The Transformational Potential of Smart Cities & Society - Santa Fe Institute
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The Transformational Potential of Smart Cities & Society Charlie Catlett Senior Computer Scientist University of Chicago and Argonne National Laboratory Collaborators: Pete Beckman (ANL/NU) Global Sustainability Summer School Rajesh Sankaran (ANL) Santa Fe Institute Mike Papka (ANL/NIU) July 2019 Kathleen Cagney (UC) Mark Potosnak (DePaul) Doug Pancoast (SAIC) Dan Work (Vanderbilt) Global Sustainability Summer School July 2019 catlett @ anl . gov
Argonne computer scientist Jean F. Hall with AVIDAC, Argonne's first digital computer. Built by the Physics Division for $250k, AVIDAC began operation in January 1953.
Outline • What is a Sustainable City? • Low-Cost Sensors to Increase Spatial and Temporal Resolution • Using Data to Improve Service Equity and Efficacy (and to anticipate needs) • Software-Defined Sensors: Digital Observations and Adaptive • Why a New Measurement Approach? Measurements • The “Array of Things” Project • Exploring Solution (and Risk) Space with Coupled Computational Models Global Sustainability Summer School July 2019
“There’s a lot of different interpretations of what a smart city is. My view is using data to be more interactive, focused and tailored to the resident than we are today.” “I want to make sure that as we make these changes in mobile technology on 311 or our streetlights, that all communities feel like this is part of helping them, so they feel a part of the city. You have to make sure that the mission of inclusion is always being met.” Many of London’s advances in the Rahm Emanuel application of data and smart technologies (Chicago Mayor, 2011-2019) are globally recognised. We have clearly taken great steps, but I want us to do even more to meet the needs of Londoners.” Global Sustainability Summer School July 2019 Sadiq Khan (London Mayor)
So what makes a city “Sustainable?” Leadership & Health & Well Strategy Being It plans for the future, It shares and fosters human navigating change. aspirations to live healthy and vibrant lives. R100/ARUP It understands that strong It provides critical services City Resilience communities, economic reliably, preserving and Framework opportunity, and equity are enhancing the environment. foundational. Infrastructure & Economy & Environment Society The City Resilience Framework was developed by ARUP with support Global Sustainability Summer School July 2019 from the Rockefeller 100 Resilient Cities Program.
Cities: different Neighborhoods, different life experience 81-83 yrs Under 9% Over 20% 66-71 yrs Life expectancy Asthma Access to services Access to healthy food https://www.chicagohealthatlas.org/ http://www.mentalmunition.com/201 “Food Deserts in Chicago, A Report of 1/09/south-side-children-have- the Illinois Advisory Committee to the greatest.html United States Commission on Civil Rights. 2011 Global Sustainability Summer School July 2019
Planning for the Future Percentage change in average annual temperature by 2100 from 1960-1990 baseline climate, averaged over 21 CMIP3 models. The size of each pixel represents the level of agreement between models on the magnitude of the change. [1] http://edgeeffects.net/judith-helfand-cooked/ [1] Gosling, S.N., Dunn, R., Carrol, F., Christidis, N., Fullwood, J., Gusmao, D.D., Golding, N., Global Sustainability Summer School Good, L., Hall, T., Kendon, L. and Kennedy, J., 2011. Climate: Observations, projections and July 2019 impacts. Climate: Observations, projections and impacts.
What’s a Couple of ℃ Matter? Temperature vs. Energy (Shanghai 2003-2007) [1] Global Sustainability Summer School [1] H. Yi-Ling et al, Influences of Urban Temperature on the Electricity Consumption of July 2019 Shanghai, Advances in Climate Change Research, Vol. 5, Issue 2, 2014.
Climate Change and Water Projected change in precipitation: 1950–2000 to 2021–2040: Projected change in precipitation for the 2021–2040 period minus the average over 1950–2000 as a percent- age of the 1950–2000 precipitation. Results are averaged over simulations with nineteen Water Security different climate models. Source: Figure by Gabriel Vecchi, Geophysical Fluid Dynamics Laboratory, National Oceanic and Atmospheric Administration. [4] Present Adjusted Human Water Security Threat (HWS) for Mexico, calculated following the method described by Vörösmarty et al. (2010). [3] Change in Rainfall [3] Gosling, S.N., Dunn, R., Carrol, F., Christidis, N., Fullwood, J., Gusmao, D.D., Golding, N., Good, L., Hall, T., Kendon, L. and Kennedy, J., 2011. Climate: Observations, projections and impacts. Climate: Observations, projections and impacts. [4] Wilder, M., Scott, C.A., Pablos, N.P., Varady, R.G., Garfin, G.M. and McEvoy, J., 2010. Adapting across boundaries: climate change, social learning, and resilience in the US–Mexico border region. Annals of the Association of American Geographers, 100(4), pp.917-928.
Interdependence of Water and Energy >1km elevation 60-154 km distance The amount of electricity used to pump the total volume of water from the Cutzamala system to the treatment plant located to the west of the city of Toluca is equivalent to the amount of energy Figure 2: The mega-basin of Mexico City. [5] Source: Adapted consumed by the city of Puebla, which is from AEGR (2004), GIS services. inhabited by about 1.5 million people [5,6]. [5] Romero Lankao, P., 2010. Water in Mexico City: what will climate change bring to its history of water-related hazards and vulnerabilities?. Environment and Urbanization, 22(1), pp.157-178. [5] UNDP, 2006, “Who has access to water? Case study of Mexico City Metropolitan Area”, thematicGlobal paper for Human Development Sustainability Summer Report. School July 2019
Using Data to Improve Service Equity and Efficacy and to Anticipate Needs Global Sustainability Summer School July 2019
How Does Heat Impact Health? Temperature vs. Mortality (East China 2003-2007) [1] Global Sustainability Summer School [1] H. Yi-Ling et al, Influences of Urban Temperature on the Electricity Consumption of July 2019 Shanghai, Advances in Climate Change Research, Vol. 5, Issue 2, 2014.
Heat Spatial analysis of the effect of the 2010 heat wave on stroke mortality in Nanjing, China Contour lines show the areas with significantly increased or decreased adjusted odds ratio (p-value < 0.05). Spatial analysis of the effect of the 2010 heat wave on stroke mortality in Nanjing, China Global Sustainability Summer School Kai Chen, Lei Huang, Lian Zhou, Zongwei Ma, Jun Bi & Tiantian Li, Nature, July 2019 Scientific Reports volume 5, Article number: 10816 (2015)
API to integrate with electronic medical Health and Housing record clinical decision tools 2012 Lead poisoning cases. Which of the thousands of homes should the city inspect (and remediate) within any given high- danger area? Global Sustainability Summer School E. Potash, R. Ghani, R. Mansour, et. al., ”Predictive Modeling for Public Health: Preventing July 2019 Childhood Lead Poisoning," ACM KDD’15, August 2015, Sydney, Australia.
Predictive Analytics for Public Good: Inspection Optimization (perfect) (ordered by risk) (random order) (avg improvement: 7.4d) Chicago Food Safety Inspection A predictive modelling tool, Firecast, analyses up to 7,500 risk Optimization factors to calculate a risk score for each of the 330,000 buildings the New York Fire Department inspects. Factors include previous fire, injuries, the number of buildings close by, where in the city it is, as well as any tax or health violations. Chicago’s food safety analytics tools are now in use in a half dozen other cities as well. Global Sustainability Summer School Tom Schenk, City of Chicago; Sven Leyffer, Prasanna Balaprakash, et. al.; Argonne MCS July 2019
Why a New Measurement Approach? Using Sensors to Measure Local (vs. Regional) Conditions and Dynamics Global Sustainability Summer School July 2019
What do scientists and policymakers want to measure/diagnose? SENSORS OBSERVATIONS Environment Air Quality Activity • Solar load on buildings • Asthma rates • Flooding • Traffic safety • Traffic impact on AQ • Traffic flow & safety • Idling trucks • Industrial air pollutants • Pedestrian flow & safety • Construction effects • Fossil fuel emissions • Use patterns of public • Noise pollution/sources • Hydrogen sulfide spaces • Urban heat island • Fuel leaks • Sources of noise • Mold exposure • Flammable hazards pollution & noise events Global Sustainability Summer School 2018 Array of Things Student and User Workshop July 2019
Temporal Dynamics of Air Quality... And its impacts Air quality varies rapidly in time and sharply between neighborhoods. Models are used to predict, but these require data for calibration and validation. Students who move from an elementary/middle school that feeds into a “downwind” middle/high school in the same zip code experience decreases in test scores, more behavioral incidents, and more absences, relative to when they transition to an upwind school. Even within zip codes, microclimates can contribute to inequality.” Global Sustainability Summer School July 2019
EPA Criteria Pollutants The Clean Air Act requires EPA to set National Ambient Air Quality Standards (NAAQS) for six common air pollutants (known as “criteria air pollutants”). These pollutants are found all over the U.S. They can harm your health and the environment, and cause property damage. https://www.epa.gov/criteria-air-pollutants Global Sustainability Summer School July 2019
Example: Health. What Data do we have for Air Quality? Purple Air Weather Underground EPA Under 9% Over 20% Asthma Despite many sensor networks, even weather (much less air Global Sustainability Summer School quality) data is absent from the most vulnerable neighborhoods. July 2019
Location-Aware Sensing System (LASS) Chen, Ling-Jyh, et al. "An open framework for participatory PM2. 5 monitoring in smart cities." IEEE Access 5 (2017): 14441- 14454. Global Sustainability Summer School July 2019
Sounds of New York (SONYC) Urbane Bello, Juan Pablo, Claudio Silva, Oded Nov, R. Luke DuBois, Anish Arora, Justin Salamon, Charles Mydlarz, and Harish Doraiswamy. "SONYC: A system for the monitoring, analysis and mitigation of urban noise pollution." arXiv preprint arXiv:1805.00889 (2018). Global Sustainability Summer School July 2019
The “Array of Things” Project Global Sustainability Summer School July 2019
The “Array an Why Measure of Entire Things”City? …to calibrate and validate computational models… …to discover and eventually understand interdependencies… …to provide open / free data to catalyze innovation… …to enable everyone from students to politicians to better understand their city …to provide a platform to explore new technologies and solutions. Global Sustainability Summer School July 2019
Science Nicola Ferrier (UChicago/ANL) Dan Work (Vanderbilt) Marc Berman (UChicago) Kate Cagney (UChicago) David Liebovitz (UChicago) Aaron Packman (Northwestern) Vivien Rivera (Northwestern) Global Sustainability Summer School Ashish Sharma (U Illinois) July 2019
Array of Things Environment Air Quality Ambient, UV, IR light PM 1, 2.5, 10, 40 Visibility Carbon monoxide Magnetic Field Ozone Vibration Sulfur dioxide Sound pressure Nitrogen dioxide Temperature Hydrogen sulfide Relative humidity Total reducing gases Barometric pressure Total oxidizing gases Edge Computing Computer Vision: Flooding, traffic flow, safety (bike helmet use, pedestrian patterns…), use patterns of public spaces, cloud cover Computer Audio: Noise components, sound events The “Array of Things” (AoT) is an NSF-funded Global Sustainability Summer Major Research School project in partnership with the City of Instrumentation Chicago, led by the University of Chicago July 2019 and Argonne National Laboratory.
Chicago AoT Deployment Global Sustainability Summer School July 2019 A R G O N N E N A T I O N A L L A B O R A T O R Y
j c k c AoT in Chicago c c i c p j c k g g gg g jj g g g gg c N gg g 2 i k t b c 2 2 2 c c Existing (April 2018) e p In progress (May 2019) c s i e e e e e e e f c f c i e e s s h e i e Lake Michigan c s s i i h i e s j s j j k p p k k h c t k c k i b b c 2 2 2 i i c d i b 2 i i h t h h t t t t i t b t t i k b j d i h c t d d d p b b j a a d h d j t h h b c d d u b b R R p u k i k k k p c h m i k h k m m m j i h k k t c k i i i i h k h t t k p h t j i h h h h h h h k Global Sustainability Summer School h Chicago k July 2019
AoT Supports Many Projects j (a) Ravenswood Theater. Measuring pedestrian flow and use of public spaces with community events aimed at t t h h i c addressing racism. t t k (b) Chicago North Branch Framework nodes measure the environment and traffic to understand the impact of b t h g a i redistricting and new development. i k a i k c c c (c) North-South lakefront and East-West transects support studying the “lake effect” on weather and air quality as well as h i c j jj gg g g g gg g g i up u p gg c c urban land use impact on regional weather. k h t p p 2 g (d) Lower West Side (Pilsen, McKinley Park, Little Village) has many known air pollutant sources. These nodes aim to h p 2 t b b b test node density and placement strategies. h 2 2 b b p (e) Chatham is one of Chicago’s most flood-prone neighborhoods. Scientists at Argonne, Northwestern, and UChicago p b b t b b h k are developing flood detection capabilities using AoT image analysis and wireless moisture sensors. h t m m b j c c (f) Measuring traffic changes resulting from the creation of the Pullman National Monument. h j t c i c c c t c i t (g) Testing new methods to measure pedestrian and vehicle flow and related impacts (noise, congestion, air t t 2 2 22 k t pollutants, etc.) in the Chicago Loop and along the River Walk. h d d d c (h) Measuring air quality and noise in neighborhoods of the hundreds of participants in the UChicago Population mm d dd Research Center’s study on poverty, aging, and health. i k i d t ss s c j ss s (i) Several dozen locations were requested by individual residents and community groups. d d k k s j i (j) City of Chicago Fleets & Facilities Management seeks to understand pedestrian flow and impacts on the River Walk k c and near public buildings. h k t j i j (k) Many groups seek data to understand urban environmental impacts on health, including studies by the Chicago k h i i t Department of Public Health, UChicago COMPASS health project, and the UChicago/UIC NIH-funded Chicago Center h k i i i i i i i h for Health and Environment (CACHET). k k t i c k (m) City of Chicago Department of Planning & Development is interested in understanding traffic patterns and related impacts. h t k i e e e e k i (r) The Illinois Department of Transportation and Chicago Metropolitan Agency for Planning require rail crossing delay k e e eeee c e j data to prioritize investments in transportation infrastructure. h e e t h (s) The Bronzeville Community Smart Grid (IIT, ComEd) will leverage Exelon’s partnership with Argonne to investigate AI- h k i c h based energy optimization and failure prediction. h (t) Chicago’s Vision Zero program comprises 10 agencies and departments seeking to eliminate traffic-related fatalities j k Rh R h h h f k by 2022. Nodes are installed at 30 of the city’s most dangerous intersections and corridors. Additional nodes along f Ashland avenue aim to measure the impact of rapid future bus transit systems. c (u) Chicago Public Schools (Lane Technical H.S.) have worked with the AoT team to train over 400 students to develop k sensor-based science projects. Though Chicago plans hundreds of nodes, each individual science or policy project typically only Global Sustainability Summer School requires 6-12 nodes. All locations are selected based on specific science or policy questions, July 2019 including locations requested by community groups and individual residents.
Third Party Devices and Array of Things Data Download: Portals: Air Quality Scientific Analysis Data Sensors Discovery Cellular Data Network Open / . Free Data . . Tools and Real-Time Access: Tutorials New Applications Relay Server Data from student projects or other initiatives using third party devices such as Particle.io web-connected Particle Photon/Electron microcontrollers can be imported to AoT Beehive servers and analyzed alongside AoT data using all of the tools, Particle Cloud tutorials, and applications developed for AoT. Global Sustainability Summer School July 2019
Thinking Further • What urban services might cities consider optimizing, provided they have the data, relative to sustainability? • We find that university-city partnerships are very powerful, but difficult to sustain. What might be strategies for capturing long-term value from such projects? Even Chicago’s use of open source and participation in city-to-city collaborative networks, though helpful, have been dependent on specific individuals rather than being systemic. Global Sustainability Summer School July 2019
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