Computational approaches for urban environments / edited by Marco Helbich, Jamal Jokar Arsanjani, Michael Leitner.

Springer eBooks

Computational Approaches for Urban Environments: An Editorial -- Part I Spatial Planning and Decision-Making -- From Fractal Urban Pattern Analysis to Fractal Urban Planning Concepts -- Knowledge Discovery in Spatial Planning Data: A Concept for Cluster Understanding -- Clustering Contextual Neural Gas: A New Approach for Spatial Planning and Analysis Tasks -- Part II Housing and Real Estate -- Hedonic House Price Modeling Based on Multilevel Structured Additive Regression -- Simple Agents, Complex Emergent City: Agent-Based Modeling of Intraurban Migration -- Quantifying Urban Diversity: Multiple Spatial Measures of Physical, Social and Economic Characteristics -- Part III Urban Transportation and Mobility -- Everyday Cycling in Urban Environments: Understanding Behaviors and Constraints in Space-Time -- Performance Improvements for Large-Scale Traffic Simulation in MATSim -- Part IV Remote Sensing -- Recent Advances on 2D and 3D Change Detection in Urban Environments from Remote Sensing Data -- Fusion of Airborne Hyperspectral and LiDAR Remote Sensing Data to Study the Thermal Characteristics of Urban Environments -- Modeling Urban Land Use Change: Integrating Remote Sensing with Socioeconomic Data -- Part V Urban Sensing, Social Networks and Social Media -- Linked Activity Spaces: Embedding Social Networks in Urban Space -- Using Non-authoritative Sources During Emergencies in Urban Areas -- Towards a Comparative Science of Cities: Using Mobile Traffic Records in New York, London and Hong Kong -- Epilogue.

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