Computational Approaches for Urban Environments

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.