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Creating Low Carbon Cities

Overview of attention for book
Cover of 'Creating Low Carbon Cities'

Table of Contents

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    Book Overview
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    Chapter 1 Challenges and Opportunities for Transition to Low Carbon Cities
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    Chapter 2 Big Data, People, and Low-Carbon Cities
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    Chapter 3 Co-benefits and Co-costs of Climate Action Plans for Low-Carbon Cities
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    Chapter 4 Optimizing Water-Energy-Carbon Nexus in Cities for Low Carbon Development
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    Chapter 5 Grassroots Environmentalism and Low-Carbon Cities
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    Chapter 6 Emerging Low-Carbon Urban Mega-Projects
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    Chapter 7 Energy Consumption and Emissions Assessment in Cities: An Overview
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    Chapter 8 Low Carbon Urban Design: Potentials and Opportunities
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    Chapter 9 Toward Low Carbon Cities: The Chinese Experience
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    Chapter 10 Low-Carbon Urban Infrastructure
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    Chapter 11 Low-Carbon Waste Management
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    Chapter 12 Managing Greenhouse Gas Emissions in Cities: The Role of Inventories and Mitigation Action Planning
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    Chapter 13 Social Factors Affecting Low-Carbon Cities
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    Chapter 14 Key Drivers and Trends of Urban Greenhouse Gas Emissions
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    Chapter 15 Potential Transformation Pathways Towards Low-Carbon Cities
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    Chapter 16 Eco-Districts as a Transition Pathway to Low-Carbon Cities
Attention for Chapter 2: Big Data, People, and Low-Carbon Cities
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Citations

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Readers on

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Summary Dimensions citations
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Chapter title
Big Data, People, and Low-Carbon Cities
Chapter number 2
Book title
Creating Low Carbon Cities
Published by
Springer International Publishing, March 2017
DOI 10.1007/978-3-319-49730-3_2
Book ISBNs
978-3-31-949729-7, 978-3-31-949730-3
Authors

Paul Fleming

Editors

Shobhakar Dhakal, Matthias Ruth

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 40%
Researcher 1 20%
Unknown 2 40%
Readers by discipline Count As %
Environmental Science 1 20%
Computer Science 1 20%
Energy 1 20%
Unknown 2 40%

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