smart city strategy: platform, data, people
TRANSCRIPT
Smart City Strategy:
Platform, Data, People
Jin-Hyeok Yang｜Smart Cities Project Manager
18 August 2016
Hwaseong Dongtan, Korea’s First Smart City In-operation
40km South from Seoul
9.04k㎡ area
120,692 population
39,827 households
Project Period : 2006 - 2008
Budget : MYR 162M
Hwaseong Dongtan Smart City Components
Safety Traffic
Media Environment
Fiber-optic
MSPP
Integrated
Operation Centre
Benefit-Cost Ratio Analysis (from 2008 to 2018)
Benefits
MYR 374.6M
Costs
MYR
238.5M
Benefit/Cost Ratio of
1.57
Source: Ministry of Land, Transport and Maritime (MLTM)’s U-City Development Status, MLTM, 2010
Challenges
Finance
Services
Changes
Finance
Budget
Finance
Business Model
Services Citizen-centric
Source: Dongtan U-City Public Services Satisfaction Survey, Jong-soo Lee, 2009, 238 samples of 20s-60s Dongtan residents
Did you know if Dongtan
is a smart city?
No
44%
Services
Differentiated
Changes
Long-term Projects
Changes
Resist to Change
Lessons Learned
Central & Local gov : citizen 참여 유도 from early stage, promotion
Promote private participation and investment
Establish better regulation
Improve evaluation capability
Project Team
Involve every stakeholder from beginning
Control change, manage change
Take a deep dive
Service provider: 서비스 백화점 나열 지양, deep dive 해서 실제 그 지역에 필요한 것, 특화된 것 발굴 필수
나도 다른 프로젝트에서 이런 함정에 빠졌었다.
Find out a killer service
기술적인 측면 외 도시 마케팅을 위한 킬러 서비스를 찾아내는 것이 중요하다.
Legal issue 잘 챙겨야 한다.
롱텀 프로젝트이다 보니, 기술적인 면에서 change control 이 필수. 설계서 재검토 등 R&R, cost 산정 필수
Citizen : 관심갖고 적극 참여 필요
Central &
Local
Government
Project Team
Promote private participation and investment
Establish better regulation
Improve evaluation capability
Involve every stakeholder from beginning
Control change, manage change
Take a deep dive
Looking for New Strategies
Platform
People Data
Platform
KT’s Smart City & IoT Platform
IoT Makers http://iotmakers.olleh.com
Air quality
sensor Water
metering
Electricity Fire
detection
IP
Camera
Gas
metering Vehicle Mobile
factory Cart People
Delivery
Building
Health care
……
Home Energy Metering Smart City Building Security
References
Hwaseong Dongtan Smart City IOC (2008)
Paju Smart City IOC (2015)
Smart City
Operation
* IOC : Integrated Operation Center **MEG : Micro Energy Grid
KT-MEG Operation Centre (2015)
kt Building Operation Centre (2010)
Integrated
Building
Operation
Big Data
Seoul’s Night Bus Route Decision Making
Big Data
1유동인구 밀집도 분석: 일단 서울시를 1km 반경의 1,250개 헥사셀 단위로 구분한다. 그리고 한달치 KT 휴대전화 이력 데이터로 심야시간(0시~5시) 통화량 분석을 해서 구역별 유동인구 밀집도를 분석하고 이를 헥사셀 단위로 시각화한다.
2유동인구 기반 노선 최적화: 기존 노선의 시간/요일별 패턴을 분석하고, 노선 부근의 유동인구
통계로 가중치를 계산하여, 노선을 최적화한다.
3유동인구 기반 배차간격 조정: 정류장 단위로 통행량을 추정하고, 통행량을 선의 굵기로 표현하여 헥사셀로 구분된 맵에 시각화함으로써 최종적으로 요일별 배차 간격 조정을 결정한다.
Foot traffic density analysis
based on KT mobile call data
Bus interval configuration
based on foot traffic
Route optimisation
based on foot traffic
Open Data
Available Seats: 45
Available Seats: 35
Smart Parcel Tracker Kweather Parking for All
People
People Public Private
Citizens as Sensors : Community Mapping
Flood Community Map
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Citizen Engagement: Bukchon IoT Living Lab
Citizen Engagement: Bukchon IoT Living Lab
“Think Big, Start Small, Scale Fast”
Eric Ries,
Author of the NY Times bestseller
“The Lean Startup”
