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19/11/2018 1 AI Analysis of City Changes 同济大学智能规划协同创新中心 China Intelligent Urbanization Co-creation Center iCity Group

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Page 1: AI Analysis of City Changes 同济大学智能规划协同创新中心ggim.un.org/unwgic/presentations/3.1_Mr._Otthein_Herzog.pdf · 19/11/2018 1 AI Analysis of City Changes 同济大学智能规划协同创新中心

19/11/2018

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AI Analysis of City Changes

同济大学智能规划协同创新中心

China Intelligent Urbanization Co-creation Center

iCity Group

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Page 2: AI Analysis of City Changes 同济大学智能规划协同创新中心ggim.un.org/unwgic/presentations/3.1_Mr._Otthein_Herzog.pdf · 19/11/2018 1 AI Analysis of City Changes 同济大学智能规划协同创新中心

19/11/2018

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1. City Development Challenges and Artificial Intelligence

2. Analyzing and Classifying City Images with Deep Learning Methods(Work done at CIUC by iCity Group)

3. Examples

Outline

Challenges for Intelligent Cities: Activity Spheres

Energy and resource

infrastructure

Service and

attendance

Politics and

administration

Health

Education

Communication/IT

Human and

lifestyle

Urban Production

Nutrition

Environment

and climate

Transport and Logistics

Buildings and

living

Mobility

and traffic

City structure

Convergence of city

systems

Safety

Page 3: AI Analysis of City Changes 同济大学智能规划协同创新中心ggim.un.org/unwgic/presentations/3.1_Mr._Otthein_Herzog.pdf · 19/11/2018 1 AI Analysis of City Changes 同济大学智能规划协同创新中心

19/11/2018

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AI system capabilities are:

1.Reasoning, Problem Solving, Decision support

2.Knowledge Representation/Engineering

3.Learning/Big Data Analytics

4.Planning

5.Natural Language Processing

6.Perception – Pattern Recognition – Multimodal Interfaces

7.Motion and Manipulation/Robotics

8.Social Intelligence

9.Creativity

Artificial Intelligence Areas

789:;<= >?@?A<B?CD EF:G?H?;?CI JKG<II?L<K;<M

The overall research goal of Artificial Intelligence is to create technology

that allows computers and machines to function in an intelligent way.

AI system capabilities for Urban Planning are:

1.Reasoning, Problem Solving, Decision support

2.Knowledge Representation/Engineering

3.Learning/Big Data Analytics

4.Planning

5.Natural Language Processing

6.Perception – Pattern Recognition – Multimodal Interfaces

7.Motion and Manipulation/Robotics

8.Social Intelligence

9.Creativity

Artificial Intelligence Areas

789:;<= >?@?A<B?CD EF:G?H?;?CI JKG<II?L<K;<M

The overall research goal of Artificial Intelligence is to create technology

that allows computers and machines to function in an intelligent way.

Page 4: AI Analysis of City Changes 同济大学智能规划协同创新中心ggim.un.org/unwgic/presentations/3.1_Mr._Otthein_Herzog.pdf · 19/11/2018 1 AI Analysis of City Changes 同济大学智能规划协同创新中心

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“Traditional” Software Systems

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Knowledge-based Artificial Intelligence Systems

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Page 5: AI Analysis of City Changes 同济大学智能规划协同创新中心ggim.un.org/unwgic/presentations/3.1_Mr._Otthein_Herzog.pdf · 19/11/2018 1 AI Analysis of City Changes 同济大学智能规划协同创新中心

19/11/2018

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Learning Artificial Intelligence Systems

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Technological Innovation:

World Largest City Big Data Base constantly updatedÍÎÏÐÑÒÓÔÕÖ×ØÙÚÛÜÝÞßà áâãäåæØÙÚç

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Page 6: AI Analysis of City Changes 同济大学智能规划协同创新中心ggim.un.org/unwgic/presentations/3.1_Mr._Otthein_Herzog.pdf · 19/11/2018 1 AI Analysis of City Changes 同济大学智能规划协同创新中心

19/11/2018

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1. City Development Challenges and Artificial Intelligence

2. Analyzing and Classifying City Images with Deep Learning Methods(Work done at CIUC by iCity Group)

3. Examples

Outline

City Tree“城市树”

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Spatial Law空间规律

Page 7: AI Analysis of City Changes 同济大学智能规划协同创新中心ggim.un.org/unwgic/presentations/3.1_Mr._Otthein_Herzog.pdf · 19/11/2018 1 AI Analysis of City Changes 同济大学智能规划协同创新中心

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Ningbo

Spatial Law空间规律

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Spatial Law空间规律

Page 8: AI Analysis of City Changes 同济大学智能规划协同创新中心ggim.un.org/unwgic/presentations/3.1_Mr._Otthein_Herzog.pdf · 19/11/2018 1 AI Analysis of City Changes 同济大学智能规划协同创新中心

19/11/2018

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City Trees for 13810 world cities have been diagrammed by 2018 Jan 18至2018年已绘制13810个城市的城市树

Page 9: AI Analysis of City Changes 同济大学智能规划协同创新中心ggim.un.org/unwgic/presentations/3.1_Mr._Otthein_Herzog.pdf · 19/11/2018 1 AI Analysis of City Changes 同济大学智能规划协同创新中心

19/11/2018

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全样本 ÝÞßàáâãäåæçè13810é

Full coverage of 13810 independent built areas in the world

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Area km2

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Area2015

Area1975

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China

Brazil

Argentina

UK

Germany

France

Page 10: AI Analysis of City Changes 同济大学智能规划协同创新中心ggim.un.org/unwgic/presentations/3.1_Mr._Otthein_Herzog.pdf · 19/11/2018 1 AI Analysis of City Changes 同济大学智能规划协同创新中心

19/11/2018

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Matured成熟型

1900

Declining衰退型

201

Spouting萌芽型

435

Regional区域型

143

Rickets佝偻型

3601

Steady 成长型

2365

Rapid 发育型

831

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7种类型的城市分布

Yangtze River Delta region

Page 11: AI Analysis of City Changes 同济大学智能规划协同创新中心ggim.un.org/unwgic/presentations/3.1_Mr._Otthein_Herzog.pdf · 19/11/2018 1 AI Analysis of City Changes 同济大学智能规划协同创新中心

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� 苏州、上海、无锡、常州、南通 城镇群集聚历程Urban Agglomeration Process

1. City Development Challenges and Artificial Intelligence

2. Analyzing and Classifying City Images with Deep Learning Methods(Work done at CIUC by iCity Group)

3. Examples

Outline

Page 12: AI Analysis of City Changes 同济大学智能规划协同创新中心ggim.un.org/unwgic/presentations/3.1_Mr._Otthein_Herzog.pdf · 19/11/2018 1 AI Analysis of City Changes 同济大学智能规划协同创新中心

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长三角城市群 京津冀城市群

Beijing, Tianjin and Hebei city clusterYangtze River Delta city cluster

长江中游城市群 粤港澳湾区Middle Yangtze River City Cluster Guangdong, Hong Kong and Macao Bay Area

Page 13: AI Analysis of City Changes 同济大学智能规划协同创新中心ggim.un.org/unwgic/presentations/3.1_Mr._Otthein_Herzog.pdf · 19/11/2018 1 AI Analysis of City Changes 同济大学智能规划协同创新中心

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美国西海岸 美国东海岸U.S. West Coast U.S. East Coast

东京湾五大湖U.S. The Great Lakes region Tokyo Bay Area

Page 14: AI Analysis of City Changes 同济大学智能规划协同创新中心ggim.un.org/unwgic/presentations/3.1_Mr._Otthein_Herzog.pdf · 19/11/2018 1 AI Analysis of City Changes 同济大学智能规划协同创新中心

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Thank you very much for your attention!

Otthein [email protected]