2012/10/11 9:15 Tool Talks, City Science Workshop, U. of Toronto

City Science academic and industry presentations (7 minutes each) on emerging tools, techniques, data and models for collaborative work. At workshop on “Finding Connections Between City Systems and Subsystems”, University of Toronto Cities Centre, October 10-11, 2012.

This digest was created in real-time during the meeting, based on the speaker’s presentation(s) and comments from the audience. The content should not be viewed as an official transcript of the meeting, but only as an interpretation by a single individual. Lapses, grammatical errors, and typing mistakes may not have been corrected. Questions about content should be directed to the originator. The digest has been made available for purposes of scholarship, posted by David Ing.

Introduction by Steve Easterbrook

Jump to …

[Mark Ho] [Rhys Goldstein] [Ramtin Attar] [Jose Lobo] [Slobodan Simonovic] [Chris Kennedy] [David Ing (systems)] [Andre Sorensen and Paul Hess] [Seanna Davidson] [Marc-Paul Gauthier] [David Ing (MRM)] [Michael van der Laan]

Mark Ho, Esri, “Esri Geodesign”

Demo of Esri CityEngine

  • New product, acquired from Procederal, in Switzerland
  • World of geodesign

Main role to create high quality 3D

Can genearate content

  • Cars 2, Total Recall backgrounds were built with this
  • Done with rules

3D design tool: geodesign

  • Interactively change parameters of a complex

Example: 2D building footprint map

  • Apply rule to show in 3D
  • Zoom into a block
  • Rules prewritten or can be written, e.g. footprintRooftop

Standalone product from other ESRI products

Software levels, product is 64 bit

After rule has been applied, can change parameters of a building, e.g. level of detail (low to high), building height, windows types

Can add in street data, change data

Hard surfaces, e.g. empty lot, would like to add development: add some partial data, and then apply a rule for some buildings, the implement scenarios, could change height from 30m to 50m, spacing between buildings, generate a facade, generate some greenspace, generate interiors as well as exteriors

Can also generate reports: floor area ratio, gross floor space

Can generate from scratch

2012 release, can work with the web: City Engine Web Scenes, so that can publish on the web

  • Example for the City of Philadelphia
  • Bookmarks for navigation
  • Can see highways generated with cars, streets with trees
  • Building proposed, can be shown to users in different ways, with what’s currently available: two panes with wipe between
  • Can change sunlight

[Questions]

Level of materials, e.g. amount of concrete?

  • Yes, can design into a rule, then can report

[jump to top]

Rhys Goldstein, Autodesk “Design DEVS”

Would like to present Rob Ford’s transit model in a simulation

Collaboration between programmers

Two steps:

  • 1. Form teams to model certain systems, e.g. traffic, power, food supply
  • Go away for 2 years, and write independently
  • This is easy to do
  • 2. Hard part would be to put these together, as a system of systems

DEVS was developed in 1976, the description from Wikipedia is difficult, so the first job will be to make it more accessible

Formula presented as maps

  • Flowchart as simulation progresses

Could try simulation with input messages, e.g. someone getting on a subway

  • e.g. output, coming out of a subway

Then statistics, e.g. wait time

Collaboration of two DEVS models, e.g. city traffic with ambulance service

Software called DesignDEVS, hope to circulate for free this spring

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Ramtin Attar, Autodesk, “Project Dasher”

“We shape our buildings; thereafter they shape us” — Winston Churchill

How do we measure sustainability at a building level?

New York Times: “Some Buildings Not Living Up to Green Label”

  • Can we measure sustainability, in complex systems?

Gap between design and operation of the built environment

  • Have a lot of tools in the design space, not so many in operation
  • Design process is only 3% of cost in the entire life cycle of building

Where is most energy being used in a building?

Started Project Dasher

  • Combination of a building information model (an intelligent 3D model, manufacturing, assembly, construction), data collection from building control systems, submeters, cubicle sensors
  • Dasher is the context within which data is brought it, otherwise it doesn’t make sense

Can break the building into a hierarchy

  • e.g. energy usage for floor, cubicle

Goal: visualize a massive amount of data over time

Not just looking at high visualization, combined with HVAC, etc.

Prototype: load onto iPad, then can walk around a building

  • Currently some use Google Docs to transfer

Pilot projects include Government of Canada; Netzero building in Cradle to Cradle; NASA

Can we think of a building that gets better of time, as it ages?

For Dasher, can see a trend towards data growing in the Internet of Things, will have trillions of sensors in cities

  • CitySense: An Open, urban-Scale Sendor Network Testbed, Harvard U. and BBN Technologies
  • Portugal: City as a Living Lab
  • At Carleton University, Batawa research, in conjunction with Lady Bata, data from 1940 – 1960 – 1980, can see road formation and building envelopes at different stages, combined building information models and infrastructure models, enables public imagination
  • First Nations Land Planning and Infrastructure Management: have challenges combining with subsystems and systems, little intelligent data from city buildings

Conference: SimAUD, http://simaud.org/2013

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Jose Lobo, School of Sustainability, Arizona State University, “Metabolism and Economic Activity for Global Urban Areas: Empirical Challenges”

Background as physicist

  • Building theories as a goal
  • Can only build good theories, if have good data

Urban economics: have good data

  • e.g. characteristics been urban environment, and innovation
  • Mostly rely on data in North America and Europe, because that’s where we have data

How do we build models for other places in the world?

We know how many people live in Mumbai

  • But how much activity occurs?
  • From census bureau in the U.S., have the value of economic activity coming out of cities

Metaphor: urban metabolism

  • Taking inputs, generating outputs
  • To turn metaphor into model, how much energy does a city use?
  • Difficult to answer in the U.S., even more difficult for global cities

Defense department has Night Time Light (NTL) data, as a byproduct

  • Defense Metereological …

Has led to research, e.g. “The Rise of the Mega-region” by Richard Florida; “Shedding Light on the Global Distribution of Economic Activity”

Also axiomatic will be some relationship between economics and light

Challenges:

  • What is relationship between NTL (night time lighting), and economic activity?
  • Can easily download data, be used to publish

Problem: saturation

  • Light emissions are recorded on a scale of 0 to 63; past a certain level of intensity, the sensors are not sensitive enough
  • Data is collected, passed on to NOAA, then available
  • Unsaturated data is available only for one year, 2006

As organisms get larger, they get more efficient of use with energy

  • Are cities like or unlike organisms?

Some research at U. of Toronto

  • Research proposal to NASA rejected

[Questions]

Any outliers on relationship? Russia?

  • Haven’t examined at global scale
  • For North America, the differences between richest and poorest not so large

[jump to top]

Slobodan Simonovic, University of Western Ontario, “City Resilience Simulator”

Building resilience as part of a new paradigm

Resilient city is seen as sustainable goal, for social and institutional gain

Trying to develop measures of resilience, covariant with large urban environments

Quantifying the concept of resilience

  • Single number
  • Performance of a system over time, through a multidimensional space of performance measures
  • Could be a generic way of looking at different ideas

Definition of resilience (as per engineering)

  • Ability to reduced the chance of shock, to absorb shock if it occurs and to recover quickly after a shock
  • May or may not recover to prior state

Graph: vertical axis as quality of infrastructure, or quality of living

  • Horizontal axis: time
  • Resilience is area under curve, the time to recover to initial stable state

Trying to map time and space

Impacts: non-climatic or climatic

  • Vulnerability and exposure

Adaptive capacity

Now working on research with coastal cities: Vancouver, Lagos

  • Have developed generic simulator

[questions]

New centre for Resilient Infrastructure at U. of Toronto

[jump to top]

Chris Kennedy, University of Toronto “Mathematical Model of Urban Metabolism”

One slide, may be through in 5 minutes

Bottom up development

Metabolism at water flows, material flows, energy

A lot of studies published

  • Any city that has done a greenhouse gas study has the data

Moving to new level of research

  • An accounting framework of flows inside and outside of city

Published as book, not subject to peer review

Breaking down components:

  • Heating fuels relate to breathing
  • In U.S., some relationship with July temperatures

Research learning about metabolism and greenhouse gases

Have Canadian municipalities with data about how they’ll be dealing with greenhouse gases

Published “The Evolution of Great World Cities: Urban Wealth and Economic Growth” published in 2011

Mathematical model is driven by urban infrastructure, e.g. square footage of buildings, roads

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David Ing – Service Systems, Natural Systems

See profile at http://en.wikipedia.org/wiki/David_Ing , blog at http://coevolving.com/blogs/, microblog at http://twitter.com/daviding

See slides at http://coevolving.com/commons/20121011-citysciences-ing-service-systems-natural-systems .

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Andre Sorensen and Paul Hess (University of Toronto), “Urban Form Analysis: Toronto region evolution over 60 years”

Work on the Toronto region, based on census data

Census data is bad to looking for urban form

Have been creating a dataset based on parcels, that can be aggregated

  • 550 areas, based on pre-settlement farms and concession roads, as basic planning units for suburban development over the past 60 years

Halton, Peel, York, Durham, Toronto — have become a single urban centre

Divided up into study areas, can see by date for housing stock, making a typology of different areas in the region: housing density, plot size, socioeconomic status

Institutions, planning institutions that govern, evolving over 60 year period

  • Different rulesets from different approaches over different jurisdictions
  • Output of urban form has been consistent
  • Robust in creating an urban form, with an inflection in the 1990s smarter growth, denser grids

Over summer, coded all of the housing stock as semi-detached, townhouses, etc.

Have data from 2010, won’t have the same long form data in 2011

[Question]

Condos?

  • Don’t have ownership data, so have apartment buildings

[jump to top]

Seanna Davidson, University of Waterloo, “Building Social Innovation Tools at the Waterloo Institute for Innovation and Resilience”

See profile at http://sig.uwaterloo.ca/profile/sdavidson and microblog at http://twitter.com/seannalee

Systems Mapping Tool being developed by Dan McCarthy

  • How to map systems in a way so that we can have a dialogue
  • Questions to work through with a group
  • Understanding landscape boundaries
  • Context, what’s included and not
  • Easy to scale up, not necessarily breaking down into smaller pieces
  • What is the current system that we’re working with?
  • Feedback with institutions
  • Alternatives
  • Working towards a transformative pathway

Social Innovation Lab

  • Towards the end of process
  • Design labs and change labs have been popular, how is a social innovation lab different?
  • Design labs: emphasize on quality of ideas, incorporating different perspectives
  • Change labs: collaboration, shared understanding between participants, towards shared action
  • Social innovation lab: emphasize development of solutions, more attention on integration into systems
  • Have been working with other partners, e.g. Helsinki Design Lab, Mindlab, Institute without Boundaries, Stanford Design for Change, to figure out how Social Innovation Lab is different
  • Process: design brief, types of research necessary skills, at what stages
  • Struuture: where they should happen, how they’re funded, how projects are generated, how they are rolled out
  • Design principles: social innovation model of systems with cross-scale and cross-sector perspectives; using ethnographic research methods, to create the design brief; including intensive workshops that bring in emotions; customized model to test sensitivities to ideas

Research to date is on web site

  • Social Innovation Generation: a community of practice on how things happen

[Questions]

Helsinki Design Lab different as funded by government, as compared to organization funded by foundations

  • Not trying to replicate, want to learn from expertise of colleagues of what has worked and hasn’t worked

[jump to top]

Marc-Paul Gauthier, Arup, “IMSEP Integrated Mode Share Estimation Platform for Sites and Station Areas”

Part of some internal research at Arup

Want to understand transit mode share

  • Could do case study analyses, areas like what we have, e.g. region with 10%, 30% ridership
  • Problem: don’t know what’s interactive
  • Other side, could build regional models, based on transportation modes like roads and rails
  • Would like to have something between case study analyses and regional models

Look not just at travel time and mode shares, but how the area operates

  • 3D: Density, diversity, design

Created an ESRI ArcMap plugin using Python (didn’t want to rebuild everything, relies on GIS)

Research had coefficients, e.g. density of street networks, distance between stops

  • In Toronto, generated transit ridership by station
  • Block sizes –> station boarding

IMSEP case study, Scarborough Town Centre

  • Mapped, and then started making changes, adding residential blocks that weren’t there before
  • Impacts density, land use mix, leading to different transit station boarding
  • Result would look like City Engine output demoed earlier

Next steps: Would like develop coefficients for Toronto, like those done for Seoul

[jump to top]

David Ing (for Roy Wiseman and Jim Amsden) “The Municipal Reference Model: Government by Design”

See slides at http://coevolving.com/commons/20121011-the-municipal-reference-model-government-by-design .

[jump to top]

Michael van der Laan, University of British Columbia, “Web Application of Urban Form and Land Use Cases”

In BC, all communities collect energy consumption and emissions data

  • Now to run for future development

Develop methods of “measured visualization”: what resonates with citizens?

Venue is engagement with city planners, professionals, stakeholders

Elevate consideration of sustainability

Have tool on web site where people can play with insulation values, seeing different quantitative data in cases

  • Cases like a building information model, but maybe not so complicated
  • Can then aggregate data into combinations and arrangements to simulate alternatives

Learning how to improve measured visualization tools, test potential of user created content

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