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Smart Economy in Smart Cities

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Cover of 'Smart Economy in Smart Cities'

Table of Contents

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    Book Overview
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    Chapter 1 Smart Economy in Smart Cities
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    Chapter 2 Ottawa: Rise of a Smart Community
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    Chapter 3 Ottawa: Rewards for a Smart City in a Global Innovation Economy
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    Chapter 4 Ottawa: Leaders’ Views on Innovation and the Smart Community
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    Chapter 5 Seizing the Initiative
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    Chapter 6 Introduction to Hong Kong’s Development
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    Chapter 7 Smart City Concept and Framework
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    Chapter 8 Assessing Hong Kong as a Smart City
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    Chapter 9 Kowloon East: Hong Kong’s New Smart CBD
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    Chapter 10 Way Forward and Conclusions
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    Chapter 11 Morgenstadt—A German View of the City of the Future
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    Chapter 12 Economic Impact of Ultraefficient Urban Manufacturing
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    Chapter 13 Holistic Value Model for Smart Cities
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    Chapter 14 Visualization for Decision-Making in Smart Cities
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    Chapter 15 Conclusion, Opportunities and Challenges
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    Chapter 16 Transforming Economy of Calicut to Smart Economy
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    Chapter 17 Marketing and Branding of Calicut as a Smart City Destination
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    Chapter 18 e-Design of Umami by Smart People for Smart Economy
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    Chapter 19 E-Urban Land Management as Business for Umami
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    Chapter 20 Making Delhi a Smart City: Economic Buoyancy with Spatial Justice
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    Chapter 21 Smart Economy in Smart Cities Varanasi India: Case of a Smart Traditional Economy of Knowledge-Based Institutional Services and Creative-Cultural Products
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    Chapter 22 From Smart Agriculture to Smart Economy: Case of Vijayawada City Region
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    Chapter 23 Smart Cities, Local Community and Socioeconomic Development: The Case of Bologna
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    Chapter 24 Smart City Foundation, the Core Pillar for Smart Economic Development in Nairobi
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    Chapter 25 Infrastructure Development in Nairobi: Widening the Path Towards a Smart City and Smart Economic Development
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    Chapter 26 Social Development and Security for Smart Economic Development
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    Chapter 27 Towards Smart Economic Development in Nairobi: Evaluating Smart City Economy Impacts and Opportunities and Challenges for Smart Growth
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    Chapter 28 Smart City Foundation for Smart Economy
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    Chapter 29 Smart Infrastructure Developments for Smart Economy
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    Chapter 30 Smart City Foundation—Driver of Smart Cities
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    Chapter 31 Smart Infrastructure Development Makes Smart Cities—Promoting Smart Transport and ICT in Dakar
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    Chapter 32 Smart Social Development Key for Smart Economy
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    Chapter 33 Creating Digital, Smart Cities for Smart Economies: From Big Cities to Digital Urban Centers
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    Chapter 34 Transforming the City of Cape Town from an Apartheid City to an Inclusive Smart City
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    Chapter 35 Profile of St. Louis as an Urban Entrepreneurial City
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    Chapter 36 Challenges and Lessons Learned in Developing Smart Cities
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    Chapter 37 Smart City Leaders, Champions, and Entrepreneurs—The People Part of Vibrant Smart Cities
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    Chapter 38 Connected Innovation Neighborhoods and Innovation Districts
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    Chapter 39 Estimating the Economic Impact of Smart City Innovation Neighborhoods
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    Chapter 40 Smart Cities Are 90 % Sociology and 10 % Infrastructure
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    Chapter 41 International Collaborative Research “Smart Economy in Smart Cities” and Conclusions of Cities Case Studies
Overall attention for this book and its chapters
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Title
Smart Economy in Smart Cities
Published by
Springer Singapore, January 2017
DOI 10.1007/978-981-10-1610-3
ISBNs
978-9-81-101608-0, 978-9-81-101610-3
Editors

T. M. Vinod Kumar

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 126 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 126 100%

Demographic breakdown

Readers by professional status Count As %
Other 1 <1%
Student > Master 1 <1%
Unknown 124 98%
Readers by discipline Count As %
Environmental Science 1 <1%
Economics, Econometrics and Finance 1 <1%
Unknown 124 98%