持続可能な開発目標（ＳＤＧｓ）

内閣府作成資料（2017）1

Session2 Green Growth through SDGs - Interactive
Collaboration among Global Cities and Regions 【Presentation】①Integrative Actions toward Sustainable Circular Ecological
Cities and Regions Tsuyoshi Fujita, NIES, Japan②The most recent progress of IPCC-AR6 Yong Geng,
Professor, Shanghai Jiao Tong University, China③Climate Village as Low Carbon Actions in Indonesia
Rizaldi Boer, Bogor Agricultural University, Indonesia④From Local Renewable Energy toward SDGs; social
innovation of Stadtwerke from Germany;Guido Wallraven,
Saerbeck City, Germany⑤Climate Change Adaptation in Japan;Mimi Nameki, Centerfor Climate Change Adaptation, Japan

16th Kawasaki Eco-Business Forum
November 13th, 2019

Integrative Actions toward
Sustainable Circular Ecological Cities
and Regions
Prof. FUJITA, Tsuyoshi
Director of Social Environmental Systems Center,
National Institute for Environmental Science, Japan
Specially Appointed Prof. of Tokyo Inst. of Tech.
Co-Authored by
Dr. K.Gomi, Dr. M.Fujii ,Dr. S.Maki, Dr. Y.Hirano

Hurricane Maria: Devastation in Puerto Rico

4

SDGs Promotion Headquarters (third meeting)relating to working with local governments, June 9th, 2017
(Excerpt from Prime Minister’s statement)“Sustainable Development Goals, or SDGs, are important efforts that all countries, both developed anddeveloping, are responsible for. Japan’s standpoint is from that of providing security for people, and through ourleadership we plan to realize a society in which no one is left behind, and in which each and every individual candemonstrate their abilities.
Focusing on July’s UN report and September’s UN General Assembly meeting, I will once again provide
instructions regarding the following 3 points.
(Abridged)

Second is the promotion of
SDGs in the regions. These aresure to contribute to theinvigoration of localities. I
request that related cabinet
ministers work together toconsider policies to promote
regional efforts to achieve
SDGs, as well as implement
these policies.
Held June 9, 2017 (at Prime
Minister’s Office)5

Eco-cities, Smart Cities and SDGs Future Cities● Eco-Model Cities since 2008; 23cities
Low-carbon Unification Initiatives for Cities/Regions● Future Cities since 2011; 11 cities
The creation of successful examples to be spreadthroughout Japan and internationally●SDGｓ Future Cities
2018; 29 2019;31
Autonomous SDGs Plans
and Model Project Cities

6【Inclusion ・ Integration】 Efforts to local governments
Welfare・Health

Education

Urban
Planning Built
Environment
Environment・Energy・ Industry・Tourism・
Water
Agriculture

7

Promoting Local Government SDGs for Invigoration of Localities
Aim

Materials from Promotion of Overcoming Population Decline and Vitalizing Local Economy,Cabinet Office, Japanmodel programs① Initiatives for promoting
local government SDGs
・Creation of a future
vision・Creation of a system
・Reflects on various plansetc.

① Creation of a synergistic effectthrough comprehensive initiatives in thethree aspects of economy, society, andenvironment② Implementation of programs
for achieving SDGs

③ Cooperation with diverse
stakeholders

・Holding events
・Educational programs
for a broad range of agesetc.

② Construction of a self-directedvirtuous cycle

Based on the Comprehensive Strategy for Community,
People, and Work Creation 2017 Revision (Cabinet
Decision 12/22/2017)

Government Offices Taskforce for Promoting Local Government SDGs
(scheduled for establishment in January 2018)
Office for Promotion of Overcoming Population Decline
and Vitalizing Local Economy in Japan, Cabinet Office (Office)Ministry of Internal
Affairs andCommunications

Ministry ofJustice

Ministry ofForeign Affairs

Ministry of
Finance

Ministry of Education,
Culture,Sports, Scienceand Technology

Communicate examples ofsuccess from selected cities
that should be shared inJapan and other countries.

Sustainable community
development○Initiatives for achieving SDGs in local governments contribute to the realization of locality invigoration.
○Initiatives for achieving SDGs by local governments will be publicly sought and cities proposing
outstanding initiatives will be selected as an SDGs FutureCity and strong assistance will be provided by
the Government Offices Taskforce for Promoting Local Government SDGs.
○10 pioneering initiatives will be chosen as Local Government SDGs model programs and financial
support provided. (FY2018 estimated budget is 400 million yen (new))SDGs FutureCity Initiatives
2030
Demonstration of
Select cities
ofsuccessful examples
Local government SDGs

CabinetSecretariat

Reconstruction
AgencyCabinetOfficeMinistry of Health,
Labor and Welfare

Ministry ofAgriculture,
Forestry and Fisheries

Ministry of Economy,
Trade and Industry

National Police
AgencyMinistry of Land,
Infrastructure,
Transport and Tourism

Financial
Consumer Affairs
Services Agency
AgencyMinistry of theEnvironment

Ministry of
Defense8

環境省 一部総務省、厚生労働省、経済産業省、国土交通省連携事業

9Local Energy Pilot Projects for SDGS

①Circular Industrial Parks②Local Energy System③Strategic Land Use Planning10Industrial Symbiosis and Urban Industries toempower cities by circularization11

Eco-town area as demonstration project forSound material cycle society
METI & MOE approved Eco-Town
Plans for 26 areas as of the end ofJanuary 2006, and they provided
financial support to 62 facilities
located within the appropriate areas.

Forming the basis of capacity that totally
2.18 mil t of wastes were treated

Edited by Prof. Fujita, T.，Publishedby METI,,2006

Distribution ofJapanese
Eco-towns

Distribution of Total
Investment Subsidy
projects in 24 EcoTowns 600mil. US$

Distribution of
Total Investment
60 projects in 24
Eco-Towns 1.6 bil.
US$

Berkel and Fujita et. al., Environment,
12
Science and Technology, 2010

Variation of Eco-Industrial Parks(EIP) Strategies in Eco-towns
Green Institute(Minneapolis)

URBAN REDEVELOPMENT
TYPE EIP Kitakyushu

Sustainable technology
research company*

CITY-FARMCOLLABORATIONTYPE EIP

Cape Charles Sustainable
Farm
Technology Park
(Virginia)

Recycle goods
retail & sale*
Ecologicalconsulting
company*

Rural Area

Hokkaido

Ecological equipment
manufacturing

Environmental
Information
EIP Center; Demonstration
Businessbuilding*
Support･Environmental data bank
CCR･Collaborative marketing purchase

Chen andFujita et.
al., Environment
conscious
systemEuro. commuting
J.LRT,ofPedestrian
Clean Energy
SystemEnvironmental
Operation Path Supply
Energy Storage
communication*
System*Research,
INDUSTRIAL SYMBIOSIS Fertilizer
2013
TYPE EIP

CompostFuel Cell･Waste collection and recycling-Eco-material, Recycled Material-Design for environment

Environmental
education*

Residential
Districts

Urban Area

MethaneFermentation

Akita, Osaka
Organic waste
Methanefermentation
Composting

Chemical factory

Cement factory

Heat
Heat
Heat

Fly ashPlastic
recycle center*

Brownfield
Neighborhood

Power plant*

Heat
Building material
recycle center*

Oil
Petro chemicalfactory

Industrial symbiosis type

Industrial complex

Kawasaki, Minamata
Water Front

Collaboration
reverse logistics
District heat supply

PRODUCT
REMANUFACTURING
TYPE EIP

SDGs Cities from Circular Economy
・Circular region through local circularization and energy management
・Information and infrastructure system for resource circularization, local
energy management and eco-system utilization

14

Local Energy Pilot Projects for SDGS

①Circular Industrial Parks②Local Energy System③Strategic Land Use Planning

15

Newest Smart Community underway in Fukushima 16
Shinchi Town,
Soma-Futaba Region, Fukushima Prefecture
Population:
8,247 / Households: 2,754 /Shinchi Town
JAPAN

Area: 46.35 km2 (As of Jan. 1st, 2017)

SDGs from Local Energy Business

Fukushima16

町のシンボルとなる地域エネルギーセンター建設状況 Oct. 201817

Local Energy Based Urban Rebuilding Project in Fukushima
Sustainable rebuilding projects through collaborative planning among
town planning, industrial development and local energy system
施設農業

Multi sectoral energy management/housing/commercial/agriculture

Strategic land
use transition 都市
targets

Energy Center•Smart thermal andelectricity management

LNG
Steam
Electricity

Efficient local energy
management for a
local scale system

LNG Plant18

Distribution of Monitoring System in Bogor City
Residence 5
SMK Tri Dharma

Residence 1

CCROM
Hotel
Café
SMP Negeri 5
Admin
Residence 2 Residence 1
Residence 2
Residence 3
CCROM
Residence 4
BAPPEDA
Botani
DPRD
squareCafé
Sub District
Hotel
Botani square
Residence 5
Residence 3
Residence 6
Residence 4
Residence 7
SMP Negeri 5
SMK Tri Dharma
Sub District

Residence 7
IPB Darmaga Campus Central
Administration Office
Residence 6
BAPPEDA
DPRD

Legends
Bogor city Boundary
Monitoring points
2km

We have been monitoring
about 180 points in Bogor city
since FY 2014
Sensor
15
16
6
46
4
6
4
12
13
7
10
10
3
3
4
6
6

Area [m2]
243
413.8
150
?
68
80
87
210
377.8
1021.6
587
42000
99.4
137.1
156.4
2600
8000

19

Smart Symbiosis Initiatives for Eco town Innovation
Smart ICT network will promote andcomplement the synergetic network functions
Initiatives
among stakeholders

Energy and consumption
demand control system
for urban sectors

気象情報

発電量予測

Information support for optimizing
local and regional material and energy
circularization

Local Data
Collection
CenterSmartcommunity

information

High value

Local
symbiosis
Power plant
Steel
CementEnergy demand
response

Waste and material

Smart industrial complex

Smart Recycle
substitutive
CenterBy-productChemicalincineration

EnergyLocal energy supply
and demand
RenewableenergyUrban
Waste
Energydemand
発電・熱量
information

Smart industrial complex
supported by synergetic
information network amongindustries

methaneOperation
information

DemandUrban andRegional symbiosis

20

Future Design for Fukushima Circulating
Ecological Sphere（3）Wind /solar power
generation Micro grid and use in
Shichi Station area

Shinchi
StationShinchi Energy Center（2）Low carbon regional
mobility model (CASE)

新地駅周辺スマートコミュニティ事業（2019年構築
イノベーションによる脱炭素地域エネルギーモデル（〜2022年）（1）CEMS with AI
support Demand
Optimization Energy
System

将来ビジョン：持続可能な環境エネルギーまちづくり： 脱低炭素地域エネルギーモデル（ユーティリティ3.0）（2023年〜）

21SDG Piliot Projects from Local Energy Policies
Energy education

Low carbon
town planning

Local Energy
Governance

Forestory Restoration）

Stadt Werke

22

Scope plan of low carbon Future Scenarios for Cities◆Cloud EV city

• Hydrogen station compact
town development• EV cloud storage◆Hydrogen energy

CO2 free hydrogenproduction
Hydrogen production baseHydrogen storage etc◆HybridTransportation

・ Automatic
operation network
・ Personal mobility,
barrier-free walking
network◆Smart mobility• MAAS（Mobility-as-aService）• Public transport network• Traffic congestion
prediction, traffic control• Public car sharing◆Large scale

Renewable energy• Mega, meso solar• Wind power (land/ocean)• Biomass (forest,
methane, algae) Blue
carbon etc.
• DR, digital grid
• Thermal energy network• Society 5.0 type regional
service

Regional
energy◆Cascade woody society
Wood sorting technology
Construction material utilization
system (CLT, laminated wood,interior material, craft material)
Cogeneration biomass energy
Woody compact city

◆Reconstruction business,science tourism•

Ecotourism, town development
regeneration, network tourism ofenergy, industrial development base,
low carbon tourism of natural park

CircularShinchi future revival project・ Future-oriented environment creation recoveryEconomy
2030 2040 2050

・ Zero CO2 emissions due to fossil removal
・ Population recovery by regional innovation
・ Local revitalization

Information infrastructure of
regional circulation symbiosis
Knowledge platform◆Smart wellness◆Regional group that

Smart longevity health service
Robot, drone delivery
Smart personal monitoring etc

utilizes information network

Inter-district communication using CT
Public services that utilize ICT
Remote Hometown Support System• University base office
invitation• SDGs Policy Platform

Compact zoning and network services
from a long-term perspective
Formation of urban industry symbiosis
district◆Regional circulation symbiosis
type land conversion that utilizes
local resources, materials◆Climate change Adaptation

Strategic urban area downsizing
Regional Adaptation Consortium
Disaster prevention infrastructure
construction

Transportation
Town planning◆Start based smart city

◆Human resourceand education◆De-fossil type compact
network◆Future-oriented
green area financeCommercialization support base TIF
bonds etc.
ESG investment
Green Bond, FunanceReal RE 100 company invitation◆Safe and secure regional environment information
sharing network•••

Cooperation with environmental information telemeter system etc.
Risk communication · Environmental awareness improvement
information system
Local circulation symbiosis business real time information sharing◆Low carbon complexes inenergy intensive industries

Wide area base of material typeindustry
LNG base cold energy business
Local production and consumptioncogeneration in LNG thermal powerplant
Decompression distributed supply in
LNG pipeline
Zero carbonization by highly efficient
CCS business◆Industry symbiosis typesmart agri facility and system

Development Risk Information
Network
Consumer, distribution real-time
information network
Thermoelectric carbon dioxide◆循環素材
supply bytrigeneration
Sixth industrialization
business• バイオプラスチック等
including processing sales◆Closed loop recycling
High added value recycling
Sorting center
Solar panel recycling base EV
storage battery reuse base etc◆Technologies that support
the realization of circular
economy• Logistics optimization
mainly for venous logistics• Sharing economy• Service of goods

23

Policy Scenario Design Process for SDGs Model Cities andRegions

Dialogue Local Information
Staristics
with・GIS Population,
Industries, （500mgrid）
BAU
Local
<2010年、2015年>
Scenarios
Governments
Diagnoses of
Scoping
FutureCities andFocal Policy
Scenario
Regions
Area /
Simulation
Goods/ Bads
ReseaPilot Projectrch
DesignConsoSDGs Policy
Policyrtium
SDGs Local
Indicators138
Global SDGs
Indicators

Key
Indicators

Inventory

24Revised by authors from the Material of Cabinet
Office Local SDGs Committee, Local Indicator WG

Local Indicators from Japan for HDPF in UN, NY
as Officlai Local SDGs indicators for Japanese Cities
1.1.
1

1.2.
1

1.2.
2

1.3.
1

1.4.
1

1.4.
2

1.5
.1

1.5
.2

1.5
.3

1.5
.4

1.a
.1

1.a.
2

1.a.
3

2.1.
1

2.1.
2

2.2.
1

2.2.
2

2.3.
1

2.3.
2

2.4
.1

2.5
.1

2.5
.2

2.a
.1

2.a
.2

2.b
.1

2.c.
1

3.1.
1

3.1.
2

3.2.
1

3.2.
2

3.3.
1

3.3.
2

3.3
.3

3.3
.4

3.3
.5

3.4
.1

3.4
.2

3.5
.1

3.5.
2

4.1.
1

4.2.
1

4.2.
2

4.3.
1

4.4.
1

4.5.
1

4.6
.1

4.7
.1

4.a
.1

4.b
.1

4.c
.1

5.1.
1

5.2.
1

5.2.
2

5.3.
1

5.3.
2

5.4.
1

5.5
.1

5.5
.2

5.6
.1

5.6
.2

5.a
.1

6.1.
1

6.2.
1

6.3.
1

6.3.
2

6.4.
1

6.4.
2

6.5
.1

6.5
.2

6.6
.1

6.a
.1

6.b
.1

7.1.
1

7.1.
2

7.2.
1

7.3.
1

7.a.
1

7.b.
1

7.X

7.X

7.X

8.1.
1

8.2.
1

8.3.
1

8.4.
1

8.4.
2

8.5.
1

8.5
.2

8.6
.1

8.7
.1

8.8
.1

9.1.
1

9.1.
2

9.2.
1

9.2.
2

9.3.
1

9.3.
2

9.4
.1

9.5
.1

9.5
.2

10.1
.1

10.2
.1

10.3
.1

10.
4.1

10.
5.1

10.
6.1

10.
7.1

10.
7.2

11.1
.1

11.2
.1

11.3
.1

11.
3.2

11.
4.1

11.
5.1

11.
5.2

12.1
.1

12.2
.1

12.2
.2

12.
3.1

12.
4.1

12.
4.2

13.1
.1

13.1
.2

13.1
.3

13.
2.1

13.
3.1

14.1
.1

14.2
.1

14.3
.1

14.
4.1

15.1
.1

15.1
.2

15.2
.1

16.1
.1

16.1
.2

17.1
.1

17.1
.2

1.b
.1

3.6
.1

4.X

1.X

SDGs Policy Key IndicatorsQuantified）
SDGs Policy Key Indicators（To Be-Quantified）

3.7
.1

3.7.
2

3.8.
1

3.8
.2

3.9.
1

3.9
.2

3.9
.3

3.a.
1

3.b.
1

3.b.
2

3.b.
3

3.c
.1

3.d.
1

3.X

3.X

3.X

3.X

3.X

3.X

3.X

3.X

3.X

3.X

3.X

3.X

3.X

5.X

5.X

8.a.
1

8.b.
1

11.
X

16.
X

16.
X

5.a.
2

5.b.
1

5.c
.1

8.8
.2

8.9
.1

8.9.
2

8.1
0.1

9.a
.1

9.b
.1

9.c.
1

10.
a.1

10.
b.1

10.
c.1

10.
X

10.
X

11.
6.1

11.
6.2

11.
7.1

11.
7.2

11.
a.1

11.
b.1

11.
b.2

12.
5.1

12.
6.1

12.
7.1

12.
8.1

12.
a.1

12.
b.1

12.
c.1

13.
3.2

13.
a.1

13.
b.1

14.
5.1

14.
6.1

14.
7.1

14.
a.1

14.
b.1

14.
c.1

15.
3.1

15.
4.1

15.
4.2

15.
5.1

15.
6.1

5.7
.1

15.
8.1

15.
9.1

15.
a.1

15.
b.1

15.
c.1

16.1
.3

16.
1.4

16.
2.1

16.
2.2

16.
2.3

16.
3.1

16.
3.2

16.
4.1

16.
4.2

16.
5.1

16.
5.2

16.
6.1

16.
6.2

17.2
.1

17.
3.1

17.
3.2

17.
4.1

17.
5.1

17.
6.1

17.
6.2

17.
7.1

17.
8.1

17.
9.1

17.
10.
1

17.
11.
1

17.
12.
1

8.1
0.2

11.
c.1

8.X

11.
X

11.
X

11.X

11.
X

11.
X

11.
X

11.
X

16.
7.1

16.
7.2

16.
8.1

16.9
.1

16.
10.
1

16.
10.
2

16.
a.1

16.
b.1

17.
13.
1

17.
14.
1

17.
15.
1

17.1
6.1

17.
17.
1

17.
18.
1

17.
18.
2

17.
18.
3

13.
X

17.
19.
1

17.
19.
2

25

SDGs Key Indicators for Policy Planning
SDGs Focal
Projects for
Model Project
Planning
SDGs Key
Indicators
Smart(Prototype)
ICT Cities
for Policy
Local Energy
DesignBusiness
Goal

GlobalIndicator(GI）Localized Indicator
（ LI）

1.1.1

相対的貧困割合

2.1.2.2

生産額ベースの食料自給率（各都道府県の食料生産額／食料消費仕向額）

3.4.1

Local Transit
SystemLocal
Circularizing
Business

心血管疾患、癌、糖尿病の死亡率(心血管疾患、癌、糖尿病の死亡数/総死亡数）

3.b.3

人口当たりの一般病院数（一般病院数/人口）

4.1.1

中学登校者割合（（中学校在学者数-不登校者数）/中学校在学者数）

4.2.1

5歳未満の入院者割合（5歳未満の入院者数／5歳未満人口）

4.a.1.2

学校におけるコンピュータの設置状况率

6.3.1

汚水処理人口普及率

6.a.1

人口当たりの下水道費（下水道費／総人口）

7.1.1

人口当たりの電力エネルギー消費量（電力エネルギー消費量/人口）

7.2.1.4
7.3.1

新エネルギー発電割合（新エネルギー発電量/最終エネルギー消費量）

8.2.1

就業者当たりの県内総生産（県内総生産/就業者数）

8.4.1

1人1日当たりのごみ排出量（家庭部門）

8.5.1

労働者の平均時給（平均所得/所定内+超過実労働時間）8.5.2

失業率（完全失業者数/労働力人口）

8.9.1

県内総生産当たりの観光消費額（観光消費額/県内総生産）

9.2.1.2

人口当たりの製造業粗付加価値額（製造業粗付加価値額/人口）

9.4.1

県内総生産当たりのCO2排出量（CO2排出量／県内総生産）

9.5.1

県内総生産当たりの研究開発費（研究開発費支出総額/県内総生産）

9.c.1

インターネット普及率

10.2.1

相対的貧困世帯割合

10.4.1

労働生産性（付加価値額/従業員数）

11.2.1

鉄道．電車．バスの利用割合

11.3.1.3

人口自然増減（出生数-死亡数）/総人口

11.6.1

廃棄物の最終処分割合（最終処分量/ごみ総排出量）

12.2.1

1人1日当たりのごみ排出量（家庭部門）

12.4.2

有害廃棄物割合（その他廃棄物/廃棄物の総搬入量）

12.5.1

リサイクル率13.1.1

災害等の自然外因による死亡者割合（災害等の自然外因による死亡者/人口）13.X

人口当たりのCO2排出量（CO2排出量/総人口）

14.4.1

人口当たりの漁獲量（漁獲量+養殖收穫量）/総人口

15.1.1

森林面積割合（森林面積/面積）エネルギー消費量当たりの県内総生産（県内総生産/エネルギー消費量）

16.1.4.1

人口当たりの刑法犯認知件数（刑法犯認知件数／総人口）

17.1.2.1

財政力指数

17.8.1

インターネット普及率

17.17.1

地域サポーターを設置している市区町村の割合

through
CoPlanning
Process26

Comparative Diagnosis of Cities by SDGs Key Indicators(2010)

9.2.1.2人口当たりの製造業粗付加価
值（千円/人）12.5.1ごみのリサイクル率

11.2.1鉄道．電車．バスの利 13.x人口当たりのCO2排出量（t/人）
14.4.1人口当たりの漁獲量（t/
用割合
万人）
27

Socio Economic Environmental Forecast of Future
Scenarios
合計

なりゆきシナリオからの人口維持効果（2050年時点）

持続可能シナリオ

9000

単
独

複
合

教育・地域人材育成

662 427235

持続可能な農漁業と六次産業化

621 558

62

電子・情報産業[Society5.0]

602 413189

エネルギー地産地消
サービス業地元消費

263 18480

域外就業者の居住促
進415 38629

出産・子育て支援

303 21984

既存産業の維持321 199

122

(人)
8,218
8000

8,122

8,214 8,279
8,039

8,075

8,033

8,030

8,218
8,060

7,302

常住人口(人)

7000

6000

なりゆきシ
ナリオ

6,401
6,027
5,619
5,229

5000

4,842

4000

3000
2015

2020

2025

2030

2035

2040

2045

2050

設定案にもとづいて取組を全く実施しない「なりゆきシナリオ」とすべての取組を実施した「持続可能シナリオ」の人口をそれぞれ試算し、各取組の効果によるなりゆきに対する人口の押し上げ（人口維持効果）を分析した。各取組独で実施しても発揮される単独効果と、他の取組との相乗で発揮される複合効果がある。

28

AIM Regional Model to Quantify the SDGs Accomplishments
Dr. Gomi NIES

Regional Integrated Assessment Model AIM region

Climate Change
ImpactAdaptaion Model

Impacts on
agri-production

Definition of commuting patterns

RetailService
InboundLi,r  VAi,r / LPi,rPr,a VAPnb,r ( for i  nb)
VAi,r   aVAb,r( for i  b)

 

  CMi,s,r / LPRs    Lout s,r   PCs,a  Ps,a  r
  i ,r

Agri. Fore.
External designation on
scenarios

RetailService

Estimated by
the population

Local
Residents

OutboundCohort estimation andestimation of social
in-out migration

Residents
85_Over
80_84
75_79
70_74
65_69
60_64
55_59
50_54
45_49
40_44
35_39
30_34
25_29
20_24
15_19
10_14
05_09
00_04

Birth Ratio

350 300 250 200 150 100 50
女性

0

50 100 150 200 250 300
男性

Prep
Pop
Estimat.
t-1
Net change
CohortPopulation

Ecologicalresource
endowments

Agri. Fore.
Industry

Li,r  RSi,s,r  CMi,s,r

Production

Ecological
Impact Model

Estimated from Production

Commuters

Land useregulation

Population and Local Economy Model
Employment

Land Use
Model

Local Energy
Model

Local
Transportation Model

Solid Waste
Model

RenewableenergyCO2 Emission

Modal Dist.
Public System

Circular
Production andEnergy29

Interactive Eco-policy Simulation System in Asia
Fukushima Shinchi
TownshipNational Institute for Env. Studies

Community Assist Tablet Network
Energy Assist
Life Assist
Community
Information Assist

Local
Needs
Regional
Environment
Information

Planning for
Sustainable Future

Urban Spatial
Analysis

Integrated
Modelling

Local
environment
diagnosis

Future scenario
assessment

Simulation forrecovery roadmap
復興まちづくりのシミュレーション

Tech. and policy
inventory-low carbon tech-circulation tech-industrial symbiosis-policy / regulation-land use control
30

Discussion materials for Interactive Simulation
Interactive Scenario Simulation in Fukushima
Stakeholder Meeting2019 4Preparation

2019 06

2019 6
1st Stakeholder
Meeting2019 8
2nd Stakeholder
Meeting2019 10
3rd Stakeholder
Meeting2019 1•Sharing scenario storylines andquantification tools•Local data base design

・Preparatory discussion

Start up of Stakeholder meeting

Research Team

Steered by IPB, BAPEDA, NIES

• Definition of Scenario Scope• Choice of Focal Policy Area and Tech
• Participation Design• BAU Future scenario output• Focal Policy Area Options (Household
Energy/ Transportation / Waste）• SDGs Future Scenario• Sustainable future scenarios• Priority setting among scenarios• Extension toward action plans•Model Simulation（BAU）future•Focal Scope andTechnology spectrum の検討•Quantification of alternative
scenario simulations for focal
policy fields and technology
options•Alternative Scenario design andsimulation for quantification

Green City Symposium focusing citizen participation

31

Selected list of recent publications in the related topics
















Seiya Maki, Shuichi Ashina, Minoru Fujii, Tsuyoshi Fujita, et.al (2018); Energy consumption monitoring system
and integrative time series analysis models - case study in the green city demonstration project in Bogor City,
Indonesia , Frontiers of Energy, in press
Remi Chandran, Tsuyoshi Fujita, et.al.(2018); Expert networks as science-policy interlocutors in the
Implementation of a Monitoring Reporting and Verification (MRV) system, Frontiers of Energy, in press
Yi Dou, Takuya Togawa, Liang Dong, Minoru Fujii, Satoshi Ohnishi, Hiroki Tanikawa, Tsuyoshi Fujita (2018)
Innovative planning and evaluation system for district heating using waste heat considering spatialconfiguration: A case in Fukushima, Japan. Resources, Conservation and Recycling, 128, 406-416
Yujiro Hirano, Kei Gomi, Shogo Nakamura, Yukiko Yoshida, Daisuke Narumi, Tsuyoshi Fujita (2017) Analysisof the impact of regional temperature pattern on the energy consumption in the commercial sector in Japan.
Energy and Buildings, 149, 160–170
Yujiro Hirano, Tsuyoshi Fujita (2016) Simulating the CO2 reduction caused by decreasing the air conditioning
load in an urban area. Energy and Buildings, 114, 87-95
Yong Geng, Tsuyoshi Fujita, et.al. (2016) Recent progress on innovative eco-industrial development. Journalof Cleaner Production, 114, 1-10
Hiroto Shiraki, Shuichi Ashina, Yasuko Kameyama, Seiji Hashimoto, Tsuyoshi Fujita (2016) Analysis of optimal
locations for power stations and their impact on industrial symbiosis planning under transition toward lowcarbon power sector in Japan. Journal of Cleaner Production, 114, 81-94
Satoshi Ohnishi, Minoru Fujii, Tsuyoshi Fujita, et.al. (2016) Comparative analysis of recycling industry
development in Japan following the Eco-Town program for eco-industrial development. Journal of Cleaner
Production, 114, 95-102
Takuya Togawa, Tsuyoshi Fujita, et.al. (2016) Integrating GIS databases and ICT applications for the design ofenergy circulation systems. Journal of Cleaner Production, 114, 224-232
Minoru Fujii, Tsuyoshi Fujita, et.al. (2016) Possibility of developing low-carbon industries through urban
symbiosis in Asian cities. Journal of Cleaner Production, 114, 376-386

Thank you for your Attention

32