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Þ ß å Ã ¡t 4 ö á ð up o §t¡© r ´b Y iÑ r I Þ á ð s N · e 7 e7 e7 e Þ ò sp upf ×...

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ǞȌ ǟǥ ˃Ƙʡtȴ˶ˡ˰ ϝȍuƇr˯_mpʧt¡©rδbɩÑɲϞ ˡ˰ƔųɎ ǞȌ ǟ ɑ ůťljƟƬ ɢðƟƬ Ƈ˲˃Ƙˡ˰Ȑ
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Page 1: Þ ß å à ¡t 4 ö á ð up o §t¡© r ´b Y iÑ r I Þ á ð s N · e 7 e7 e7 e Þ ò sp upf × & D ¤ / ï 6 Æ ß 7 Ý ¿ v ÞÃ¬Ë 4`Ã¬Ë per puofe eepf se ee uofpu _ m

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Page 10: Þ ß å à ¡t 4 ö á ð up o §t¡© r ´b Y iÑ r I Þ á ð s N · e 7 e7 e7 e Þ ò sp upf × & D ¤ / ï 6 Æ ß 7 Ý ¿ v ÞÃ¬Ë 4`Ã¬Ë per puofe eepf se ee uofpu _ m

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0510152025303540

1950

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2010

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0510152025303540

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1990

1995

2000

2005

2010

下水道ダム漁港港湾空港鉄道道路建築物

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[billion ton]

[billion ton]

Page 15: Þ ß å à ¡t 4 ö á ð up o §t¡© r ´b Y iÑ r I Þ á ð s N · e 7 e7 e7 e Þ ò sp upf × & D ¤ / ï 6 Æ ß 7 Ý ¿ v ÞÃ¬Ë 4`Ã¬Ë per puofe eepf se ee uofpu _ m

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Page 16: Þ ß å à ¡t 4 ö á ð up o §t¡© r ´b Y iÑ r I Þ á ð s N · e 7 e7 e7 e Þ ò sp upf × & D ¤ / ï 6 Æ ß 7 Ý ¿ v ÞÃ¬Ë 4`Ã¬Ë per puofe eepf se ee uofpu _ m

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Page 17: Þ ß å à ¡t 4 ö á ð up o §t¡© r ´b Y iÑ r I Þ á ð s N · e 7 e7 e7 e Þ ò sp upf × & D ¤ / ï 6 Æ ß 7 Ý ¿ v ÞÃ¬Ë 4`Ã¬Ë per puofe eepf se ee uofpu _ m

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Page 18: Þ ß å à ¡t 4 ö á ð up o §t¡© r ´b Y iÑ r I Þ á ð s N · e 7 e7 e7 e Þ ò sp upf × & D ¤ / ï 6 Æ ß 7 Ý ¿ v ÞÃ¬Ë 4`Ã¬Ë per puofe eepf se ee uofpu _ m

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金属 (○○)

化石(○○)

木材(○○)

Page 19: Þ ß å à ¡t 4 ö á ð up o §t¡© r ´b Y iÑ r I Þ á ð s N · e 7 e7 e7 e Þ ò sp upf × & D ¤ / ï 6 Æ ß 7 Ý ¿ v ÞÃ¬Ë 4`Ã¬Ë per puofe eepf se ee uofpu _ m

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A

(百万トン)

物質ストック17,223

建築物:7539道路:3999

他社会基盤:5685耐久消費財:NA

その他:NA

木材:371砂利・砕石:7611コンクリート:8741鉄:473 その他:NA

(百万トン)

物質ストック28,227

建築物:7539

道路:3999

他社会基盤:5685耐久消費財:NA

その他:NA

木材:597

砂利・砕石:12843

コンクリート:13912

鉄:854 その他:NA

Page 20: Þ ß å à ¡t 4 ö á ð up o §t¡© r ´b Y iÑ r I Þ á ð s N · e 7 e7 e7 e Þ ò sp upf × & D ¤ / ï 6 Æ ß 7 Ý ¿ v ÞÃ¬Ë 4`Ã¬Ë per puofe eepf se ee uofpu _ m

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Page 21: Þ ß å à ¡t 4 ö á ð up o §t¡© r ´b Y iÑ r I Þ á ð s N · e 7 e7 e7 e Þ ò sp upf × & D ¤ / ï 6 Æ ß 7 Ý ¿ v ÞÃ¬Ë 4`Ã¬Ë per puofe eepf se ee uofpu _ m

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Page 22: Þ ß å à ¡t 4 ö á ð up o §t¡© r ´b Y iÑ r I Þ á ð s N · e 7 e7 e7 e Þ ò sp upf × & D ¤ / ï 6 Æ ß 7 Ý ¿ v ÞÃ¬Ë 4`Ã¬Ë per puofe eepf se ee uofpu _ m

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0 5 10 15 20 25 30 35 40 45 50

資源生産性[万円/ ton]

0

2

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6

8

10

12

14

16

18

循環利用率[%]

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Page 23: Þ ß å à ¡t 4 ö á ð up o §t¡© r ´b Y iÑ r I Þ á ð s N · e 7 e7 e7 e Þ ò sp upf × & D ¤ / ï 6 Æ ß 7 Ý ¿ v ÞÃ¬Ë 4`Ã¬Ë per puofe eepf se ee uofpu _ m

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e p f e

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Ⅶ ) ( - (-

ⅦProf. Liselotte Schebek e e

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Ⅶ ) ( - -

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ⅦStoweflake Conference Center, Stowe, VT, United States

ⅦProf. Heinz Schandl(Commonwealth Scientific Industrial Research Center, Australia)eProf. Fridolin

Krausmann(IFF / Social Ecology Institute, Alpen-adolia Universtat, Austria)e eTomer Fishman

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Page 24: Þ ß å à ¡t 4 ö á ð up o §t¡© r ´b Y iÑ r I Þ á ð s N · e 7 e7 e7 e Þ ò sp upf × & D ¤ / ï 6 Æ ß 7 Ý ¿ v ÞÃ¬Ë 4`Ã¬Ë per puofe eepf se ee uofpu _ m

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Ⅶ ES ISIE SEM-AP 2016 International Conference

ⅦProf. Heinz Schandl(Commonwealth Scientific Industrial Research Center, Australia)e

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Page 25: Þ ß å à ¡t 4 ö á ð up o §t¡© r ´b Y iÑ r I Þ á ð s N · e 7 e7 e7 e Þ ò sp upf × & D ¤ / ï 6 Æ ß 7 Ý ¿ v ÞÃ¬Ë 4`Ã¬Ë per puofe eepf se ee uofpu _ m

24

Ⅶ ) - )-

ⅦPadova University, Italy

ⅦProf. Mario(Padova University, Italy)e eAlessio Miatto

Ⅶ u e

f

Ⅶ ) - (-

ⅦCSIRO, Canberra, Australia

ⅦProf. Heinz Schandl(Commonwealth Scientific Industrial Research Center, Australia)e

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Page 26: Þ ß å à ¡t 4 ö á ð up o §t¡© r ´b Y iÑ r I Þ á ð s N · e 7 e7 e7 e Þ ò sp upf × & D ¤ / ï 6 Æ ß 7 Ý ¿ v ÞÃ¬Ë 4`Ã¬Ë per puofe eepf se ee uofpu _ m

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1) Tomer Fishman, Heinz Schandl, Hiroki Tanikawa: Stochastic Analysis and Forecasts of the Patterns of Speed,

Acceleration, and Levels of Material Stock Accumulation in Society, Journal of Industrial Ecology, DOI:

10.1021 / acs.est.5b05790, 2016.

2) Alessio Miatto, Heinz Schandl, Tomer Fishman, Hiroki Tanikawa: Global Patterns and Trends for Non-Metallic

Minerals used for Construction, Journal of Industrial Ecology, DOI:10.1111/jiec.12471, 2016.

3) e e Ⅶ

22, 89-100 , 2016.

4) Ichiro Daigo, Leo Fujimura, Hideo Hayashi, Eiji Yamasue, Satoshi Ohta, Tran Duc Huy, Yoshikazu Goto:

Quantifying the total amounts of tramp elements associated with carbon steel production in Japan. ISIJ Int.

57(2), 2017.

5) Ichiro Daigo, Kohei Iwata, Masahiro Oguchi, Yoshikazu Goto: Lifetime distribution of buildings decided by

economic situation at demolition : D-based lifetime distribution. Procedia CIRP (accepted) 2017.

6) e e e Ⅶ

eVol.45(4), Dec, 2016.

7) Ichiro Daito: Material Stock and the End-of-life Recycling Rate of Steel, Steel Construction: Today &

Tomorrow, No.46, pp.9-12e2015.

8) Oguchi M., Fuse M.: Regional and longitudinal estimation of product lifespan distribution: A case study for

automobiles and a simplified estimation method, Environmental Science and Technology, Vol.49, pp.1738-

1743, 2015.

1) Keisuke Yoshida, Keijiro Okuoka, Hiroki TaniakwaⅦStudy of Anthropogenic Disturbance with

Geomorphologic ChangeeThe 12th Biennial International Conference of EcoBalancee2016.10.3-6, Kyoto,

Japan

Page 27: Þ ß å à ¡t 4 ö á ð up o §t¡© r ´b Y iÑ r I Þ á ð s N · e 7 e7 e7 e Þ ò sp upf × & D ¤ / ï 6 Æ ß 7 Ý ¿ v ÞÃ¬Ë 4`Ã¬Ë per puofe eepf se ee uofpu _ m

26

2) Ikko NonakaⅦAnalyzing the influence of zoning on urban metabolism, using 4d-GIS eThe International

Society for Industrial Ecology (ISIE) joint 12th Socio-Economic Metabolism section conference and 5th Asia-

Pacific conferencee2016.9.28-30, Nagoya, Japan

3) Satoshi OnoⅦAn evaluation of efficient usage of herbaceous biomass using the road networkeThe

International Society for Industrial Ecology (ISIE) joint 12th Socio-Economic Metabolism section conference

and 5th Asia-Pacific conferencee2016.9.28-30, Nagoya, Japan

4) Marianne Faith G. Martinico-Perez (Nagoya University), Tomer Fishman, Emee Tan, Keijiro Okuoka, Hiroki

Tanikawa, Anthony Sf ChiuⅦMaterial Flow and Stock Accounts in the Philippines: Drivers and Impacts to the

EnvironmenteThe International Society for Industrial Ecology (ISIE) joint 12th Socio-Economic Metabolism

section conference and 5th Asia-Pacific conferencee2016.9.28-30, Nagoya, Japan

5) Keisuke Yoshida, Tomer Fishman, Okuoka Keijiro, Hiroki TanikawaⅦAutomatic spatial detection and

estimation of domestic extraction and hidden material flowseThe International Society for Industrial Ecology

(ISIE) joint 12th Socio-Economic Metabolism section conference and 5th Asia-Pacific conferencee2016.9.28-

30, Nagoya, Japan

6) Alessio Miatto, Heinz Schandl, Tomer Fishman, Hiroki TanikawaⅦLifespan modelling uncovers urban stock

and flow behavioureThe International Society for Industrial Ecology (ISIE) joint 12th Socio-Economic

Metabolism section conference and 5th Asia-Pacific conferencee2016.9.28-30, Nagoya, Japan

7) Tomer Fishman, Shohei Kuroda, Keijiro Okuoka, Kenji Sugimoto, Hiroki TanikawaⅦShedding light on

material stocks: towards a global database of the built environment using satellite imagery eThe International

Society for Industrial Ecology (ISIE) joint 12th Socio-Economic Metabolism section conference and 5th Asia-

Pacific conferencee2016.9.28-30, Nagoya, Japan

8) Yi Dou, Satoshi Ohnishi, Minoru Fujii, Liang Dong, Takuya Togawa, Hiroki Tanikawa, Tsuyoshi FujitaⅦ

Regional Planning and Assessment System for Heat Exchange Network between Incineration Facilities and

Industries: Case of Tokyo MetropoliseThe International Society for Industrial Ecology (ISIE) joint 12th

Socio-Economic Metabolism section conference and 5th Asia-Pacific conferencee2016.9.28-30, Nagoya,

Japan

9) Cuc Thi Nguyen, Hiroki Tanikawa, Keijiro Okuoka, Tomer FishmanⅦEvaluation Material Stock of

Roadways: The Case Study of VietnameThe International Society for Industrial Ecology (ISIE) joint 12th

Socio-Economic Metabolism section conference and 5th Asia-Pacific conferencee2016.9.28-30, Nagoya,

Japan

10) Dong Yang, Chang Chen, Feng Shi, Keijiro Okuoka, Hiroki Tanikawa ,Yiling GuoⅦA Study on Metabolism

of Urban Buildings by Using 4D-GIS in Hubei Province, ChinaeThe International Society for Industrial

Ecology (ISIE) joint 12th Socio-Economic Metabolism section conference and 5th Asia-Pacific conferencee

2016.9.28-30, Nagoya, Japan

11) Serika Akiyama, Keijiro Okuoka, Hiroki TanikawaⅦAnalysis of amount and age of material stock in building

in NagoyaeThe International Society for Industrial Ecology (ISIE) joint 12th Socio-Economic Metabolism

section conference and 5th Asia-Pacific conferencee2016.9.28-30, Nagoya, Japan

Page 28: Þ ß å à ¡t 4 ö á ð up o §t¡© r ´b Y iÑ r I Þ á ð s N · e 7 e7 e7 e Þ ò sp upf × & D ¤ / ï 6 Æ ß 7 Ý ¿ v ÞÃ¬Ë 4`Ã¬Ë per puofe eepf se ee uofpu _ m

27

12) Kengo Matsui, Keijiro Okuoka, Hiroki TanikawaⅦConstruction minerals for a low-carbon society: stocks and

flows analysiseThe International Society for Industrial Ecology (ISIE) joint 12th Socio-Economic Metabolism

section conference and 5th Asia-Pacific conferencee2016.9.28-30, Nagoya, Japan

13) Takaya Yamashita, Keijiro Okuoka, Hiroki TanikawaⅦMaterial stock and flow in the WGreater Tokyo e

The International Society for Industrial Ecology (ISIE) joint 12th Socio-Economic Metabolism section

conference and 5th Asia-Pacific conferencee2016.9.28-30, Nagoya, Japan

14) Hiroki Sato, Hiroki Tanikawa, Keijiro OkuokaⅦSpatial Analysis of Building Lifespan and 19 Distribution of

Building Age in Kitakyushu City with Geo-informationeThe International Society for Industrial Ecology

(ISIE) joint 12th Socio-Economic Metabolism section conference and 5th Asia-Pacific conferencee2016.9.28-

30, Nagoya, Japan

15) Kenji Sugimoto, Shohei Kuroda, Keijiro Okuoka, Hiroki TanikawaⅦMaterial stock estimation using nighttime

lights dataeThe International Society for Industrial Ecology (ISIE) joint 12th Socio-Economic Metabolism

section conference and 5th Asia-Pacific conferencee2016.9.28-30, Nagoya, Japan

16) Chansophea Cheak, Hiroki Tanikawa, Keijiro Okuoka, Tomer Fishman, Suguru SuzugakiⅦMaterial and

Energy Flow of Electricity Generation in CambodiaeThe International Society for Industrial Ecology (ISIE)

joint 12th Socio-Economic Metabolism section conference and 5th Asia-Pacific conferencee2016.9.28-30,

Nagoya, Japan

17) Mitchell Cua Castillon, Tanikawa Hiroki, Okuoka Keijiro, Yoshida Keisuke ⅦCalculation of Mining

Anthropogenic 17 Disturbance Using Remote Sensing in Caraga Region, Philippines eThe International

Society for Industrial Ecology (ISIE) joint 12th Socio-Economic Metabolism section conference and 5th Asia-

Pacific conferencee2016.9.28-30, Nagoya, Japan

18) A. Miatto, T. Fisherman, H. Schandl, H. Tanikawa ⅦLifespan Modeling Uncovers Urban Stock

Accumulation and Outflow Forecast BehavioureIndustrial Ecology Gordon Research Conference e

2016.6.19-24, Vermont, United States of America

19) T. Fisherman, H. Schandl, H. Tanikawa ⅦDo Countries Reach a Saturation of Material Stock?eIndustrial

Ecology Gordon Research Conference e2016.6.19-24, Vermont, United States of America

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Page 29: Þ ß å à ¡t 4 ö á ð up o §t¡© r ´b Y iÑ r I Þ á ð s N · e 7 e7 e7 e Þ ò sp upf × & D ¤ / ï 6 Æ ß 7 Ý ¿ v ÞÃ¬Ë 4`Ã¬Ë per puofe eepf se ee uofpu _ m

28

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Page 30: Þ ß å à ¡t 4 ö á ð up o §t¡© r ´b Y iÑ r I Þ á ð s N · e 7 e7 e7 e Þ ò sp upf × & D ¤ / ï 6 Æ ß 7 Ý ¿ v ÞÃ¬Ë 4`Ã¬Ë per puofe eepf se ee uofpu _ m

29

In order to better understand the effects of resource consumption on the natural environment, the research field of

material flows and stock accounting offers systematic methods of analysis. The material flow in Japan calculated by

the Ministry of Environment covers inflow and outflow, and net addition of stock(NAS), however it doesn’t indicate

the material stock which has been accumulated in society. Material stock is closely related to services provided to

society and the resource value recycled from output o demolish of stocks. This research focuses on the importance of

material stock to achieve welfare, and aims to evaluate the time-series quantity of material stock in four steps, for the

sake of the necessity of knowledge and information to clarify the material stock accumulated in Japan. In the first

step, cases and patterns are collected domestically and internationally in order to examine adaptability to Japan. They

are segmented and classified on the basis of structural objects and instruments. In the second step, several

methodologies to evaluate material stocks quantitatively are presented evolved from the qualitative assessment in the

first step. The specific case studies are examined based on each case. In the third step, in order to measure actual mass

of material stock by year, a method of statistical processing is established on a high level which fits national census

requirements. Additionally, the question of how to figure out material stock is examined at a practical level. In the

last step, the establishment of a stock-type society and its effects on environmental and economical aspects is

evaluated. Analysis of the driving forces of material stock reveals the linkage between welfare and material stock.

The knowledge accumulated with these steps can contribute to integrate three kinds of societies: low carbon society,

sound material-cycle society, and natural symbiosis society. This study builds a material stock and flow model, and

presents Sankey diagrams for the visualization of the results.

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Page 35: Þ ß å à ¡t 4 ö á ð up o §t¡© r ´b Y iÑ r I Þ á ð s N · e 7 e7 e7 e Þ ò sp upf × & D ¤ / ï 6 Æ ß 7 Ý ¿ v ÞÃ¬Ë 4`Ã¬Ë per puofe eepf se ee uofpu _ m

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Page 36: Þ ß å à ¡t 4 ö á ð up o §t¡© r ´b Y iÑ r I Þ á ð s N · e 7 e7 e7 e Þ ò sp upf × & D ¤ / ï 6 Æ ß 7 Ý ¿ v ÞÃ¬Ë 4`Ã¬Ë per puofe eepf se ee uofpu _ m

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Page 38: Þ ß å à ¡t 4 ö á ð up o §t¡© r ´b Y iÑ r I Þ á ð s N · e 7 e7 e7 e Þ ò sp upf × & D ¤ / ï 6 Æ ß 7 Ý ¿ v ÞÃ¬Ë 4`Ã¬Ë per puofe eepf se ee uofpu _ m

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Page 39: Þ ß å à ¡t 4 ö á ð up o §t¡© r ´b Y iÑ r I Þ á ð s N · e 7 e7 e7 e Þ ò sp upf × & D ¤ / ï 6 Æ ß 7 Ý ¿ v ÞÃ¬Ë 4`Ã¬Ë per puofe eepf se ee uofpu _ m

38

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f

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Page 40: Þ ß å à ¡t 4 ö á ð up o §t¡© r ´b Y iÑ r I Þ á ð s N · e 7 e7 e7 e Þ ò sp upf × & D ¤ / ï 6 Æ ß 7 Ý ¿ v ÞÃ¬Ë 4`Ã¬Ë per puofe eepf se ee uofpu _ m

39

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E-2Ⅶ E(5) eE-3Ⅶ E(6)

e p e t f

e p p peSn=EXP[-(n/λ)α] f

p λeα ehMeasurement of Depreciation Rates based on Disposal Asset Data in

Japani Koji Nojima and Fumio Momose, September29,2008 hTable8.Estimated Weibull

Distribution and Average Service Livesi e e p p

f e u p e eo p

u p p hOheri t p f se

t u p t e ow o e

u f

-7 s o f

Page 41: Þ ß å à ¡t 4 ö á ð up o §t¡© r ´b Y iÑ r I Þ á ð s N · e 7 e7 e7 e Þ ò sp upf × & D ¤ / ï 6 Æ ß 7 Ý ¿ v ÞÃ¬Ë 4`Ã¬Ë per puofe eepf se ee uofpu _ m

40

p

λ α

AⅦ e Office Building 35.4 1.61

BⅦ Paved roadways 23.9 1.52

CⅦ Recreation/training facilities 46.5 1.87

C-1Ⅶ Recreation/training facilities 46.5 1.87

C-2Ⅶ Paved roadways 23.9 1.52

C-3Ⅶ Oil/gas tank facilities and pipelines 33.8 1.81

C-4Ⅶ Electoric power plants 26.3 1.73

DⅦ Other vehicles for own use 19.4 2.31

D-1Ⅶ Other vehicles for own use 19.4 2.31

D-2Ⅶ Other household electric appliances 14.0 1.84

D-3Ⅶ Electric lighting fixture 15.9 1.49

D-4Ⅶ Metal furniture and furnishing, fixtures 14.6 1.68

EⅦ Other metal products 15.2 1.81

E-1Ⅶ

Other metal products 15.2 1.81

E-2Ⅶ Other metal products 15.2 1.81

E-3Ⅶ Other metal products 15.2 1.81

ⅦMeasurement of Depreciation Rates based on Disposal Asset Data in Japani Koji Nojima and

Fumio Momose, September29,2008

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p f

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p u p u o f

Page 42: Þ ß å à ¡t 4 ö á ð up o §t¡© r ´b Y iÑ r I Þ á ð s N · e 7 e7 e7 e Þ ò sp upf × & D ¤ / ï 6 Æ ß 7 Ý ¿ v ÞÃ¬Ë 4`Ã¬Ë per puofe eepf se ee uofpu _ m

41

p f e e

p e t p p f 4 p e h 22

t s

i h -3.1 Ⅶkg/ i

2001 p f se f -8 s f

-8

73.0% 7.8% 8.2% 2.5% 8.5%

p e(1) s e t s e

t e p pf

e 1 e p e1000kg/ f

Page 43: Þ ß å à ¡t 4 ö á ð up o §t¡© r ´b Y iÑ r I Þ á ð s N · e 7 e7 e7 e Þ ò sp upf × & D ¤ / ï 6 Æ ß 7 Ý ¿ v ÞÃ¬Ë 4`Ã¬Ë per puofe eepf se ee uofpu _ m

42

e e p f 4 p e e p e

h 22 i h 9 ()i p f se h i f e

p eh 2006 Ⅶ

TMR w Journal of Life Cycle Assessment, Japane2 4 e341-346i h i f t

e -9 s f

-9

55 % 3% 26% 16%

51% 3% 32% 14%

31% 20% 13% 36%

6.4 % 16.9% 69.0% 7.5% 0.3%

p e(1) s e t s e

t e p pf

e 1 e p -10 f

-10 1 o

1 o kg/

70

70

40

0.1

Page 44: Þ ß å à ¡t 4 ö á ð up o §t¡© r ´b Y iÑ r I Þ á ð s N · e 7 e7 e7 e Þ ò sp upf × & D ¤ / ï 6 Æ ß 7 Ý ¿ v ÞÃ¬Ë 4`Ã¬Ë per puofe eepf se ee uofpu _ m

43

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Q&A 2011 7 8 i p f -11 se

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44

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PBT,PET,

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Page 46: Þ ß å à ¡t 4 ö á ð up o §t¡© r ´b Y iÑ r I Þ á ð s N · e 7 e7 e7 e Þ ò sp upf × & D ¤ / ï 6 Æ ß 7 Ý ¿ v ÞÃ¬Ë 4`Ã¬Ë per puofe eepf se ee uofpu _ m

45

l m HP o h i p f1981

2011 h s i p f 2011f

2012 e e 2 f d

2012 2013 h s ie20142015 h s i p f

pf d o

2012 2015 p h i p f e20132015 p u p p t e e p f

e p eh 24 24

2013 3 25i p f eh i h

Q & A( 26 6 , 27 10 ”, 28 4 ”)i f

Ⅶkg/kW

EVA,PET, , ,

100

81%

15

12%

8

7%

Page 47: Þ ß å à ¡t 4 ö á ð up o §t¡© r ´b Y iÑ r I Þ á ð s N · e 7 e7 e7 e Þ ò sp upf × & D ¤ / ï 6 Æ ß 7 Ý ¿ v ÞÃ¬Ë 4`Ã¬Ë per puofe eepf se ee uofpu _ m

46

l m ue 2 2

f s e e pw uo f

l m

h

Ⅶ i e 17 17f

e t o e a

p f

p e s e e2 p p ue

u g p e

f u p u t f e u p e

p pw uo r f

p e 17 p ue u

1981 t t e1998 u p pf e

2 u p p p t e

p r f

Page 48: Þ ß å à ¡t 4 ö á ð up o §t¡© r ´b Y iÑ r I Þ á ð s N · e 7 e7 e7 e Þ ò sp upf × & D ¤ / ï 6 Æ ß 7 Ý ¿ v ÞÃ¬Ë 4`Ã¬Ë per puofe eepf se ee uofpu _ m

47

p f

h e i

p f e t p eh i h

i f u s o f

e t f e p

p peSn=EXP[-(n/λ)α] f p λeα

ehMeasurement of Depreciation Rates based on Disposal Asset Data in Japani Koji Nojima and

Fumio Momose, September29,2008 hTable8.Estimated Weibull Distribution and Average Service

Livesi e e p p f e

t u p t e ow o e

u f

e hPower wiring systemsi o eU=20.6eT=1.59f

e t o e a

p f

se e u f e u

HP 2002 t o t e2002

p e p r f

e p u h i

u f

Page 49: Þ ß å à ¡t 4 ö á ð up o §t¡© r ´b Y iÑ r I Þ á ð s N · e 7 e7 e7 e Þ ò sp upf × & D ¤ / ï 6 Æ ß 7 Ý ¿ v ÞÃ¬Ë 4`Ã¬Ë per puofe eepf se ee uofpu _ m

48

w p f se e p

o ue s u p e p

p f

h l m i

p f e e e te

t e e h i

e5 f 4 e h i h e i p

f e ess 3 1 e p

H13,H14,H16,H17,H19,H20,H22,H24 p e t λ

f eH26,H27 p eH25 p f

p e e e e p

eh i h i f e

e e e o p e

2.35t/ e 2.35t/ e 0.6t/ p

p f se h i w o e

u p uo u f e e

p e r t e

f

h

e e NO.671/ -18,35-48,2001.2 i s p

f

e t o e a

p f

se e u f w u ue

wt uo ue4 uo

o 2000 f

Page 50: Þ ß å à ¡t 4 ö á ð up o §t¡© r ´b Y iÑ r I Þ á ð s N · e 7 e7 e7 e Þ ò sp upf × & D ¤ / ï 6 Æ ß 7 Ý ¿ v ÞÃ¬Ë 4`Ã¬Ë per puofe eepf se ee uofpu _ m

49

p f

1990 13.6 1.5 3.0 19.3 34.6 71.8

1995 10.0 1.2 2.7 15.6 29.4 58.9

2000 10.3 1.4 1.9 15.4 27.8 56.8

2005 10.0 1.0 1.6 18.8 24.2 55.7

2010 7.8 0.8 1.2 17.3 17.4 44.4

2014 9.4 0.8 1.3 15.2 19.0 45.7

2015 8.9 0.7 1.1 14.6 17.6 43.0

0

10

20

30

40

50

60

70

80

1958

1959

1960

1961

1962

1963

1964

1965

1966

1967

1968

1969

1970

1971

1972

1973

1974

1975

1976

1977

1978

1979

1980

1981

1982

1983

1984

1985

1986

1987

1988

1989

1990

1991

1992

1993

1994

1995

1996

1997

1998

1999

2000

2001

2002

2003

2004

2005

2006

2007

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