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Planning Support Systems and Smart Cities

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Cover of 'Planning Support Systems and Smart Cities'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Introduction to ‘Planning Support Systems and Smart Cities’
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    Chapter 2 Development and Operation of Social Media GIS for Disaster Risk Management in Japan
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    Chapter 3 The Role of Social Media Geographic Information (SMGI) in Spatial Planning
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    Chapter 4 Data and Analytics for Neighborhood Development: Smart Shrinkage Decision Modeling in Baltimore, Maryland
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    Chapter 5 Managing Crowds: The Possibilities and Limitations of Crowd Information During Urban Mass Events
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    Chapter 6 Simulating Urban Resilience: Disasters, Dynamics and (Synthetic) Data
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    Chapter 7 Data Integration to Create Large-Scale Spatially Detailed Synthetic Populations
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    Chapter 8 Smart Cities: Concepts, Perceptions and Lessons for Planners
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    Chapter 9 Who’s Smart? Whose City? The Sociopolitics of Urban Intelligence
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    Chapter 10 Knowledge-Mining the Australian Smart Grid Smart City Data: A Statistical-Neural Approach to Demand-Response Analysis
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    Chapter 11 Urban Emotions: Benefits and Risks in Using Human Sensory Assessment for the Extraction of Contextual Emotion Information in Urban Planning
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    Chapter 12 Leveraging Cellphones for Wayfinding and Journey Planning in Semi-formal Bus Systems: Lessons from Digital Matatus in Nairobi
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    Chapter 13 The Australian Urban Intelligence Network Supporting Smart Cities
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    Chapter 14 Smart Governance, Collaborative Planning and Planning Support Systems: A Fruitful Triangle?
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    Chapter 15 Sentient PSS for Smart Cities
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    Chapter 16 Gaming, Urban Planning and Transportation Design Process
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    Chapter 17 The Everyone City: How ICT-Based Participation Shapes Urban Form
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    Chapter 18 Usability of Planning Support Systems: An Evaluation Framework
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    Chapter 19 Facilitating PSS Workshops: A Conceptual Framework and Findings from Interviews with Facilitators
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    Chapter 20 Planning Support Systems and Smart Cities
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    Chapter 21 Virtual Worlds as Support Tools for Public Engagement in Urban Design
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    Chapter 22 Recoding Embedded Assumptions: Adaptation of an Open Source Tool to Support Sustainability, Transparency and Participatory Governance
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    Chapter 23 Monitoring and Visualising Sub-national Migration Trends in the United Kingdom
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    Chapter 24 Urban Data and Building Energy Modeling: A GIS-Based Urban Building Energy Modeling System Using the Urban-EPC Engine
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    Chapter 25 MassDOT Real Time Traffic Management System
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    Chapter 26 Planning Support Systems and Smart Cities
Attention for Chapter 13: The Australian Urban Intelligence Network Supporting Smart Cities
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Chapter title
The Australian Urban Intelligence Network Supporting Smart Cities
Chapter number 13
Book title
Planning Support Systems and Smart Cities
Published by
Springer International Publishing, May 2015
DOI 10.1007/978-3-319-18368-8_13
Book ISBNs
978-3-31-918367-1, 978-3-31-918368-8
Authors

Pettit, Christopher J., Barton, John, Goldie, Xavier, Sinnott, Richard, Stimson, Robert, Kvan, Tom, Christopher J. Pettit, John Barton, Xavier Goldie, Richard Sinnott, Robert Stimson, Tom Kvan

Editors

Stillwell, John, Goodspeed, Robert, Ferreira, Jr., Joseph, Geertman, Stan

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X Demographics

The data shown below were collected from the profile of 1 X user 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 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Australia 1 3%
Unknown 34 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 20%
Student > Ph. D. Student 7 20%
Student > Doctoral Student 3 9%
Professor 2 6%
Student > Postgraduate 2 6%
Other 6 17%
Unknown 8 23%
Readers by discipline Count As %
Social Sciences 7 20%
Computer Science 6 17%
Engineering 5 14%
Design 4 11%
Arts and Humanities 2 6%
Other 3 9%
Unknown 8 23%