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Digital Urban Modeling and Simulation

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Cover of 'Digital Urban Modeling and Simulation'

Table of Contents

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    Book Overview
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    Chapter 1 A Planning Environment for the Design of Future Cities
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    Chapter 2 Calculating Cities
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    Chapter 3 The City as a Socio-technical System: A Spatial Reformulation in the Light of the Levels Problem and the Parallel Problem
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    Chapter 4 Technology-Augmented Changes in the Design and Delivery of the Built Environment
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    Chapter 5 City Induction: A Model for Formulating, Generating, and Evaluating Urban Designs
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    Chapter 6 Sortal Grammars for Urban Design: A Sortal Approach to Urban Data Modeling and Generation
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    Chapter 7 Sort Machines
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    Chapter 8 Digital Urban Modeling and Simulation
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    Chapter 9 Simulation Heuristics for Urban Design
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    Chapter 10 Running Urban Microsimulations Consistently with Real-World Data
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    Chapter 11 Urban Energy Flow Modelling: A Data-Aware Approach
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    Chapter 12 Interactive Large-Scale Crowd Simulation
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    Chapter 13 An Information Theoretical Approach to Crowd Simulation
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    Chapter 14 Integrating Urban Simulation and Visualization
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    Chapter 15 Visualization and Decision Support Tools in Urban Planning
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    Chapter 16 Spatiotemporal Visualisation: A Survey and Outlook
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    Chapter 17 Multi-touch Wall Displays for Informational and Interactive Collaborative Space
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    Chapter 18 Testing Guide Signs’ Visibility for Pedestrians in Motion by an Immersive Visual Simulation System
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Citations

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Title
Digital Urban Modeling and Simulation
Published by
Communications in Computer and Information Science, January 2012
DOI 10.1007/978-3-642-29758-8
ISBNs
978-3-64-229757-1, 978-3-64-229758-8
Authors

Stefan Müller Arisona, Gideon Aschwanden, Jan Halatsch, Peter Wonka, Arisona, Stefan Müller, Aschwanden, Gideon, Halatsch, Jan, Wonka, Peter

Editors

Stefan Müller Arisona, Gideon Aschwanden, Jan Halatsch, Peter Wonka

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 91 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 2 2%
Professor 1 1%
Professor > Associate Professor 1 1%
Librarian 1 1%
Unknown 86 95%
Readers by discipline Count As %
Engineering 2 2%
Social Sciences 1 1%
Computer Science 1 1%
Unknown 87 96%