于家堡金融区低碳城镇指标体系 Yujiapu Financial District Low-Carbon Town Index System

天津市新金融低碳城市设计研究院有限责任公司

于家堡金融区低碳城镇指标体系Yujiapu Financial District Low-Carbon Town Index System

于家堡金融区YUJIAPU Financial

District

海河HAIHE RIVER

蓝鲸岛BLUE WHALE ISLAND

于家堡金融区位于滨海新区，总建筑面积达到 970万平方米，将是世界最大的金融区之一。 Yujiapu Financial District at the CBD of Binhai New Area, It covers 3.86sq.km. of land

and is divided into 120 parcels with a planned GFA of 9.7 million square meters.,it will become world’s largest financial district .

2010年 6月 19日，第 9届 APEC能源部长会议确定于家堡金融区为首例 APEC低碳示范城镇。

On June 19, 2010, the 9th APEC Energy Ministerial Meeting was held in Yokohama, Japan. The meeting chosed Yujiapu Financial District as the first APEC low-carbon model town.

响螺湾商务区XIANGLUOWAN BUSINESS

DISTRICT

于家堡金融区概况 Overview of Yujiapu Financial District

于家堡金融区的低碳规划特点Low-Carbon Decomposition of City Orientation

2

全球最大规模的金融商务区全球最大规模的金融商务区全球最大规模金融区商务区

国内首个规划了丰富的立体架构、地

下空间的金融区

以生态景观为基底、与自然环境为

友的金融区

World’s largest financial CBD

China’s first financial district which has planned rich 3D

architecture and underground space.

Eco-landscape-based environment-friendly financial

district

于家堡金融区低碳城镇指标体系的定位与思路

于家堡金融区低碳城市目标城市定位的低碳分解于家堡金融区低碳目标分解

1Orientation and Approach of Yujiapu Financial District Low-Carbon Town Index System

Low-carbon city targets of Yujiapu Financial District

Low-Carbon Decomposition

of City Orientation

Decomposition of Low-Carbon Targets of Yujiapu Financial District

于家堡低碳城市研究内容Research Content of Yujiapu Low-Carbon City

低碳智慧金融城

1

于家堡低碳城市目标 Targets of Yujiapu Low-Carbon City

Low-Carbon Smart Financial City

城市定位的低碳分解Low-Carbon Decomposition of City Orientation

1

垂直立体城

低碳生活城多元活力城

网络金融城智慧未来城3D city

Low-carbon life city Diversified and vibrant city

E-finance city Smart future city

于家堡金融区低碳目标分解Decomposition of Low-Carbon Targets of Yujiapu Financial District

1

减排目标

C1 一个实现绝对减排的新城镇；C1 a new town realizing absolute carbon emission reduction (CER); C2 一个碳减排各方面指标达到国际领先水平的城镇。C2 a town with all CER indexes reaching international leading level.

CERT

环境目标Environmental targets

E1 a high-density metropolis with a good natural environment; E2 a city at a leading level in intensive utilization of resources and energy; E3 a smart city owning Intellisense technology and environment.

S1 a 3D city with a high-density intensive layout; S2 a city with high-performance green buildings and high-carbon-sink low-carbon landscape; S3 a highly accessible city realizing convenient traffic through mass transit and non-motorized traffic; S4 a mixed-function city with characteristic urban blocks and vibrant streets.

SE1 a regional financial center attractive to individuals and companies; SE2 an innovative city in low-carbon economy, leading carbon finance and carbon trading; SE3 a city guiding low-carbon life and low-carbon operation by low-carbon policy.

空间目标Spatial targets

社会经济目标Social and economic targets

Technical Path and Low-Carbon Model of Yujiapu Financial District Low-Carbon City

于家堡金融区低碳城镇指标体系的技术路径

绿色低碳CBD 的发展

低碳 CBD发展模型

低碳城市建设的循环模式

于家堡金融区低碳建设路径

2Technical Path of Yujiapu Financial District Low-Carbon Town Index System

Development of Green CBD

Low-Carbon Development Model of Yujiapu Financial District

Low-Carbon Circulation Mode of Yujiapu Financial District

低碳城市建设的实施策略Implementation Strategy of Low-Carbon City Construction

降低固定碳源碳排放

Redu

ce c

arbo

n

emis

sion

s of

stat

iona

ry c

arbo

n

sour

ces

降低移动碳源

碳排放

Reduce carbon

emissions of mobile

carbon sources

降低过程碳源碳排放Reduce carbon

emissions of process carbon sources

促进自然碳汇碳清除

Promote carbon

removal by natural

carbon sink

减源增汇

低碳城市实施策略可以归结为“减源增汇”，在具体实施路径上可归纳为四类，即降低固定碳源碳排放；降低移动碳源碳排放；降低过程碳源碳排放；促进自然碳汇碳清除。Low-carbon city implementation strategy may be summarized into “source reduction and sink enhancement”. The concrete implementation paths may be classified into four categories: reduce carbon emissions of stationary carbon sources; reduce carbon emissions of mobile carbon sources; reduce carbon emissions of process carbon sources; promote carbon removal by natural carbon sink.

降低固定碳源碳排放

降低移动碳源碳排放

降低过程碳源碳排放

促进自然碳汇碳清除Promote carbon removal by natural carbon sink

Reduce carbon emissions of process carbon sources

Reduce carbon emissions of mobile carbon sources

Reduce carbon emissions of stationary carbon sources

Source reduction and sink enhancement

2

于家堡金融区的低碳城市问题与挑战Low-Carbon City Problems and Challenges of Yujiapu Financial District

2

问题与挑战Problem and challenge

解决方案Solution

人口高密度→交通压力High population density – traffic

pressure土地空间有限→城市高密度Limited land space – high city

density资源能源稀缺→能源水源

Resource and energy scarcity – energy and water resource

生态承载力→生态赤字Ecological capacity – ecological deficit

产业集聚→金融创新Industrial clustering – financial

innovation高层高密度→建筑节能减排

High-rise high density – energy conservation and emission reduction of buildings

低碳交通Low-carbon transport立体城市3D city低碳能源

Low-carbon energy低碳景观

Low-carbon landscape

碳金融Carbon finance

绿色建筑Green building

于家堡金融区低碳循环模式Low-Carbon Circulation Mode of Yujiapu Financial District

2

南疆热电厂+临港 IGCC

新村水厂+新区水厂+海河南岸水厂

垃圾回收

垃圾处理厂

再生建材

华北电网

新河污水处理厂

中翔中水厂

Recycled building materials

Garbage collection

Refuse processing plant

North China Power Grid

Nanjiang Thermal Power Plant + Port IGCC

Xinhe Sewage Treatment Plant

Zhongxiang Reclaimed Water Plant

Water plants for new villages + water plants for new areas + water plant on the southern bank of Haihe River

于家堡金融区低碳发展路径Low-Carbon Development Path of Yujiapu Financial District

2于家堡金融区减少碳源的低碳路径包含空间路径、技术路径和社会路径三个层面。空间路径涉及高密度开发的紧凑型城市、 TOD公交导向开发、小街坊密路网的城市结构以及功能混合的城市布局。The low-carbon paths of Yujiapu Financial District for reduction of carbon sources include spatial path, technical path and social path. Spatial path involves compact city developed in high density, TOD, city structure with small residential blocks and a dense road network and an urban layout with mixed functions.

WasteTransport

Building

Energy Plant

Carbon

sequestration

3D greening

Low-carbonYujiapu

High density urban

construction

TODCompact city

Small residential blocks and dense

road network

Hybrid city

Renewable energy

Regional energy

Reuse of reclaimed

water

Garbage recycling

Building energy

conservation

Low-carbon transport

Green building

NEV

Energy price policy

Smart city

E-commerce

CDMGreen life

Carbon finance policy

Multilevel greening

Local plants

Vertical agriculture

Green roof

Carbon capture

technology

Carbon sequestration

technology

Carbon source

(spatial path)

Carbon source

(social path)

Carbon source

(technical path)

Carbon sink

于家堡金融区低碳城镇指标体系的定位与目标

指标体系的构建思路指标体系制定思路

3Orientation and Targets of Yujiapu Financial District Low-Carbon Town Index System

Establishment flowConstruction ideas of the index system

“ 只有可测量，才能可操作”——彼得 · 费迪南德 · 杜拉克

“What Gets Measured Gets Managed”

——Peter Ferdinand Drucker

于家堡金融区低碳城镇指标体系的构建思路Establishment Approach of Yujiapu Financial District Low-Carbon Town Index System

3基本信息、规划及前期研究

Basic information, planning and preliminary study

低碳发展定位、目标Orientation and targets of low-carbon development

国内外指标体系案例研究Case study of domestic and foreign index systems

低碳城镇指标体系框架Low-carbon development index system framework

低碳城镇指标体系Low-carbon development index system

指标体系分解和技术路径Decomposition and technical path of the index system

低碳发展保障措施Supporting measures of low-carbon development

低碳循环模式Low-carbon cycle model

低碳关键路径Key low-

carbon path

国际著名机构定义Definition of international

famous institution

低碳城市建设实践Practice of low-carbon city

construction著名学者论著

Books of famous scholars

国内外参考指标体系库Database of domestic and

foreign reference index systems

指标体系研究Research on the index

system

延伸拓展Extend and expand

于家堡低碳指标体系从城市总体规划定位出发，结合自然气候条件和区域发展目标，从城市碳排放清单出发，根据于家堡城市碳排放的影响要素分析，从低碳环境保护、低碳资源利用、低碳空间组织、低碳交通出行、低碳经济发展和低碳城市运行六个维度形成低碳指标体系框架。Yujiapu low-carbon index system proceeds from the orientation of urban master plan and urban carbon emission inventory, considers natural and climatic conditions and regional development goals, and establishes a low-carbon index system framework from six dimensions including low-carbon environmental protection, low-carbon resource utilization, low-carbon space organization, low-carbon travel, low-carbon economic development, and low-carbon city operation.

于家堡金融区低碳城镇指标体系制定思路Establishment Approach of Yujiapu Financial District Low-Carbon Development Index System

3

Intelligence

New-type CBD

Low carbon

Emphasis Low

carbon

Emphasis

于家堡金融区低碳城镇指标体系的核心特色

核心 / 创新特色减碳目标关键绩效指标

4Core Characteristics of Yujiapu Financial District Low-Carbon Town Index System

Core/innovative characteristics

CERT KPI

国际首个低碳中心商务区指标体系 World’s first low-carbon CDB index system

于家堡金融区低碳城镇指标体系的核心特色Core Characteristics of Yujiapu Financial District Low-Carbon Town Index System

减碳指标全覆盖提出总量 / 强度 / 人均三指标

国内超前地提出总量减排 30% 目标

将指标体系延伸至指标分解和实现路径— （目标、分解、路径三合一）

全指标低碳相关—— 所有指标直接指向碳减排

指标区域特色及本地适宜性

于家堡

4

All indexes relate to low carbon——All indexes direct to CER

Full coverage of CER indexes——put forth total amount, intensity and per capita indexes

Extend the index system to index decomposition and realization path— (target, decomposition and path in trinity)

China’s first one setting a target of reducing total carbon emissions by 30% (technically advanced and feasible, but political factor should be considered)

Regional characteristics and local suitability of the indexes

于家堡金融区低碳城镇指标体系的减碳目标测算Core Characteristics of Yujiapu Financial District Low-Carbon Town Index System

4于家堡金融区的减碳目标 CERT of Yujiapu Financial District

低碳化的目标，主要由“二氧化碳排放总量”（总量目标）、“单位 GDP 二氧化碳排放量”（强度目标）、“人均碳排放量”（人均目标）组成。Low-carbon indexes mainly include “total CO2 emissions” (total amount target), “CO2 emissions of unit GDP” (intensity

target) and “per capita carbon emissions” (per capita target).

实现绝对总量目标减排约 30%

Realize absolute total amount target of reducing carbon emission by about 30%,

• 中期目标（至 2020年）： 2020年二氧化碳排放总量较 2010年减排约 20%。• Mid-term target (to 2020): by 2020, reduce total CO2 emissions by about

20% over 2010。• 长期目标（至 2030年）： 2030年二氧化碳排放总量较 2010年减排约 30%。• Long-term target (to 2030): by 2030, reduce total CO2 emissions by about

30% over 2010 。

2010， 1.866 million tons

2020， 1.466 million tons2030， 1.322 million tons

Reduce emissions by ~20%

Reduce emissions by ~10%

1.351 million tons

526,000 tons

1.047 million tons

430,000 tons923,000 tons

410,000 tons

Reduce ~20%

Reduce ~10%

1.8657M t 1.4652M t 1.3216M t

Carbon emissions of buildings

Carbon emissions of transport

(unit: 10000t)

2010 2020 2030

于家堡金融区低碳城镇指标体系的关键绩效指标KPI of Yujiapu Financial District Low-carbon Town Index System

4国际先进可持续城市的低碳发展计划普遍会有一个确定的碳消减总体目标。低碳生态城市则针对碳排放目标还会提

出一系列的关键指标作为达到总体目标的核心考核目标。针对于家堡低碳总体目标和目标分解，于家堡从城市低碳运行的温室气体量化减排出发，提出具有先进性和示范性

的关键绩效指标。The low-carbon development plan of an internationally advanced sustainable city universally

contain a determined overall CERT. A low-carbon eco-city will put forth a series of key indexes for CERT as core assessment targets in order to achieve the overall target.

In respect to the overall low-carbon target and target decomposition of Yujiapu, Yujiapu proceeds from quantitative GHG emission reduction of low-carbon city operation and puts forth advanced and exemplary KPI. 关键绩效指标 KPI

C0

1

碳排放全层次量化指标

C0

1 A

ll-level q

uan

titativ

e in

dex fo

r carb

on

em

ission

s

C0

2

高星级绿色建筑覆盖指标

C0

2 In

dex fo

r covera

ge o

f hig

h-sta

r gre

en

bu

ildin

gs

C0

3

区域能源集约供应指标

Ind

ex fo

r inte

nsiv

e re

gio

nal e

nerg

y su

pp

ly

C0

4

室内空气质量指标

C0

4 In

dex fo

r Ind

oor a

ir qu

ality

C0

5

高密度低碳城市空间指标

C0

5 In

dex fo

r hig

h-d

en

sity lo

w-ca

rbon

urb

an

space

C06

水资源节能指标

C06 In

dex fo

r Conse

rvatio

n o

f wate

r reso

urce

s

C0

7

高比例低碳出行指标

C0

7 In

dex fo

r hig

h-ra

tio lo

w-ca

rbon

travel

C1

0

智慧城市指标

C1

0 In

dex fo

r smart city

C0

8

地下空间综合利用指标

C0

8 In

dex fo

r com

pre

hensiv

e u

tilizatio

n o

f und

erg

round

space

C0

9

碳金融与碳交易创新示范指标

C0

9 In

dex fo

r inn

ovatio

n a

nd d

em

onstra

tion

of ca

rbon

finance

and

carb

on

trad

ing

于家堡金融区低碳城镇指标体系5Yujiapu Financial District Low-Carbon Town Index System


5

5于家堡金融区低碳城镇指标体系Yujiapu Financial District Low-Carbon Town Index System

Index category No. Index Value Time Construction time

sequenceNear termMid termLong term

Implementer

Government

Enterprise Public

Low

-car

bon

envi

ronm

enta

l pr

otec

tion

Low

-car

bon

reso

urce

ut

iliz

atio

n

Low

-car

bon

spac

e or

gani

zati

onL

ow-c

arbo

n tr

avel

Low

-car

bon

econ

omic

de

velo

pmen

t

Low

-car

bon

city

ope

rati

on

Low-carbon environment

Artificial environment

Energy use

Water resource utilization

Intensive land useGarbage disposal

Green building

Urban space

Urban space

3D city

Green transport

Economic vitality

Low-carbon economy

Smart city

Low-carbon policy

Total carbon emissions

Carbon intensity

Per capita carbon emissions

Green ratio of built-up areas

Indoor PM2.5 daily average concentration

Roof greening ratio

Multi-level greening ratio

Coverage rate of intensive regional energy supply

Daily per capita water consumption

Unconventional water resource utilization rate

Per capita area of land for construction

Daily per capita garbage generation

Ratio of separate waste collection

Ratio of green buildings

Ratio of small residential blocks

Underground space utilization rate

Underground vehicle traffic share rate

Length ratio of integrated underground pipe racks

Low-carbon travel ratio

Mass transit share ratio

Ratio of new-energy buses

Transfer distance of public transit system

Ratio of R&D input to GDP

Coverage rate of green procurement on public utilities

Carbon emission investigation rate of large public buildings

Carbon trading participation ratio of large public buildings

Coverage rate of intelligent transport

Coverage rate of smart grid

Coverage rate of low-carbon system management service

Perfection rate of low-carbon policy

Reduce by 30% in 2030 over 2010

≤150 t/million dollars of GDP

≤4.4 t/person

≤90/person•day

≤60m2/person

≤0.8kg/person·day

100%, ≥70% for buildings at or above 2 stars

Start from today

Start from today

Start from today

Start from today

Start from today

Start from today

2020

2020

2030

2020

2020

2020

2030

2020

2020

2020

2020

2030

2030

2020

2020

2020

2020

2020

2020

2030

2020

2030

2020

≤200m


5低碳环境 | 碳排放总量 Low-carbon environment | Total carbon emissions

指标定义Definition

指区域内温室气体以 CO2 当量形式表示的排放总量，以万吨表示。Refer to the total emission amount of GHG in the area expressed in form of CO2 equivalents. The unit is 10000 tons.

赋值Value

2020 年碳排放量较 2010 年基准减排 20% ， 2030 年较 2010 年基准减排 30%Reduce carbon emissions by 20% in 2020 over 2010, and 30% in 2030 over 2010

指标水平Level

国内首提 Put forth in the first time in China

减碳关联CER correlation

■ 确定碳排放总量目标 ■ Determine the target of total carbon emissions

计算方法 / 公式Calculation

method/formula

详见于家堡碳排放计算报告 For more information, please refer to Yujiapu carbon emission calculation report.

国内参照值Domestic

reference value

■Hong Kong: Reduce total CO2 emissions by 19%~33% in 2020 over 2005; ■Xiamen: Control total CO2 emissions at 68.64 million tons in 2020;

国际参照值Foreign

reference value

■London: Plan to lower carbon emissions in 2025to 60% of the level in 1990;■New York: Carbon emissions in 2030 will be reduced to about 70% of the level in 2005; ■Paris: In 2004, it proposed for lowering carbon emission level by 75% in 2050;■Tokyo: Reduce carbon emissions by 25% in 2020 compared to 2000; ■Hammarby Sj Stad: Reduce carbon emissions by 50% in 2015 compared to other districts in 1990.

Reduce ~20%

Reduce ~10%

1.8657M t 1.4652M t 1.3216M t

Carbon emissions of buildings

Carbon emissions of transport

(unit: 10000t)

2010 2020 2030

于家堡金融区低碳城镇指标体系Yujiapu Financial District Low-Carbon Town Index System低碳环境 | 碳强度 Low-carbon environment | Carbon

intensity


区域所有经济活动产生的二氧化碳排放当量与其国民生产总值的比值，以吨 / 百万美元表示。Refer to the ratio between CO2 emission equivalents generated by all economic activities in the area to the GDP of the area. The unit is t/million dollars.

赋值Value

单位 GDP 碳排放量≤ 150 吨 / 百万美元（ 2020 年） Carbon emissions of unit GDP≤150 t/million dollars (2020)

指标水平Level

国内领先 Leading in China


■ 确定碳强度减排指标 ■ Determine carbon intensity reduction index


method/formula


reference value

■Tianjin Sino-Singapore Eco-city index system: ≤150 t/million dollars (2013)■Tianjin Southern New Town index system: ≤150t/million dollars ■Wuxi Taihu New Town • National Low-carbon Eco-city Demonstration Area planning index system: ≤90t/million dollars ■Qingdao Sino-German Eco-Park index system: ≤240t/million dollars (2015), ≤180t/million dollars (2020)■Chongqing green, low-carbon and ecological urban area evaluation index system: ≤150t/million dollars ■Chinese low-carbon eco-city evaluation index system: ≤213t/million dollars (2015), ≤167t/million dollars (2020)

国际参照值Foreign reference

value

■Tokyo: 146t/million dollars ■New York: 173,000t/million dollars ■Paris: 112t/million dollars ■London: 162t/million dollars （以上数据在 2000 至 2006年之间 The above data are for 2000~2006 ）

5

2010 2020 2030

Carbon intensity (t/million dollars)

Carbon emission intensity =CO2 emission equivalents (t)GDP of the area (million dollars)

于家堡金融区低碳城镇指标体系Yujiapu Financial District Low-Carbon Town Index System低碳环境 | 人均碳排放 Low-carbon environment | Per capita carbon emissions


区域内人口（生产和消费）活动排放的碳总量，用该区域的人口相除，以吨 /人表示（此指标为碳排放人均指标）。Refer to total carbon emissions generated from (production and consumption) activities of the people in the area divided by the population of the area. The unit is ton/person (this index is a per capita carbon emission index).

赋值Value

人均碳排放≤ 4.4 吨 / 人 (2030 年） Per capita carbon emissions ≤4.4 t/person (2030)

指标水平Level

国内领先（同等城市） Leading in China (equivalent cities)


■ 确定人均碳排放减排指标 Determine per capita CER index


method/formula

国内参照值Domestic reference

value

■Langfang Wanzhuang Eco-City index system: ≤1t/person (2020)■Changsha Meixi Lake Eco-city index system: ≤4t/person

国际参照值Foreign reference

value

■Singapore: 7.86t/person (1994)■New York: 10.2t/person (2005)■Tokyo: 4.89t/person (2006)■Seoul: 4.1t/person (2006)■Vancouver: 4.9t/person (2006)■Sydney: 0.88t/person (2006)■Paris 5.2t/person (2005)

5

Per capita carbon emissions =Population of the area (person)CO2 emission equivalents (t)

2010年 2020年 2030年

01234567

6.24.9 4.4

人均碳排放（吨 /人）Per capita carbon emissions (t/p)

2010 2020 2030

于家堡金融区低碳城镇指标体系Yujiapu Financial District Low-Carbon Town Index System能源使用 | 区域能源集约供应覆盖率 Energy use | Coverage rate of intensive regional energy supply


采用新技术为区内建筑实行集中供热、集中供冷，综合利用城市电厂余热、冰蓄冷等低碳能源和技术，以集约的手法探求区域低碳化路线的区域能源供应占区域总能源供应的比例，以百分数表示。

赋值Value

区域能源集约供应覆盖率≥ 70% （ 2020 年） Coverage rate of intensive regional energy supply≥70% (2020)

指标水平Level

国际领先 Leading in the world


■ 能源集约供应，减少能源负荷，建筑能耗及碳排放； Intensive energy supply reduces energy load, and energy consumption and carbon emissions of buildings; ■ 减少能源机房建筑面积，降低建筑材料碳排放，节约冷热源投资； Reduce floor area of energy machine rooms, lower carbon emissions of building materials and save investment of cold and heat sources; ■ 专业合同能源管理，减少运营碳排放，节约运行费用。 Professional EPC reduces carbon emissions of operation and saves operating cost.


method/formula


reference value

■Changsha Meixi Lake Eco-city index system (Coverage rate of heat and cold supply to public building areas) ≥54%


reference valueN/A 无

5

Coverage rate of intensive regional energy supply =GFA of regional energy supply

Floor area of intensive regional energy supply * 100%

于家堡金融区低碳城镇指标体系Yujiapu Financial District Low-Carbon Town Index System绿色建筑 | 绿色建筑比例 Green building | Ratio of green buildings


建成区符合绿色建筑标准的建筑面面积占建成区总建筑面积的百分比（临时建筑除外），以百分数表示。Ratio between the floor area of the buildings conforming to the standard for green buildings in built-up areas to the gross floor area in built-up areas (except temporary buildings), expressed with percentage.

赋值Value

绿色建筑比例 100% ，二星级以上绿色建筑比例≥ 70% （ 2020 年）The ratio of green buildings is 100%, and the ratio of green buildings at or above 2 stars is 70% at least (2020)

指标水平Level



■ 通过建筑“四节”（节地、节能、节水、节材）减少能源、资源、材料等各方面减少碳排放。■Reduce carbon emissions through conservation of land, energy, water and materials.


method/formula


reference value

■Tianjin Sino-Singapore Eco-city index system: 100% (start from today)■Tianjin Southern New Town ecological index system: 100%■Tangshan Bay (Caofeidian) International Eco-city index system: 100%■Weifang BEDA eco-construction index system: ≥75% (2020)■Wuxi Taihu New Town • National Low-carbon Eco-city Demonstration Area panning index system: 100%■Changsha Meixi Lake Eco-city index system: 100%■Qingdao Sino-German Eco-park ecological index system: 100% (2015)■China low-carbon eco-city evaluation index system: 100%

5

Ratio of high-star green buildings = GFA of built-up areas

Floor area conforming to the standard for green buildings in built-up areas* 100%

于家堡金融区低碳城镇指标体系Yujiapu Financial District Low-Carbon Town Index System立体城市 | 地下空间利用率 3D city | Underground space utilization

rate


指建成区内地下空间开发建筑面积与规划建设用地面积之比（以百分数表示）。Ratio between the floor area of underground space development in the built-up areas and the planned area of land for construction (expressed with percentage).

赋值Value

地下空间利用率≥ 100% （ 2020 年） Underground space utilization rate ≥100% (2020)

指标水平Level


减碳关联

■ 节约城市用地，节约土地资源； ■ Save urban land and land resources;

■ 多层次集约开发利用地下空间； ■ Intensively develop and utilize underground space at multiple level;

■ 增加城市地面开敞景观空间； ■ Increase urban open landscape space on the ground;

■ 城市功能垂直分布，减少交通排放。 ■ Vertically distribute urban functions and reduce traffic emissions.

计算方法 / 公式

国内参照值

■长沙梅溪湖生态城指标体系： ≥ 35%■Changsha Meixi Lake Eco-city index system: ≥35%■河北省生态宜居城市建设目标指标体系： ≥ 5%■Hebei ecological and livable cities construction target index system: ≥5%■ 重庆市绿色低碳生态城区评价指标体系：引导性指标，鼓励选择■Chongqing green, low-carbon and ecological urban area index system: directive index, encourage selection

国际参照值无 N/A

5

Underground space utilization rate = Area of land for construction in built-up areas

Floor area of underground space development in built-up areas* 100%

于家堡金融区低碳城镇指标体系Yujiapu Financial District Low-Carbon Town Index System立体城市 | 地下车行交通分担率 3D city | Underground vehicle traffic share rate


指区域内地下车行交通系统出行的交通量占总车行交通量的比率，以百分数表示。Refer to the ratio of traffic volume of underground vehicle traffic system to total vehicle traffic volume in the area. The unit is percentage.

赋值Value

地下车行交通分担率≥ 20% （ 2020 年） Underground vehicle traffic share rate ≥20% (2020)

指标水平Level



■ 节约城市用地，节约土地资源； ■ Save urban land and land resources;

■ 多层次集约开发利用地下空间； ■ Intensively develop and utilize underground space at multiple levels; ■ 增加城市地面开敞绿地种植空间； ■ Increase urban open landscape space on the ground;

■ 城市功能垂直分布，减少交通排放。 ■ Vertically distribute urban functions and reduce traffic emissions.

计算方法 / 公式

国内参照值无 N/A

国际参照值无 N/A

5

Underground vehicle traffic share rate = Total vehicle traffic volume

Traffic volume of underground vehicle transport system* 100%

于家堡金融区低碳城镇指标体系Yujiapu Financial District Low-carbon Town Index System绿色出行 | 低碳交通比例 Green travel | Low-carbon travel

ratio


指区域内的居民在区内选择步行交通、自行车交通、轨道交通以及常规公交车交通等出行的数量占总体出行数量的比例，以百分数表示。Refer to the ratio of the number of travels of residents in the area on foot, or by bicycle, rail transit or conventional bus to the total number of travels. The unit is percentage.

赋值Value

低碳交通出行比例≥ 80% （ 2030 年） Low-carbon travel ratio ≥80% (2030)

指标水平Level



■ 减少机动车出行，降低交通碳排放； Reduce travel by motor vehicle and lower carbon emissions of traffic; ■ 鼓励公交出行，保护环境，降低碳排放。 Encourage travel by mass transit to protect environment and reduce carbon emissions.


method/formula


reference value

■Tianjin Sino-Singapore Eco-city index system: ≥30% (2013), ≥90% (2020)■Tianjin Southern New Town ecological index system; ≥90%■Shenzhen Guangming New District Green New Town construction index system: ≥80% (2015)■Weifang BEDA eco-construction index system: ≥80%■Wuxi Taihu New Town National Low-carbon Eco-city Demonstration Area planning index system: ≥80%■Changsha Meixi Lake Eco-city index system: Mass transit≥40% , non-motorized traffic≥40%■China low-carbon eco-city evaluation index system: ≥80%


reference value

■ 库里蒂巴： 71% ■Curitiba: 71%

■ 斯德哥尔摩： 53% ■Stockholm: 53%

■ 阿姆斯特丹： 66.1% ■Amsterdam: 66.1%

5

Total number of travelsNo. of low-carbon travels of residents in the area

* 100%Low-carbon travel ratio =

于家堡金融区低碳城镇指标体系Yujiapu Financial District Low-Carbon Town Index System绿色交通 | 公共交通系统换乘距离 Green transport | Transfer distance of public transit system


指行人经历从一个公共交通站点下车换乘另一公共交通站点上车的水平距离。Refer to the horizontal distance a passenger covers when he/she transfers from a public transit station/stop to another.

赋值Value

公共交通系统换乘距离≤ 200米（ 2020 年） Transfer distance of public transit system≤200m (2020)

指标水平Level

国际先进 Leading in the world

减碳关联

■缩短公交换乘距离，鼓励公交出行，减少私家车出行；■Shorten public transit transfer distance, encourage travel by mass transit and reduce travel by private car; ■ 减少换成时间，增加公交运行效率。■Shorten transfer time and raise operating efficiency of mass transit.

计算方法 / 公式无 N/A

国内参照值

■Changsha Meixi Lake Eco-city plans to arrange bus stops in a service radius of 300m. 19 conventional bus stops, 9 wharves, and Meixihu West Station, Luyunlu Station and Culture & Arts Center Station of Metro Line 2 are in the plan. Besides, around metro stations, convenient transfer connections are arranged (between metro and conventional bus, metro and walk, and metro and bicycle). ■Hong Kong subway network has 13 interchange stations. 9 of them can realize transfer on a same platform. The transfer time is only 15s. Each day, 45 million people take subway, same or similar to the metro passenger traffic of many tier-1 cities in mainland China, but even if at peak hours, crowding is seldom seen in Hong Kong, as seen in Beijing, Shanghai and Guangzhou.

国际参照值 ■The metro transfer distance is short in Tokyo, Osaka and Nagoya. Almost all passengers transfer in a same station.

5

于家堡金融区低碳城镇指标体系Yujiapu Financial District Low-Carbon Town Index System低碳经济 | 大型公共建筑碳盘查率Low-carbon economy | Carbon emission investigation rate of large public

buildings


进行 ISO14064 温室气体盘查的公共建筑的比率，以百分数表示。Ratio of the public buildings receiving ISO14064 GHG emission investigation, expressed with percentage.

赋值Value

大型公共建筑碳盘查率 80% （ 2020 年）Carbon emission investigation rate of large public buildings: 80% (2020)

指标水平Level



■ 为碳交易做准备； ■ Prepare for carbon trading;

■推动低碳城市可持续发展。 ■ Promote sustainable development of low-carbon cities.


method/formula


reference value无 N/A



5

Carbon emission investigation rate of large public buildings = Total number of public buildings

No. of public buildings receiving ISO14064 GHG emission investigation* 100%

于家堡金融区低碳城镇指标体系Yujiapu Financial District Low-Carbon Town Index System低碳经济 | 大型公共建筑参与碳交易的比例Low-carbon economy | Carbon trading participation ratio of

large public buildings


参与碳排放权交易的大型公共建筑的数量占大型公共建筑总量的比率，以百分数表示。Ratio of the number of large public building participating in carbon emission trading to the total number of large public buildings, expressed with percentage.

赋值Value

大型公共建筑参与碳交易的比例 80% （ 2030 年）Carbon trading participation ratio of large public buildings : 80% (2030)

指标水平Level



■ 有效示范建筑碳交易； ■ Set a good example for carbon trading of buildings;

■引导活跃碳交易市场。　■ Guide and activate carbon trading market.


method/formula国内参照值

Domestic reference value

无 N/A



5

Carbon trading participation ratio of large public buildings = Total number of large public buildings

No. of large public building participating in carbon emission trading* 100%

于家堡金融区低碳城镇指标体系Yujiapu Financial District Low-Carbon Town Index System智慧城市 | 智能交通覆盖率 Smart city | Coverage rate of intelligent

transport


智能交通覆盖率指区域交通系统内具有道路监控、交通管理信息系统及停车管理信息系统的交通网点数量占全区交通网点总数的比例，以百分数表示。Coverage rate of intelligent transport refers to the ratio of the number of traffic outlets with road monitoring, traffic management information system and parking management information system to the total number of traffic outlets in the area. The unit is percentage.

赋值Value

智能交通覆盖率 100% （ 2020 年） Coverage rate of intelligent transport: 100% (2020)

指标水平Level



■智能引导分流车辆； ■Intelligently guide and divert vehicle traffic; ■优化机动车交通，降低交通碳排放； ■Optimize motor vehicle traffic to lower carbon emissions of traffic; ■引导停车，减少拥堵，降低交通碳排放。■Guide parking to mitigate traffic congestion and lower carbon emissions of traffic.


method/formula





5

Coverage rate of intelligent transport =Total number of traffic outlets in the area

No. of intelligent traffic outlets in the transport system of the area* 100%

于家堡金融区低碳城镇指标体系的分解与路径6Decomposition and Strategy of Yujiapu Financial District Low-Carbon Town Index System

于家堡金融区低碳城镇指标体系Yujiapu Financial District Low-Carbon Town Index System绿色建筑 | 绿色建筑比例 Green building | Ratio of green

buildings指标赋值Value

100%，且二星以上 70%100%, above 70% for buildings at or above 2 stars

指标水平Level


指标分解Decomposition

■In built-up areas, all buildings are green buildings and above 70% of the buildings are at or above 2 stars; ■Green construction ratio of buildings: 100%; ■Intelligent ratio of buildings: 100%.

低碳路径Low-carbon

path

■All conform to general indexes of green buildings: National standard ①“Evaluation Standard for Green Building”; Local standard “Tianjin Evaluation ②Standard for Green Building”; ■Evaluation of super high-rise green buildings: Comply with “Technical Rules for Evaluation of Green Super High-rise Building”;

■Super high-rise buildings: Select a structural system and reduce the use of reinforced concrete; Reduce light pollution of curtain ① ②wall; Usage rate of energy-feedback elevators in super high-rise buildings: 100%; Setting ratio of fresh air heat recovery: 100%; ③ ④

High-performance building curtain wall enclosure system; Control of buildings with sheer glass curtain wall (Tianjin Regulations for ⑤ ⑥Planning Management); Control of window-wall ratio in the south or other directions for super high-rise buildings; Raise system ⑦ ⑧energy efficiency of public buildings and adopt energy-efficient equipment; Attach importance to green acceptance and energy system ⑨commissioning and management; ■Formulate a special plan for green buildings and encourage green evaluation according to international standards (such as: LEED and BREEAM).

6

Ratio of high-star

green buildings

Index decomposition

Path/strategy

In built-up areas, all buildings are green buildings

Above 70% of the buildings are at or above 2 stars

Green construction ratio of buildings: 100%; intelligent ratio of buildings: 100%.

All conform to general indexes of green buildings: 1. National standard “Evaluation Standard for Green Building”; 2. Local standard “Tianjin Evaluation Standard for Green Building”;

Evaluation of super high-rise green buildings: “Technical Rules for Evaluation of Green Super High-rise Building”

Construction of hardware facilities

Characteristic indexes for super high-rise green buildings

Select a structural system and reduce the use of reinforced concrete

Reduce light pollution of curtain wall

Usage rate of energy-feedback elevators in super high-rise buildings: 100%

Setting ratio of fresh air heat recovery: 100%

High-performance building curtain wall enclosure systemControl of buildings with sheer glass curtain wall (Tianjin Regulations for Planning Management)Control of window-wall ratio in the south or other directions for super high-rise buildings

Raise system energy efficiency of public buildings and adopt energy-efficient equipment

Attach importance to green acceptance and energy system commissioning and management

于家堡金融区低碳城镇指标体系Yujiapu Financial District Low-Carbon Town Index System立体城市 | 地下空间利用率 3D city | Underground space utilization

rate指标赋值Value

≥100%

指标水平Level

国际领先Leading in the world


■Connectivity rate of underground garages: 100%; ■Parking ratio of underground garages: 90%; ■Connectivity rate between underground rail transit stations and buildings above them: 100%; ■Connectivity rate between above-ground landscape parks and underground commerce and transport: 100%■Ratio of underground commercial space: 50%;


path

■Utilization of multilevel underground space: Spatial multilevel underground development; ■Comprehensive utilization of multifunction underground space; the functions cover transportation, commerce and municipal services.

6

Underground space

utilization rate

Index decomposition

Path/strategy

Connectivity rate of underground garages: 100%

Parking ratio of underground garages: 90%

Connectivity rate between underground rail transit stations and buildings above them: 100%

Connectivity rate between above-ground landscape parks and underground commerce and transport: 100%

Ratio of underground commercial space: 50%

Utilization of multilevel underground space: Spatial multilevel underground development

Comprehensive utilization of multifunction underground space; the functions cover transportation, commerce and municipal services

于家堡金融区低碳城镇指标体系Yujiapu Financial District Low-Carbon Town Index System低碳经济 | 大型公共建筑碳盘查率 Low-carbon economy | Carbon emission investigation rate

of large public buildings指标赋值

Value≥80%

指标水平

Level国内首提

Put forth in the first time in China


■The popularity rate of carbon emission investigation technology among large public buildings is 90% or above; ■Ratio of the number of technicians for carbon emission investigation of large public buildings to total number of people: ≥10%.


path

■Intensify publicity and education of GHG emission reduction; ■Strengthen training of GHG emission investigators and form a technical team;■Encourage enterprises to adopt GHG audit conducted by a third-party certification institution; ■Strengthen the unity and renewal of quantitative technical standards.

6

Carbon emission

investigation rate of large

public buildings

Index decomposi

tion

Path/strategy

The popularity rate of carbon emission investigation technology among large public buildings is 90% or aboveRatio of the number of technicians for carbon emission investigation of large public buildings to total number of people: ≥10%.

Intensify publicity and education of GHG emission reduction

Strengthen training of GHG emission investigators and form a technical team

Encourage enterprises to adopt GHG audit conducted by a third-party certification institution

Strengthen the unity and renewal of quantitative technical standards

于家堡金融区低碳城镇指标体系Yujiapu Financial District Low-Carbon Town Index System低碳经济 | 大型公共建筑参与碳交易的比例Low-carbon economy | Carbon trading participation ratio of large public buildings

指标赋值Value

≥80%

指标水平Level

国内首提Put forth in the first time in China


■Coverage rate of e-trading of carbon trading platforms: 100%; ■Carbon trading participation ratio of enterprises annually emitting more than 20,000t of carbon on average: 100%.


path

■Establish a scientific quota distribution system, adopt an electronic system and prevent power rent-seeking; ■Encourage voluntary emission trading■Collect carbon tax from enterprises with high emissions; ■Establish a trading platform and announce and supervise trading information; ■Establish a system of qualification verification and management by third-party certification institution. ■Track international standards and guide local authorities to supplement standards and technical codes according to national conditions.

6

Carbon trading participation ratio of large

public buildings

Index decompositi

on

Path/strategy

CER correlation

Make use of carbon emission trading market, promote carbon capitalization and guide and encourage low-carbon development of enterprises

Coverage rate of e-trading of carbon trading platforms: 100%;

Carbon trading participation ratio of enterprises annually emitting more than 20,000t of carbon on average: 100%.

Quota distribution

systemAdopt an electronic system and prevent power rent-seeking

Establish a trading system and platform

A third-party certification institution audits the reports on carbon emission investigation of large public buildings and issues certification reports

Announce and supervise trading informationEstablish a system of qualification verification and management by a third-party certification institution

Normalize technical standards Normalize technical standards

Track international standards

Formulate local supplementary standards and technical codes according to national conditions

于家堡金融区低碳城镇指标体系实施7Implementation and Evaluation of Yujiapu Financial District Low-Carbon Town Index System

实施路径实施政策Implementation path

Implementation policy

于家堡金融区低碳城镇指标体系实施与评估 7指标体系的实施路径

低碳能源

低碳交通

低碳建筑

公共服务事业

低碳系统管理

低碳技术展示

Low-carbonenergy

Low-carbontransport

Low-carbonconstruction

Public service

Low-carbon system

management

Display of low-carbon technologies

Riverside park · low-carbon culture

North park · low-carbon transport

Perception building · low-carbon innovation

Riverside park · zero-carbon center

Centralized energy supply Total amount control

Economic leverage

Bus support

Rail backup

Advocate non-motorized traffic

Mixed functions

Regional planning

Individual building

“Builders’ home”

Publicize low-carbon city

Advocate low-carbon life

Building system

Energy management system

Transport system

Public service system

Security system

于家堡金融区低碳城镇指标体系实施与评估 7指标体系在低碳城市规划控制中的应用——建筑能耗控制与碳交易

楼宇 A 楼宇 B 楼宇 C

碳排放审查

碳交易

楼宇 A

-77.12%

建筑减排42.8万吨

居住建筑： 80kwh/ ㎡∙ a

办公建筑： 110kwh/ ㎡∙ a

碳排放量控制图

碳量计算

建筑能耗控制与碳交易

Building energy consumption control and carbon trading

Building A

carbon calculation

carbon emission control chart

carbon emission investigation

carbon trading

Building energy consumption control and carbon trading

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Documents

于家堡金融区 低碳城镇 指标体系 Yujiapu Financial District Low-Carbon Town Index System

于家堡金融区低碳城镇指标体系 Yujiapu Financial District Low-Carbon Town Index System