dr simone zarpelon leao - unsw
TRANSCRIPT
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School Planning in Smart Cities:
The role of Data, Technology & Systems Dr Simone Z Leao City Futures Research Centre, UNSW, Sydney, Australia Presented at School Planning, Design & Construction Conference 2016, Sydney.
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https://cityfutures.be.unsw.edu.au/
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https://cityfutures.be.unsw.edu.au/research/city-analytics/
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https://cityfutures.be.unsw.edu.au/cityviz/
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Data Information Knowledge Planning & Decision
Volume Velocity Variety Veracity Value
Analytics Integration Visualisation
Research, Teaching & Capacity building
Partnerships in Real-world projects
City Futures Research centre / Data Analytics Groups Scope of work:
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Data evaluation Data cleaning Data visualisation
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https://cityfutures.be.unsw.edu.au/cityviz/strata-schemes-sydney/
Longitudinal official data
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https://cityfutures.be.unsw.edu.au/cityviz/million-dollar-sales/
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https://cityfutures.be.unsw.edu.au/cityviz/cycling-sydney/
Crowdsourcing
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Social Media Twits about “Overcrowded Schools” in the last week.
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Smart Systems, sensors
30 min city concept
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Participatory GIS Interactive/multi-stakeholder MapTable
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May 2016
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Built with ArcMap Model Builder.
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Modelling for better understanding processes Modelling for scenarios’ assessment
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Agent-based model of urban renewal driven by economic feasibility of development and constrained by planning controls
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Sensitivity analysis: Construction cost (Significant effect)
Default +10% +20%
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Step 100
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Virtual Reality Immersive visualisation and assessment of built environments
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Kensington Town Centre Urban Renewal
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Winner of the 2016 K2K International Urban Design Competition
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Projects associated to School Planning
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UNSW & NSW DAC:
Can new big-data assist in a better modelling of a synthetic population & Travel Diaries for planning purposes?
Challenges: • Data is varied and fragmented, difficult to integrate; • Still difficult to access fine scale data from owners/custodians; • Models describing behaviour are not fully developed yet; • Future projections are still heavily based on past trends.
Can SP-TD be used to evaluate future demand of population on urban infrastructure?
Challenges: • Self-correcting models with high frequency of data input are required
to better understand behaviour and trend/cycle changes;
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Synthetic population 2011
…..
Ho
use
ho
ld
Ind
ivid
ual
s
Socio-demographics and location
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Travel Diary (2011)
Ind
ivid
ual
s
Ho
use
ho
ld
Trips’ characteristics
Home
Bus stop
Bus stop
School P
P
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Travel diaries of a synthetic population
Not public yet
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Synthetic population to explore possible futures driven by spatial strategies
Comparison of Scenarios overall growth and allocation
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The percentage of primary students walking to school in Sydney region have declined from 60% in 1971 to 25% in 2003, while drop-off by private car have increased from 20% to 65% during the same period. (van der Ploeg et al, 2008, Preventive Medicine)
Walkability to Schools: urban health
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Walkability to Schools: urban health
How can we increase walkability to primary schools in Sydney? Methods • Mapping walkability to schools. • Better understanding of school selection process by families. • Better understanding selection of mode of transport to school.
Challenges • Some required data is not available (possible crowdsourcing).
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https://cityfutures.be.unsw.edu.au/cityviz/k2k-walkability-indicators/
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Not public yet
It is not only a matter of proximity ….
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Summary • New high resolution data in space and time and the ubiquity
of advanced computing brings great opportunities to infrastructure planning;
• They also bring challenges associated to their 5Vs;
• Data and technology are instrumental by themselves, requiring new integrative systems to put them into service of better planning.
Thanks!
Simone Z Leao, [email protected]