Юрій Паращак. Creating a Smarter City from Dumb Data

Smart Ci)es from Dumb Data

Dr. Jurij ParaszczakFormer Dis3nguished Service Professor Carnegie

Mellon UniversityEmeritus Director IBM Research Smarter Ci3es

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1Wednesday, April 15, 15

First -‐ a Thank You !

• In March, over 60 of us worked on Smart Ci)es in Lviv. Thank you Lviv and Thank You Lviv Business School

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A City• A large and “permanent” human SeIlement• Provides services in return for social interac3on that generates

many different results for its denizens• One of the most complex organisms I know of comprising living

forms and inanimate infrastructure that interact on a daily basis– Complexity at many layers of granularity -‐ from viruses to airports

• The “rules and models” of interac1on are varied and not well characterized– But are oQen manipulated

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ÇatalhöyükVery large Neolithic and Chalcolithic proto-‐city seNlement in southern Anatolia, which existed from approximately 7500 BC to 5700 BC, and flourished around 7000BC

ShanghaiWorld’s largest city by metro popula)on. ~ 24M.

Kolkata is world’s densest populated city with ~4.5M inhabitants


Maslow’s Needs – for a city

Jobs, Economy, City water, energy,

buildings & transport etc.

QoLComfort Lifestyle

Safety and Security

Transportation, Water. Energy, Buildings,

Planning, Social and Physical Health.. etc

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Gather insights from citizens’ desires and drive their behavior through motivation & communication

COMMUNICATE. ANALYZE & RESPOND

Spa)o-‐temporal analysisof state, predicted behavior, and approach to repair replace, renew

infrastructure

Orderly management of work and resources

FIX REPAIR RENEW BUILD

An Analy3c View of a CityAvailability and cost of resources accurately mapped to predicted

demand

Optimization of supply across entire value chain

MATCH DEMAND & SUPPLYAsset Management

Buildings, Roads, Wires, Pipes etc,

Resource Optimization

Energy, Water, Traffic etc.

Citizen Mediated Interaction

Desire, motivation

System of Systems

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Layers of City Informa3on

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A Smart City• The city gathers data about its opera3ons, planning and spending and makes them available

• The processes that engage ci3zens are clear, transparent and convenient– E.g. online licenses, permits, passports

• Singapore 4 hrs for building permit, NYC up to 3 years

• The data from opera3ons is used to predict outcomes in planning and opera3ons– City can say “What If …” and know the answer

• In a smart city the quality of life is excellent

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The evolu3on to Smart City

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Ci3es start with a plan.

The plan has many

disconnected aspects

Ci3es gather data and make it

transparent and available.

They improve their business processes -‐ permits, licenses,

payments

Ci3es integrate their business processes with

data that explains how services and infrastructure

work.They gather paIerns

Ci3es use the paIerns to

predict how all their systems interact. They now can ask

“What if “ and get an answer

Stage 1 Stage 2 Stage 3 Stage 4


ІТ та бізнес-‐послуги Stage 1І

Цільовий результат Прогрес Наступні кроки

1. Конференція Львів ІТ Арена(С. Веселовський)

• Розпочато підготовку до конференції• Стартувала промоція заходу, запущено

сайт• Розпочалася робота з залучення

партнерів, спонсорів та доповідачів

• Старт продажу квитків на конференцію

2. Проект “Житло для ІТ”(С. Веселовський)

• Зареєстровано ЖБК (житлово-‐будівельний кооператив)

• Підтримано Ухвалу про погодження місця розташування та надання дозволу на розробку проектної документації землеустрою

• Підготовка Ухвали про затвердження проекту землеустрою щодо відведення земельної ділянки

3. Промоційні проекти (С. Веселовський)

• Погоджено проект промоції ІТ-‐фаху в школах з ЛМР

• Домовлено зі школами проведення презентацій

• Провести презентації ІТ фаху на батьківських зборах

• Lviv IT Roadshow -‐ провести презентації в 2 містах Західної України

4. Львівський центр інновацій «Startup Depot»(М. Лисак)

• Проведення косметичного ремонту та обладнання приміщення бізнес-‐інкубатора

• Старт роботи бізнес-‐інкубатора• Проведено три зустрічі-‐майстер-‐класи

• Провести конкурс ІТ-‐проектів Lviv Deal Generator

• Проведення серії подій та майстер-‐класів для стартап-‐спільноти Львова

Статус реалізації ініціатив щодо питань ІТ та бізнес-‐послуг

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Бачення ІМ Stage 1.5

Об’єднання зусиль мешканців, влади та бізнесу Львова для вирішення ключових питань стратегічного розвитку міста.

ВІЗІЯ

МІСІЯ

Інститут міста – авторитетний

аналітичний центр.

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2 3 4

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Інститут міста – це координаційний центр вирішення ключових

питань міста.

Завдяки Інституту міста рівень стратегічного планування Львова -‐ найвищий в Україні.

Інститут міста – беззаперечний лідер по кількості успішно

реалізованих проектів.

В Інституті міста працює професійна команда

однодумців.

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Системи проекту :

1. Системи е-‐управління

2. Система електронного документообігу

3. Центр адміністративних послуг «Прозорий офіс»

4. Інформаційно-‐обчислювальний центр комунальних послуг

5. Офіційний сайт виконавчого органу влади

6. Диспетчерська служба «Цілодобова варта»

7. Геоінформаційна система міста (ГІС)

8. АСУП ЖКГ

9. Далі буде…

ПРОЕКТ «е-‐Місто» STAGE 2

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Some interesting videos related to IBM Research work in Smarter Cities - Stage 3

DC Water Authority - could anyone explain analytics better ?

The technology behind the anti-terrorism center in NY

City in Motion and Dubuque - engaging people

A comment on Smarter Cities


http://www.youtube.com/watch?v=xFEIO1SczNk&feature=related

http://www.youtube.com/watch?v=xFEIO1SczNk&feature=related

http://www.youtube.com/watch?v=Nf_PzCfpPug

http://www.youtube.com/watch?v=Nf_PzCfpPug

http://www.youtube.com/watch?v=KEpVJscv7qE

http://www.youtube.com/watch?v=KEpVJscv7qE

http://www.youtube.com/watch?v=mBSVITlkiBw

http://www.youtube.com/watch?v=mBSVITlkiBw

http://www.youtube.com/watch?v=InVLiEM1rEY

http://www.youtube.com/watch?v=InVLiEM1rEY

PALM -‐ Planning Analy)cs Lifecycle Management STAGE 3

Client City of Cambridge, Ontario, Canada

Challenge Maximizing the life of city assets (road, water, bike paths, ponds, sewers etc) across agencies for a fixed $ spend while reducing the backlog of work and keeping the average remaining age constant

Solu3on An innova3ve approach to cross agency planning bringing together the concept of total lifecycle management of city infrastructure using descrip3ve, predic3ve and prescrip3ve analy3cs. PALM leverages three pillars:» Asset Performance Analysis – Quan3ta3ve analysis of current condi3on &

performance scorecard» Strategic Needs Assessment -‐ Iden3fy short (1-‐5 years) and long (10 – 100

year) term needs planning» Investment Planning -‐ Perform comprehensive planning using opera3on

and capital management

Benefits End-‐to-‐end management of asset performance and investment planning

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Work led by Arun Hampapur, IBM Research


Capital Planning Concepts

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Other Systems

Road SystemDrainage SystemWater System

Sanitary System

Inventory of Assets

Current & Future Needs

Funding Requirements

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Other Systems


Sanitary System

Inventory of Assets



2016… Avail Funding2015 Avail Funding2014 Avail Funding2013 Avail Funding

Taxaton

WaterRates

SewerRates

DevelopmentCharges

Storm Utlity

Gas Tax

One-‐TimeGrants

OtherGrants & Loans

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Other Systems


Sanitary System

Inventory of Assets




Taxaton

WaterRates

SewerRates

DevelopmentCharges

Storm Utlity

Gas Tax

One-‐TimeGrants

OtherGrants & Loans

2018… Projects2017 Projects2016 Projects2015 Projects2014 Projects2013 Projects

Reconstruc3onRenewalUpgrades

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Other Systems


Sanitary System

Inventory of Assets




Taxaton

WaterRates

SewerRates

DevelopmentCharges

Storm Utlity

Gas Tax

One-‐TimeGrants

OtherGrants & Loans

2018… Projects2017 Projects2016 Projects2015 Projects2014 Projects2013 Projects

Reconstruc3onRenewalUpgrades

External Driven Needs Politcally Driven Needs Driven Need Legislatvely s 14


Integrated Capital Planning


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Public Complaints

Condi)onAssessments

OMI Logs

Master Plans

Official PlanIncluding growth


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OtherOpera)onal Needs

Road Needs

Sewer SystemNeeds

Water SystemNeeds

Drainage Needs

Public Complaints

Condi)onAssessments

OMI Logs

Master Plans



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Road Needs

Sewer SystemNeeds

Water SystemNeeds

Drainage Needs

Public Complaints

Condi)onAssessments

OMI Logs

Master Plans


RegionalCapital

Project Plans

U)lityCapitalPlans

Legisla)on DevelopmentNeedsWork led by Arun Hampapur, IBM

Research 15




Road Needs

Sewer SystemNeeds

Water SystemNeeds

Drainage Needs

Public Complaints

Condi)onAssessments

OMI Logs

Master Plans


Integrated NeedsAnalysis

RegionalCapital

Project Plans

U)lityCapitalPlans

Legisla)on DevelopmentNeedsWork led by Arun Hampapur, IBM

Research 15




Road Needs

Sewer SystemNeeds

Water SystemNeeds

Drainage Needs

Public Complaints

Condi)onAssessments

OMI Logs

Master Plans



RegionalCapital

Project Plans

U)lityCapitalPlans

Legisla)on DevelopmentNeeds

OtherFunding


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Road Needs

Sewer SystemNeeds

Water SystemNeeds

Drainage Needs

Public Complaints

Condi)onAssessments

OMI Logs

Master Plans



RegionalCapital

Project Plans

U)lityCapitalPlans


OtherFunding

Op)malIntegrated Capital

Program


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Road Needs

Sewer SystemNeeds

Water SystemNeeds

Drainage Needs

Public Complaints

Condi)onAssessments

OMI Logs

Master Plans



RegionalCapital

Project Plans

U)lityCapitalPlans


OtherFunding


Program

Deferred or Unfunded Projects


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Road Needs

Sewer SystemNeeds

Water SystemNeeds

Drainage Needs

Public Complaints

Condi)onAssessments

OMI Logs

Master Plans



RegionalCapital

Project Plans

U)lityCapitalPlans


OtherFunding

Sustainable Funding Needs vsCurrent Funding

Available


Program

Deferred or Unfunded Projects


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Work led by Arun Hampapur, IBM Research 16








What we learned

• The savings in )me, effort and results can be significant if the various groups involved in planning can find a way to share real data.

• This is one of the critcal issues in these urban systems which involve human comprehension and ac)on : There is rarely a single or clearly communicated vision and view of the problems that different par)es deal with.

• Providing tools which create a single view of the truth is vital to allow the various par)es engage in a clear and reasoned approach to dealing in city planning.– Today most of that planning for city infrastructure is rudimentary

• This and opera)ons are 2 areas which have much low-‐hanging fruit

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Mul3ple Agency Interac3ng SystemsStage 4

• Cross Sec)on of a City

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Deep Thunder

Client Mul3ple including U3li3es and Ci3es

Challenge The atmosphere by it very nature, causes unpredictable impacts on business directly as a result of not preparing for weather/atmospheric condi3ons.

Solu3on Provide high resoluton weather forecast data feeds into a weather-‐sensitve business system, like Flood Predicton and Emergency Response, enabling those systems to be more detailed, accurate, effectve, and efficient.

Benefits Deep thunder forecasts are providing solu3ons that enable businesses to pre-‐deploy assets into specific areas of concerntrated damage saving lives, property, and minimuming reven impacts due to extended outages.

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Match the Scale of the Weather Model with the Client’s Needs

• Capture the geographic characteristcs that affect weather (horizontally, vertcally, temporally)

2km

2km

Central Park

Weather Staton

Usual Resolu3on

IBM Resolu3on

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Match the Scale of the Weather Model with the Client’s Needs

• Capture the geographic characteristcs that affect weather (horizontally, vertcally, temporally)

2km

2km

Central Park

Weather Staton

Usual Resolu3on

IBM Resolu3on

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Flood Prediction

ImpactEstimates

Refine Sensor Network and Model Calibration

ModelCalibration

Weather Prediction and/or Rainfall Measurements Analysis of Precipitation

Actual Flood Impacts

Approach to Urban Flood Forecasting

PrecipitationEstimates


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http://www.youtube.com/watch?v=0zArTvswVWs









How to make a really Dumb City from

• Get all departments to work on data acquisi3on using different systems

• Make them compete for funds

• Measure their leaders based on separate metrics

• Make poli3cal announcements for plans with no idea of their cost, effect on ci3zens or measurement of their impact

• Make sure that the central government, the oblasts and ci3es all have different systems and unrelated measurements

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The Future City• Ci3es will be manage their planning and opera3ons with a

high predictability of outcomes– Providing unheard of transparency– Knowing exactly how an ini3a3ve will affect all city denizens– Saving from 20-‐50% of current expenses– Connec3ng all of their denizens

• A new profession-‐ “City Data Professional” will emerge that will integrate data with planning and opera3ons to drive outcomes

• New businesses that contribute and use data from ci3es will grow to enable new economic and life opportuni3es

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Government & Nonprofit

Юрій Паращак. Creating a Smarter City from Dumb Data