1st OECD Roundtable on Smart Cities and Inclusive Growth

1. Jung Hoon LEE, Ph.D.
Project Manager, Global Smart City Index Development Project
Director of Information Sys. Intelligence Lab & Design Factory Korea
Professor of Technology & Innovation Management,
Graduate School of Information,
Yonsei University, Seoul, Republic of Korea
E-mail: jhoonlee@yonsei.ac.kr
Session II:
Do Investments in Smart Cities
ultimately deliver better well-being for
people? Who measures what, where and
how?
2019 Smart Cities Index Report:
Analysis of 20 Cities
9th July 2019
© 2019. ISi All rights reserved
1st OECD Roundtable on
Smart Cities & Inclusive Growth

2. Smart City Index Report Published Biannually,
8 Measurement Dimensions as : Service Innovation, Urban Innovativeness, Collaborative Partnership and etc.
Smart City Index
Performance Measurement Dimensions
© 2019. ISi All rights reserved
Smart Cities Performance Measurement Dimensions
Information System Intelligence Lab (ISi Lab) of the
Graduate School of Information, Yonsei University,
Republic of Korea was founded in 2004 and has been
carrying out research in various fields with the aim of
fostering the next generation of ICT innovation. Led by
Dr. Jung Hoon LEE, Professor of Technology &
Innovation Management, the lab focuses on smart city,
especially the IT-based service design and
implementation along with urban planning and
development. Since 2007 the lab has been involved in
various leading R&D projects sponsored by the South
Korean government, including developing a national
strategy and vision for smart city, analyzing and
designing smart city services and implementation with
the LG CNS, and developing Performance Management
Systems for smart city operations. The lab also carried
out the development of 5-year smart city master plan for
both Seoul Metropolitan City and Busan Metropolitan
City, South Korea’s two largest metropolises. In recent
years, the lab has been involved in several smart city
R&D projects such as Urban Regeneration (2014-2017),
Smart City R&D Project Phase II (2014-2018), and Open
IoT Platform-based Smart City Test-bed Development
Project (2015-2017) with South Korea’s largest mobile
carrier and Busan Metropolitan City. The lab has
contributed towards several consulting and advisory
services for ministries, government agencies and
private sectors including CISCO, GSMA, SKT, LG CNS and
UN ESCAP.
© 2017.ISi All rights reserved
This paper was supported by NIPA research funding
# 418 New Millennium Hall,
50 Yonsei-ro Seodaemun-gu,
Seoul, Reublic of Korea
[Contact]
+82) 2123-4529
jhoonlee@yonsei.ac.kr
Smart Cities Index Report 2017
Analysis of 10 Global Smart Cities
Smart City
Project
Smart City
Living Lab
Infra
Services
App/Web Services
386
993
249
169
Analysis of Global Smart Cities
386 Smart City Projects, 993 App-Web Services,
249 Infra based Services, 169 Smart City Living Lab
2019 Smart Cities Index Report
: Analysis of 20 Cities
*Source: 2019 Smart City Index Report, ISi Lab, Yonsei University
- 1 -

3. Based on analysis of 20 cities, most cities providing smart city services in
Transportation (33%) followed by Culture and Tourism (23%) , City Administration (8%)
Transportation
33%
Culture & Tourism
& Recreation
23%
City
Administ
ration
8%
Health
& Social 7%
Energy &
Environment
6%
Business
& Economy 4%
Education 4%
Residential Environment
3%
Public Safety
3%
Demographics 1%
Others
8%
App-Web
Service
Category
Amsterdam
BarcelonaChicago
Paris
Seoul
Singapore
Berlin
Dubai
London New York
San Francisco
Brussels
Lisbon
Copenhagen
Moscow
Vienna
Shanghai
Helsinki
Busan
No. of App-Web Services
ServiceCategoryDiversity
Dublin
10 Smart City Service Categories Smart City Service Demographic
SERVICE INNOVATION
Analysis of 993 App-Web Services
Cities with Service Demographic
Focused on Transportation (over 40%)
: Moscow, Dubai, Dublin, Brussels, Paris
Transportation 33%
BRUSSEL
LONDON SEOUL
DUBAI MOSCOW
SAN
FRANSISCO
© 2019. ISi All rights reserved
Comparing the number of Smart City Services and Service Category Coverage,
New York, Seoul, Singapore, London were Leading Smart Cities
in terms of Service Innovation.
- 2 -
*Source: 2019 Smart City Index Report, ISi Lab, Yonsei University

4. Average Level of Urban Intelligence 28%,
Cities Investing in Energy & Environment(35%), Transportation(26%) for Sustainability of the city
URBAN INTELLIGENCE
Analysis of 993 App-Web Services, 386 Smart City Projects, 249 Infra Based Services
New : 10%
Innovative : 1%
New : 63%
Innovative : 4%
New : 39%
Innovative : 5%
App-Web
Service
Infra. Based
Service
Project
Strong Use of
Innovative Technology
(AI / Blockchain)
3%
Use of
New Technology
(Big Data / IoT)
24%
No Use of
Emerging Technologies
73%
Implementation of Emerging Technologies
Providing smart service based on
innovative technologies as IoT, Big Data & AI
to solve diverse urban problems
Usage 24%,
Strong Usage 3% Others
8%
Transportation
26%
Energy
& Environment
35%
App-Web
Service
Projects
Infra.
Based
Service
Service Categories
Culture
& Tourism 5%
City
Administration
7%
Economy &
Employment 5%
Health & Social
5%
Residential
Environment 4%
Public Safety 4%
© 2019. ISi All rights reserved
- Leading Cities : New York, Seoul, Berlin, Amsterdam
- Categories : Energy & Environment (35%), Transportation(26%)
Average Level of
Urban Intelligence 28%
- 3 -
*Source: 2019 Smart City Index Report, ISi Lab, Yonsei University

5. Urban openness can be defined as
: Creating Open Innovation Environment by empowering citizen with Open data / ICT Technologies
URBAN OPENNESS
Open Data & Citizen Participation
0
50
100
150
200
250
300
350
0
500
1000
1500
2000
2500
3000
3500
Transportation
Culture
&
Tourism
City
Adm
inisterationH
ealth
&
Social
Energy
&
Environm
ent
Business
&
Econom
y
Education
ResidentialEnvironm
entPublic
SafetyD
em
ographics
O
thers
Open Data
APP-Web Service
Open Data Categories & Service Categories
Need to monitor the quality of open data,
to foster future development of smart city services
Empowerment of Citizen
© 2019. ISi All rights reserved
With the development of ICT Technologies,
the role of the citizens continue to change.
(Ex. Smart Citizen Kit - Data Collector)
Bottom-up citizen engagement is encouraged,
design thinking toolkits are developed / adopted.
From Participation to Co-Creation
Participation
Process
(Projects)
Citizen
Participation
(App-Web)
Policy,
25%
New
Service,
17%Prototype, 20%
Idea, 38%
Output
(Projects)
Participation
25%
Idea
Suggestion
8%
None
80%
Participation
9%
Idea
Suggestion
3%
Co-Creation
5%
Co-Operation
2%
None
67%
- 4 -
*Source: 2019 Smart City Index Report, ISi Lab, Yonsei University

6. © 2019. ISi All rights reserved
- 4 -
*Source: 2019 Smart City Index Report, ISi Lab, Yonsei University
Smart Governance can be defined as
: Establishing effective governance system to foster smart city innovation
Smart Governance
Leadership, Organization, Roadmap(Vision & Strategy), Legislation
Comprehen
sive (KPI)
10%
Comprehensive
45%
Focus Few Areas
(KPI)
10%
Focus Few
Areas
20%
Focus
Specific
Area (KPI)
10%
Focus
Specific
Area
5%
IS Dept.
35%
Mixed
10%
Sustainability
10%
Economic
5%
Others
[SPC|
15%
Others
[Board]
15%
Others
[Agency]
5%
Others
[National]
5%
Focus of
Smart City
Strategy
Dedicated
Organization
Type
Smart City Governance
Need to share holistic view of Smart City
45% smart city strategy comprehensive, 35% driven by IS department.
Based on their Smart City Strategies, cities need to set KPIs to develop / monitor
their initiatives with feasible roadmap actions.
To encourage cooperation between different
government agencies / private sectors, some cities operate SPCs.
Korea National Strategic Smart City R&D Project
National Smart City R&D Program Consists of 3 Parts ;
(Regarding domain specific characteristics – eg.Transportation)
1) Smart City Model and Base Technology
2) Use-Case Model (Daegu)
3) Living Lab Model (Siheung)
Smart City SOS(System of Systems)
Management Tools are developed
*Source: Concept Paper(v.1), ISi Lab, Yonsei University (2019.06)
: National Strategic Smart City Program, KAIA (2019.05)
경로 검색 정보 (민간 네비게이션)
혼잡 정보 (경찰청 / 교통안전공단)
이동 패턴 정보 (도시철도공사 / 교통안전공단)
실시간 차량 운행 정보 (민간 기업 / 대구시)
대중교통 승/하차 정보 (도시철도공사)
버스 노선/정류장 신설 의견 (시민참여포털)People
Public
Private
RAW DATA PLAN
요구항목진단
서비스시나리오2
실시간 운행 정보 (Open API)
실시간 교통 혼잡 정보 (Open API)
버스 노선/정류장 신설 의견(시민참여포털)
교통 수요 모니터링 및 예측 정보
빅데이터분석과시민참여
를통한수요응답형
대중교통운영
통합환승요금체계운영
경로정보(네비게이션)
실시간 운행 정보
(민간기업/공공기관)
실시간 이동 정보
(민간기관/공공기관)
교통 현황 정보
(경찰청/택시/민간기업)
비접촉 결제 정보
(스마트폰/웨어러블)
접촉 결제 정보
(교통카드)
요금결제
정보
비접촉 결제 정보
(스마트폰)
차량정보
(대구광역시-전기차)
공유
교통
정보
대중교통 노선
(민간기업)
최적화경로정보
(민간기업)
DESIGN DEVELOP
대중교통 노선
(민간기업)
가공
서비스시나리오1
TEST
접촉 결제 정보
(교통카드)
비접촉 결제 정보
(스마트폰/웨어러블)
차량정보
(대구광역시-전기차)
비접촉 결제 정보
(스마트폰)
테스트데이터
알파 테스트
데이터
베타 테스트
데이터
MAINTENANCE
운영데이터
시민/ 관계자 피드백
붕괴 감지 센서
NET
WO
RK
DA
TA
HU
B
IoT
SENSOR
NETWORK
PLATFORM
수위 감지 센서
CCTV
통합 관제
센터
민원 정보 시스템
재난 정보 공동활용
시스템
…
SER
VIC
E SEN
ARI
O
SE
RV
IC
E
OP
ER
AT
IO
N
APPLICATION
DATAAPPLICATION
SERVICE
EFFECT
재난/사고에 의한 사망자 저감
도시 재해 피해액 저감
재난 상황 예측 데이터
디지털
시민청
취약성 분석 데이터
플랫폼장치/네트워크 애플리케이션
데이터
애플리케이션
서비스
효과
승/하차 정보
(도시철도공사)
도시 IoT 데이터
승/하차 정보
(도시철도공사)
도시 IoT 데이터
승/하차 정보
(도시철도공사)
도시 IoT 데이터
대중교통 승/하차 정보
경로 검색 정보
경로 정보(O/D)
(네비게이션)
도시 IoT 데이터
차량 운행 정보
실시간 운행 정보
(민간 기업)
도시 IoT 데이터
실시간 운행 정보
(대구광역시-GPS)
도시 IoT 데이터
교통 현황 정보
(경찰청)
도시 IoT 데이터
교통 현황 정보
(교통안전공단 – 택시)
도시 IoT 데이터
교통 현황 정보
(민간 기업)
도시 IoT 데이터
혼잡 정보
이동 패턴 정보
실시간 이동 정보
(대구광역시-전기차)
도시 IoT 데이터
실시간 이동 정보
(도시철도공사)
도시 IoT 데이터
실시간 이동 정보
(버스 사업자)
도시 IoT 데이터
실시간 이동 정보
(교통안전공단-택시)
도시 IoT 데이터
Data
Hub
빅데이터 분석과
시민참여를 통한
수요 응답형
대중 교통 운영
재난/사고에 의한
사상자 저감
도시 재해
재산피해액 저감
통합 환승
요금체계 운영
최적화 경로 정보
(민간 기업)
도시 IoT 데이터
대중교통 실시간
운행 정보
(Open API)
도시 IoT 데이터
교통 혼잡 정보
(Open API)
도시 IoT 데이터
대중교통 노선
(민간 기업)
도시 통계 데이터
차량 정보
(대구광역시-전기차)
도시 IoT 데이터
차량 정보
(대구광역시-전기차)
도시 IoT 데이터
공유 교통 정보
(민간 기업)
도시 IoT 데이터
비접촉 결제 정보
(스마트폰)
도시 시민 데이터
비접촉 결제 정보
(웨어러블)
도시 시민 데이터
접촉 결제 정보
(교통카드)
도시 시민 데이터
요금 결제 정보
도시 시민 데이터
버스노선/정류장
신설 및 이전 의견
(시민참여 포털)
도시 소셜 데이터
교통 수요
모니터링
교통 수요
예측
Smart Mobility 구현
서비스 및 기술 평가 프레임워크 설계 서비스 및 기술 검증
요소 기술 및
서비스 개념설계
수요자/공급자
요구사항
구현 기술 설계
A. 스마트 모빌리티 서비스
시나리오 개발 및 실증
서비스 설계
평가 및 검증
평가 및 검증
실증지역현황 설계
서비스 개념정립
(Concept Exploration)
서비스 평가
프레임워크
(Gate Decision)
서비스 실증 검증
서비스 효과 검증
수요자/공급자
만족도
운영 및
유지관리
서비스 및 기술 검증
요소 기술
검증
서비스 수준
관리
서비스 효과
측정 및 관리
Project – Program - Portfolio Data Reference Model Stage-Gate / V-model
Concept of 3P are introduced
to differentiate layers of
performance
Data flow diagram is drawn
to analyze the lifecycle and
its core value
Stakeholders are recognized,
Project development process
evaluated

7. © 2019. ISi All rights reserved
Download Our Smart Cities Index Report From
http://isiyonsei.cafe24.com/#publication