The Centre for Advanced Spatial Analysis at University College London conducts research on urban modelling and simulation. This includes developing integrated land use and transport models to forecast urban growth, an agent-based model of mobility in London, and analyzing big data sources like smart card taps and bike sharing data. The group is also involved in projects on the science of cities, using techniques like percolation theory and network analysis to study city structure and growth patterns.
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UCL CASA Projects Spatial Analysis Modelling Mobility Sensing Science Cities
1. Centre for Advanced Spatial Analysis, University College LondonCentre for Advanced Spatial Analysis
What
We
Do
in
CASA
At
University
College
London
Vassilis
Zachariadis
h#p://www.casa.ucl.ac.uk/
Centre for Advanced Spatial Analysis, University College LondonCentre for Advanced Spatial Analysis
v.zachariadis@ucl.ac.uk
2. Centre for Advanced Spatial Analysis, University College LondonCentre for Advanced Spatial Analysis
Things
we
are
doing
• The
Simula+on
Modelling
Projects:
for
the
FCC,
land
use
transport
forecas9ng
models
• The
Mobility
Projects:
Insight
Project:
FP7
Review
of
Land
Use
Transport
Models
–
LUTI
• The
Sensing
Projects:
Big
Data
Subway
and
Taxi
Data
Flows;
Matching
Demand
and
Supply
• The
Science
of
Ci+es
Projects:
ERC
AdG
Mechanicity
Allometry
of
City
Sizes
–
Percola9on,
Ci9es
as
Networks
• Other
Projects:
EPSRC
Global
Dynamics,
Urban
Flow
Engine,
ESRC
Talisman,
Several
Small
Projects
on
Visualising
3D
CiIes,
City
Engine,
VR,
Social
Media
Data
etc.
3. Centre for Advanced Spatial Analysis, University College LondonCentre for Advanced Spatial Analysis
Amongst the first integrated urban models in
the UK were built for the Tyndall Centre for
Climate Change Cities program which
involved linking macro-economic and
demographic to land use, transport and
hydrological models dealing with flooding.
Here is the block diagram
4. Centre for Advanced Spatial Analysis, University College LondonCentre for Advanced Spatial Analysis
The
Simula+on
Modelling
Projects:
for
the
FCC,
land
use
transport
forecas9ng
models
–
this
is
the
area
we
are
spinning
off
as
a
semi-‐commercial
opera9on
–
to
build
plaQorms
for
urban
land
use
transport
models
Demographic
Microsimulation
Model
LUTI Model
5. Centre for Advanced Spatial Analysis, University College LondonCentre for Advanced Spatial Analysis
Demographic
Microsimulation
Model
LUTI Model
Leeds
Geography
Cambridge
Land
Economy
CASA -UCL
Leeds
Transport
Studies
Newcastle Civil Engineering
This Consortium was funded by NERC through RCUK
Led by Jim Hall (Oxford) who is involved in our platform
6. Centre for Advanced Spatial Analysis, University College LondonCentre for Advanced Spatial Analysis
ENERGY - WATER
INTERMEDIATE INPUTS
FACTORS OF PRODUCTION
SERVICES
LAND
CAPITAL
LABOUR
generation of demand in each zone
7. Centre for Advanced Spatial Analysis, University College LondonCentre for Advanced Spatial Analysis
DEMANDED
INPUT
emergence of prices and densities from constraints (mainly land and density)
PRODUCTION
LOCATION PRODUCTION
LOCATION
PRODUCTION
LOCATION
PRODUCTION
LOCATION
assignment of demand in production locations
8. Centre for Advanced Spatial Analysis, University College LondonCentre for Advanced Spatial Analysis
The Structure of SIMULACRA
9. Centre for Advanced Spatial Analysis, University College LondonCentre for Advanced Spatial Analysis
10. Centre for Advanced Spatial Analysis, University College LondonCentre for Advanced Spatial Analysis
11. Centre for Advanced Spatial Analysis, University College LondonCentre for Advanced Spatial Analysis
12. Centre for Advanced Spatial Analysis, University College LondonCentre for Advanced Spatial Analysis
13. Centre for Advanced Spatial Analysis, University College LondonCentre for Advanced Spatial Analysis
TesIng
the
Impact
of
Cross
Rail-‐1
14. Centre for Advanced Spatial Analysis, University College LondonCentre for Advanced Spatial Analysis
15. Centre for Advanced Spatial Analysis, University College LondonCentre for Advanced Spatial Analysis
16. Centre for Advanced Spatial Analysis, University College LondonCentre for Advanced Spatial Analysis
17. Centre for Advanced Spatial Analysis, University College LondonCentre for Advanced Spatial Analysis
18. Centre for Advanced Spatial Analysis, University College LondonCentre for Advanced Spatial Analysis
19. Centre for Advanced Spatial Analysis, University College LondonCentre for Advanced Spatial Analysis
20. Centre for Advanced Spatial Analysis, University College LondonCentre for Advanced Spatial Analysis
21. Centre for Advanced Spatial Analysis, University College LondonCentre for Advanced Spatial Analysis
22. Centre for Advanced Spatial Analysis, University College LondonCentre for Advanced Spatial Analysis
23. Centre for Advanced Spatial Analysis, University College LondonCentre for Advanced Spatial Analysis
24. Centre for Advanced Spatial Analysis, University College LondonCentre for Advanced Spatial Analysis
SIMULACRA
A simplification and extension of one part of
SIMULACRA is being developed for the FCC
by CASA called the QUANT model that will
cover all areas of England and Wales in a
single model at the scale of middle layer
super output areas (average units of 7500
population, 7201 in total)
25. Centre for Advanced Spatial Analysis, University College LondonCentre for Advanced Spatial Analysis
QUANT Outline
QUANT in one line:
Take n=7201 Census MSOA travel to work areas, compute n2=51,854,401
interactions and fit a mathematical model to the data based on distance.
Mean predicted O→D
flows
26. Centre for Advanced Spatial Analysis, University College LondonCentre for Advanced Spatial Analysis
The
Mobility
Projects:
Insight
Project:
FP7
Land
Use
Transport
Models
–
LUTI
and
the
development
of
an
agent
based
model
of
London
and
the
Outer
Met
Area
–
simulates
some
400,000
households
trip
paVerns
using
acIvity
model
EvaluaIon
of
model
performance
–
focus
in
London
Transport
infrastructure
(supply)
– Road
network
– Public
transport
services:
tube,
bus,
– overground,
DLR,
rail
27. Centre for Advanced Spatial Analysis, University College LondonCentre for Advanced Spatial Analysis
28. Centre for Advanced Spatial Analysis, University College LondonCentre for Advanced Spatial Analysis
29. Centre for Advanced Spatial Analysis, University College LondonCentre for Advanced Spatial Analysis
~520k road links
https://vimeo.com/119354430
30. Centre for Advanced Spatial Analysis, University College LondonCentre for Advanced Spatial Analysis
The
Sensing
Projects:
Big
Data
Subway
and
Taxi
Data
Flows;
Matching
Demand
and
Supply
Smart
Card
Data
Oyster
Card
Taps
Tap
at
start
and
end
of
train
journeys
Tap
at
start
only
on
buses
Accepted
at
695
Underground
and
rail
staIons,
and
on
thousands
of
buses
991
million
Oyster
Card
taps
over
Summer
2012
–
this
is
big
data
31. Centre for Advanced Spatial Analysis, University College LondonCentre for Advanced Spatial Analysis
h?p://www.simulacra.info/
32. Centre for Advanced Spatial Analysis, University College LondonCentre for Advanced Spatial Analysis
Oyster
Card
Data
–
interpreIng
urban
structure,
mulItrips,
etc.
33. Centre for Advanced Spatial Analysis, University College LondonCentre for Advanced Spatial Analysis
We
can
examine
origins
volumes,
desInaIon
volumes
separately
and
we
are
doing
but
here
we
will
simply
add
these
together
as
total
volumes
–
in
this
sense
they
will
not
have
meaning
any
longer
as
trips
We
will
now
examine
the
profiles
of
behaviour
during
the
24
hour
day
to
provide
some
sense
of
the
problem
34. Centre for Advanced Spatial Analysis, University College LondonCentre for Advanced Spatial Analysis
Entries
Leakage
Exits
35. Centre for Advanced Spatial Analysis, University College LondonCentre for Advanced Spatial Analysis
ParIcular
Events:
Weekdays,
Saturdays
and
Sundays
2am 4am 6am 8am 10am 12pm 2pm 4pm 6pm 8pm 10pm 12am 2am 4am
−100
0
100
200
300
400
500
600
700
800
900
Time of Day
NumberofEvents
Entry at Arsenal (10 Mn. Intervals)
Weekday
Saturday
Sunday
2am 4am 6am 8am 10am 12pm 2pm 4pm 6pm 8pm 10pm 12am 2am 4am
−1000
−800
−600
−400
−200
0
200
400
600
800
1000
Time of Day
NumberofEvents
Entry at Bank (10 Mn. Intervals)
Weekday
Saturday
Sunday
2am 4am 6am 8am 10am 12pm 2pm 4pm 6pm 8pm 10pm 12am 2am 4am
−150
−100
−50
0
50
100
150
Time of Day
NumberofEvents
Entry at Bayswater (10 Mn. Intervals)
Weekday
Saturday
Sunday
2am 4am 6am 8am 10am 12pm 2pm 4pm 6pm 8pm 10pm 12am 2am 4am
−500
−400
−300
−200
−100
0
100
200
300
400
Time of Day
NumberofEvents
Entry at Camden Town (10 Mn. Intervals)
Weekday
Saturday
Sunday
Nightlife
Work
Tourism?
Events
36. Centre for Advanced Spatial Analysis, University College LondonCentre for Advanced Spatial Analysis
Circle and District line
part closure
From Edgware Road to
Aldgate/Aldgate East
19th July 2012
07:49 to 12:04
1234022 Oyster Cards
with regular pattern
during disrupted time
period travelled
37. Centre for Advanced Spatial Analysis, University College LondonCentre for Advanced Spatial Analysis
Increased Travel Time
Greater than 2SD above mean increase on usual
travel time for that Oyster Card
Size equal to proportion of users that regularly travel from station
during time period, and travelled that during disruption
38. Centre for Advanced Spatial Analysis, University College LondonCentre for Advanced Spatial Analysis
Exemplar
4:
The
Public
Bike
Scheme:
Local
Rou9ng
and
Local
Models
of
Movement
Bikes Data – 4200 bikes, started Nov 2010, all the data–
everything – all trips, all times, all stations/docks
39. Centre for Advanced Spatial Analysis, University College LondonCentre for Advanced Spatial Analysis
40. Centre for Advanced Spatial Analysis, University College LondonCentre for Advanced Spatial Analysis
Geolocated Tweets and estimated activity patterns.
Colours reflect estimated activity (Red: Offices, Yellow: Retail, Green: Leisure, Cyan: Rail).
https://www.youtube.com/watch?v=seH0GkKb36I
41. Centre for Advanced Spatial Analysis, University College LondonCentre for Advanced Spatial Analysis
New York London Paris Moscow
42. Centre for Advanced Spatial Analysis, University College LondonCentre for Advanced Spatial Analysis
Modelling and Visualising Pedestrian Congestion in Neighbourhoods
and Large Building Complexes
43. Centre for Advanced Spatial Analysis, University College LondonCentre for Advanced Spatial Analysis
Modelling and Visualising Pedestrian Congestion in Neighbourhoods and Large Building Complexes
https://www.youtube.com/watch?v=QWuHTXufElU
44. Centre for Advanced Spatial Analysis, University College LondonCentre for Advanced Spatial Analysis
The
Science
of
Ci+es
Projects:
ERC
AdG
Mechanicity
Allometry
of
City
Sizes
–
Percola9on,
Ci9es
as
Networks
45. Centre for Advanced Spatial Analysis, University College LondonCentre for Advanced Spatial Analysis
Shi`s
in
Traffic
Accessibility
if
all
Bridges
across
the
Thames
are
Inoperable
as
far
West
as
Hammersmith
46. Centre for Advanced Spatial Analysis, University College LondonCentre for Advanced Spatial Analysis
Shi`s
in
Traffic
Accessibility
if
all
Bridges
across
the
Thames
are
Inoperable
as
far
West
as
Hammersmith
47. Centre for Advanced Spatial Analysis, University College LondonCentre for Advanced Spatial Analysis
Other
Projects:
Several
Small
Projects
on
Visualising
3D
CiIes,
City
Engine,
VR,
Social
Media
Data
etc.
EPSRC
Global
Dynamics,
Urban
Flow
Engine,
ESRC
Talisman,
48. Centre for Advanced Spatial Analysis, University College LondonCentre for Advanced Spatial Analysis
SimulaIng
Crowds:
Fine
Scale
Modelling
and
Sensing
In
a
different
tradiIon
but
one
which
is
rapidly
converging
with
our
interests
in
sensing
and
networks,
we
have
developed
a
number
of
pedestrian
models,
first
for
the
Nofng
Hill
Carnival,
and
then
for
many
town
centres
49. Centre for Advanced Spatial Analysis, University College LondonCentre for Advanced Spatial Analysis
We
are
now
working
on
fine
scale
models
which
are
mirror
diffusion
and
spread
in
situaIons
ranging
from
epidemics
to
evacuaIon
and
shopping.
We
have
a
simple
model
of
epidemics
on
networks
in
London
and
we
are
looking
at
evacuaIons
of
major
shopping
centres
such
as
Covent
Garden
(right)
50. Centre for Advanced Spatial Analysis, University College LondonCentre for Advanced Spatial Analysis
Thanks
h#p://blogs.casa.ucl.ac.uk/
h#p://www.casa.ucl.ac.uk/
Acknowledgements
Michael
Ba#y,
Andy
Hudson-‐Smith,
Richard
Milton,
Oliver
O’Brien,
Stephen
Gray,
Fabian
Neuhaus,
Pete
Ferguson,
Mar9n
Austwick,
Joan
Serras,
Camilo-‐Vargas-‐Ruiz,
Paul
Longley,
Jon
Reades,
Ed
Manley,
Anders
Johansson,
Elsa
Arcaute