residents Density (After)
Scenario 1: Development within Opportunity Areas Intensification of employment and housing in designated opportunity areas within
the GLA boundary
Output: Change in residents distribution
Residents Change
Scenario 2: Relaxation of Greenbelt policy Relaxation of Greenbelt planning restrictions with extra supply permitted outside
the GLA boundary but within the London city-regional commuter zone
Scenario 2: Relaxation of Greenbelt policy Relaxation of Greenbelt planning restrictions with extra supply permitted outside
the GLA boundary but within the London city-regional commuter zone
Output: Change in residents distribution
Residents Density (Before)
Scenario 2: Relaxation of Greenbelt policy Relaxation of Greenbelt planning restrictions with extra supply permitted outside
the GLA boundary but within the London city-regional commuter zone
Output: Change in residents distribution
Residents Density (After)
Scenario 2: Relaxation of Greenbelt policy Relaxation of Greenbelt planning restrictions with extra supply permitted outside
the GLA boundary but within the London city-regional commuter zone
Output: Change in residents distribution
Scenario 2: Relaxation of Greenbelt policy Relaxation of Greenbelt planning restrictions with extra supply permitted outside
the GLA boundary but within the London city-regional commuter zone
Output: Change in residents distribution
Scenario 3: Public transport subsidy and road pricing Change in travel flows between residence and workplace by car
(Before)
Scenario 3: Public transport subsidy and road pricing Change in travel flows between residence and workplace by car
(After)
Scenario 3: Public transport subsidy and road pricing Change in travel flows between residence and workplace by train, underground,
and light train
(Before)
Scenario 3: Public transport subsidy and road pricing Change in travel flows between residence and workplace by train, underground,
and light train
(After)
Scenario 3: Public transport subsidy and road pricing Change in travel flows between residence and workplace
Output: Change in residents distribution
Residents Density (Before)
Scenario 3: Public transport subsidy and road pricing Change in travel flows between residence and workplace
Output: Change in residents distribution
Residents Density (After)
Scenario 3: Public transport subsidy and road pricing Change in travel flows between residence and workplace
Output: Change in residents distribution