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Computational Approaches for Urban Environments

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Cover of 'Computational Approaches for Urban Environments'

Table of Contents

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    Book Overview
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    Chapter 1 Computational Approaches for Urban Environments: An Editorial
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    Chapter 2 From Fractal Urban Pattern Analysis to Fractal Urban Planning Concepts
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    Chapter 3 Knowledge Discovery in Spatial Planning Data: A Concept for Cluster Understanding
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    Chapter 4 Clustering Contextual Neural Gas: A New Approach for Spatial Planning and Analysis Tasks
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    Chapter 5 Hedonic House Price Modeling Based on Multilevel Structured Additive Regression
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    Chapter 6 Simple Agents, Complex Emergent City: Agent-Based Modeling of Intraurban Migration
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    Chapter 7 Quantifying Urban Diversity: Multiple Spatial Measures of Physical, Social, and Economic Characteristics
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    Chapter 8 Everyday Cycling in Urban Environments: Understanding Behaviors and Constraints in Space-Time
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    Chapter 9 Performance Improvements for Large-Scale Traffic Simulation in MATSim
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    Chapter 10 Recent Advances on 2D and 3D Change Detection in Urban Environments from Remote Sensing Data
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    Chapter 11 Fusion of Airborne Hyperspectral and LiDAR Remote Sensing Data to Study the Thermal Characteristics of Urban Environments
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    Chapter 12 Modeling Urban Land Use Change: Integrating Remote Sensing with Socioeconomic Data
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    Chapter 13 Linked Activity Spaces: Embedding Social Networks in Urban Space
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    Chapter 14 Using Non-authoritative Sources During Emergencies in Urban Areas
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    Chapter 15 Towards a Comparative Science of Cities: Using Mobile Traffic Records in New York, London, and Hong Kong
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    Chapter 16 Epilogue
Attention for Chapter 9: Performance Improvements for Large-Scale Traffic Simulation in MATSim
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Citations

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58 Mendeley
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Chapter title
Performance Improvements for Large-Scale Traffic Simulation in MATSim
Chapter number 9
Book title
Computational Approaches for Urban Environments
Published by
Springer, Cham, January 2015
DOI 10.1007/978-3-319-11469-9_9
Book ISBNs
978-3-31-911468-2, 978-3-31-911469-9
Authors

Rashid A. Waraich, David Charypar, Michael Balmer, Kay W. Axhausen, Waraich, Rashid A., Charypar, David, Balmer, Michael, Axhausen, Kay W.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
United Arab Emirates 1 2%
France 1 2%
Switzerland 1 2%
Unknown 54 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 29%
Student > Master 11 19%
Student > Bachelor 5 9%
Researcher 4 7%
Professor > Associate Professor 4 7%
Other 8 14%
Unknown 9 16%
Readers by discipline Count As %
Engineering 21 36%
Computer Science 17 29%
Economics, Econometrics and Finance 2 3%
Immunology and Microbiology 1 2%
Arts and Humanities 1 2%
Other 5 9%
Unknown 11 19%