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UK town centres: forces impacting the vitality and viability
Dr L.Dolega E-mail:[email protected]
www.cdrc.ac.uk
UNIVERSITY OF
Southampton School of Geography
Competition from out-of-centre retail developments
and adoption of ‘town centres first’ policies
Economic crisis and austerity
Rapid expansion of online retailing
Shifting consumer behaviour towards convenience
and value
Changing demographics
Forces shaping town centre
performance
‘Free for all’ approach (Guy, 2007)
‘Town centres first’ – regulatory tightening
Prioritisation of UK town centres by PPG6
Adoption of the ‘sequential test’
Social inclusion’ and ‘urban regeneration’ agendas
Promotion of the vitality & viability of town centres by
PPS6, PPS4 and NPPF
Impact of retail planning policies
Source: Griffith and Harmgart, 2008
Effects of policy tightening on retail
developments
Decrease in large retail developments
Adjustment of the major retailers to the planning regime
‘Policy friendly’ stores - located in/edge-of-town centre
Store formats flexibility
Retail-led urban regeneration
‘Food deserts’ and
social inequality agendas
‘Mezzanine floor loophole’
Response of UK town centres to the
economic crisis and austerity
267 centres with retail composition
surveys completed after the collapse
of CCI - Oct 2008
119 in South West
31 in East Anglia
93 in North West
24 in West Yorkshire
Pre-crisis surveys completed in 2006
– 2007
Within-crisis surveys carried out either
in Q4 2008 or 2009
Cross-regional analysis
Change in retail categories
Large increase in vacant retail:
Relative change +28.2%
Absolute change +2.7pp (increase
from 10.4% to 13.1%)
Major contributors to closures:
comparison retail (-5.3%)
financial services (-3.2%)
Convenience retail more resilient
Leisure services - positive growth in
all regions
Cross-regional study – descriptive results
2,7
-2,5
-0,2 -0,1 -0,5
0,6
-4
-3
-2
-1
0
1
2
3
4
Vacant Retail Comparison Convenience Retail Service Financial &BusinessServices
LeisureServices
Absolute change in retail categories
pp
28,2%
-5,3% -1,1%
0,4%
-3,2%
4,3%
-10%
0%
10%
20%
30%
40%
Vacant Retail Comparison Convenience Retail Service Financial &BusinessServices
LeisureServices
Relative change in retail categories
North South Avg across sample
-8,6% -9,4%
-7,8%
6,9%
0,6%
-3,4% -4,3%
8,0%
-9,9% -9,2% -12,1%
-1,1%
15,9%
-26,5% -29,5%
-40%
-30%
-20%
-10%
0%
10%
20%
30%
An
tiq
ue &
Art
Bo
okselle
rs
Sp
ort
& L
eis
ure
Charity
Shops
Chem
ists
&
Be
auty
Clo
thin
g &
Fo
otw
ear
DIY
,Carp
ets
&E
lectr
ical
Household
dis
counte
rs
Fu
rnitu
re s
tore
s
Gifts
& T
oys
Flo
rists
Jew
elle
rs
Te
lephones
&accessorie
s
Mu
sic
,Film
&P
hoto
Sto
res
Depart
me
nt
Sto
res
North South Avg across sample
Most fragile
Department stores -29.5%
Music, video & photography -26.5%
Florists -12.1%
Furniture shops -9.9%
Booksellers -9.2%
Gift and Toys -9.2%
Most resilient
Phones & accessories +15.9%
Household discounters +8.0%
As a result of filling vacant space:
Charity shops +6.9%
Cross-regional study –
change in comparison retail
-0,3% -8,2%
25,2% 21,4%
42,2%
-3,8% 5,6%
-3,7% -7,9% -7,1%
-30%
-15%
0%
15%
30%
45%
60%
75%
Bak
ers
&C
on
fect
ion
ers
Bu
tch
ers
&Fi
shm
on
gers
Ind
epen
den
tC
on
ven
ien
ce S
t
Sym
bo
lC
on
ven
ien
ce S
t
Co
rpo
rate
Co
nve
nie
nce
St
Fro
zen
Fo
od
&Su
per
mar
kets
De
licat
ess
en &
Gro
cers
Hea
lth
Fo
od
s
Gre
en
gro
cers
CTN
's &
Off
Lice
nce
s
North South Avg across sample
Cross-regional study –
change in convenience retail
Most fragile
Butchers & Fishmongers -8.2%
Greengrocers -7.9%
CTN & Off licences -7.1%
Most resilient Convenience Stores:
Multiple +42.2%
Independent +25.2%
Symbol Group +21.4%
Grocers & delicatessen +5.6%
Change in retail vacancy rates –
response variable
Spatial variability in vacancy rate:
up in 185 (69.3%) centres
down in 61 (22.8%) centres
unchanged in 21 (7.9%) centres
The average cross-regional increase
in vacancy rate:
+2.2pp for fixed boundaries
+1.9pp for variable boundaries
Cross-regional modelling
Changes in Vacancy Rates have been filtered through two systems:
1. Regional economic system in which centres are located
North – South divide
Affluence of catchments
2. Existing local economic structures
The mix and interdependencies of businesses (balance of retail vs.
services, diversity and presence/entry of a corporate foodstores)
Local supportive/unsupportive institutional structures (car park charges,
town centre manager, BIDs schemes or attracting key ‘magnet stores’)
Physical configuration of a centre (size, proportion of larger modern shops
and level of ‘structural – harmful vacancy’)
Explanatory variables
Explanatory Variable Parameter
estimate
Standard
Error
T-value
Constant -0.076 0.019 -3.998**
South-North divide -0.016 0.004 -4.170**
Centre size (Log) 0.013 0.002 5.743**
Retail diversity pre-crisis -0.027 0.013 -2.139*
Corporate food store entry -0.008 0.004 -2.081*
Retail vs services % pre-crisis 0.095 0.021 4.463**
Structural vacancy pre-crisis 0.060 0.010 6.130**
Std Avg Store Size x Std magnet store floorspace
-0.349 0.082 -4.243**
Best supported model
--------------------------------------------------------
**parameter estimate significant at 1%, * significant at 5%.
R squared = 35.6% N = 259
P-value for normality test of residuals =0.84
Durbin-Watson d value = 2.17
Condition index value = 28.61
Which town centres are more resilient?
Published in E&P A
Attracted large interest in the
UK and internationally
Nominated for the AESOP
best published paper prize
Impact of the cross-regional study
Intra-urban study design
47 retail centres in Bristol
surveyed by Goad down to a
shopping parade with 15 units
All centres surveyed in three
different periods:
Pre-crisis (Jul 2006)
Within-crisis (Oct 2008-Feb 2009)
Austerity period (Feb-Mar 2012)
Main characteristics of Bristol
centres in pre-crisis
75% centres small - average centre
size 88 units
High ratio of services (1.7) relative
to retail
High diversity - independent retailers
73%
Characteristics of Bristol centres
Main aims
Validate cross-regional results at
local scale
Model the performance of UK retail
centres during austerity
Cross-regional findings hold well at local scale
Over the longer term - three variables significant: Diversity in the pre-crisis
Beneficial role of services
Presence of policy-compliant corporate foodstore/anchor store
Significance of centre size, structural vacancy and income deprivation waned
Explanatory Variable Parameter
estimate
Standard
Error
T-value
Constant -0.099 0.047 -2.124
Retail vs services % pre-crisis 0.168 0.069 2.428
Centre size (Ln) 0.020 0.008 2.415
Retail diversity pre-crisis -0.110 0.033 -3.321
Structural vacancy pre-crisis 0.098 0.028 3.506
Corporate supermarket presence -0.039 0.017 -2.258
Income deprivation 0.101 0.057 1.755
R squared = 48.4% N = 47
Intra-urban modelling
Conceptualising the results
Intriguing question in economic geography – ‘why some regional economies manage to renew themselves, whereas
others remain locked in decline’? (Hassink, 2010)
Resilience of economic systems recently attracted wide-spread
attention of social sciences
Resilience is defined as: ‘the ability to recover form and position elastically following a disturbance
of some form’
Evolution of UK town centres
affected by: Unexpected shocks – economic crisis
‘Slow burns’ – competition from online
and out-of-town retailers, changes in
consumer culture
Adaptive resilience of town centres
Town centre adaptive resilience linked to:
pre-crisis position in adaptive cycles
knowledge and innovation of various
actors
successful interventions across
multiple scales
The
Adaptive
Cycle
Growth
INNOVATION & CREATIVITY HIGH NEW RETAIL UNITS OPEN UP HIGH RETAIL CHURN
RESILIENCE HIGH
Consolidation
PERIOD OF STABILITY LOW RETAIL CHURN SLOW RESPONSIVENESS TO CHANGE
INCREASING RIGIDITY
RESILIENCE DECLINING
RESILIENCE LOW
Release
INCREASING VACANCY RATES/ SHOP CLOSURES
ECONOMIC OR COMPETITIVE SHOCK TRIGGERS CHANGE
RESILIENCE INCREASING
Reorientation
EMERGENCE OF INNOVATION
NEW INTERDEPENDENCIES AND SYMBIOTIC RELATIONSHIPS
INSTITUTIONAL SUPPORT
Progressive rise of online sales
Impact on traditional high streets
Rise of e-commerce, m-commerce and
omni-commerce
Online sales reached 12% of the total
sales in the UK
Amazon - 8th biggest retailer in the UK
Major retailers transformed into ‘bricks &
clicks’
Impact on traditional high streets
Changing face of internet use and
online shopping
Emergence of a new demographic
group – the ‘digital generation'
Geography of online shopping
Role of geo-demographics in
predicting internet shopping
patterns
The e-resilience project
E-resilience - vulnerability and response of British retail centres
to the effects of rapidly growing online sales
Aims and objectives: Estimation of catchment areas for
evolved retail centres
Multidimensional classification of
UK town centres
Measures of Internet engagement
at small area level
Defining characteristics of e-
resilient catchments
Dimensions of e-resilience
Connectivity - available
infrastructure to get online
Behaviour - propensity to use
internet for shopping
Demographics (ethnicity, age,
gender, disability)
Retail supply - attractiveness,
accessibility & convenience
Hierarchy of retail centres
Measures of vitality & viability PPS4 INDICATORS
AMT BENCHMARKING: KEY
PERFORMANCE INDICATORS
ATCM Indicators
A1: Diversity of main town centre uses KPI 1: Total number of commercial units Diversity and vitality of place:
retail offer
culture and leisure offer
events
reported crime
markets
A2: Amount of floorspace outside centres KPI 2: Retail by Comparison/Convenience
A3: Capacity for growth/change in centres
A4: Retail representation KPI 3: Key attractors / multiple trader
representation
KPI 5: Number of markets / traders
A5: Shopping rents Economic characteristics:
retail sales
partnership working
charity shops
vacant retail units
evening / night time economy
A6: Vacancies KPI 4: Number of vacant units
A7: Commercial yields KPI 6 and 7: Zone A Retail Rents and Prime Retail
Property Yields
A8: Land values and length of time key sites
have remained undeveloped
A9: Pedestrian flows KPI 8: Footfall People and footfall:
footfall,
geographical catchment,
access,
car parking,
community spirit
A10: Accessibility KPI 9: Car Parking Availability and Usage
A11: Customer and residents’ views and
behaviour
KPI 10: Business Confidence Survey
KPI 11: Town Centre Users Survey
KPI 12: Shoppers Origin Survey
Consumer and business perceptions:
Business confidence
Visitors satisfaction
Attractiveness
Crime and safety perceptions
A12: Perception of safety and occurrence of
crime
A13: Town centre environmental quality