Geocomputation and Urban Planning

Geocomputation and Urban Planning edited by Beniamino Murgante, Giuseppe Borruso, Alessandra Lapucci.

Sixteen years ago, Franklin estimated that about 80% of data contain geo-referenced information. To date, the availability of geographic data and information is growing, together with the capacity of users to operate with IT tools and instruments. Spatial data infrastructures are growing and allow a...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Murgante, Beniamino (Editor), Borruso, Giuseppe (Editor), Lapucci, Alessandra (Editor)
Format: eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2009.
Edition:1st ed. 2009.
Series:Studies in Computational Intelligence, 176
Springer eBook Collection.
Subjects:
Geographical information systems.
Urban geography.
Physical geography.
Applied mathematics.
Engineering mathematics.
Regional planning.
Urban planning.
Artificial intelligence.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Table of Contents:
  • Geocomputation and Urban Planning
  • Detection of Urban Socio-economic Patterns Using Clustering Techniques
  • A Tale of Two Cities: Density Analysis of CBD on Two Midsize Urban Areas in Northeastern Italy
  • Identification of “Hot Spots” of Social and Housing Difficulty in Urban Areas: Scan Statistics for Housing Market and Urban Planning Policies
  • The Town at the End of the Town: Integration and Segregation in Suburbia
  • Planning Evacuation by Means of a Multi-modal Mesoscopic Dynamic Traffic Simulation Model
  • Improving Moran’s Index to Identify Hot Spots in Traffic Safety
  • Visual Impact Assessment in Urban Planning
  • Urban Roughness Parameters Calculation in the City of Rome by Applying Analytical and Simplified Formulations: Comparison of Results
  • An Object-Oriented Model for the Sustainable Management of Evolving Spatio-temporal Information
  • GIS and LIDAR Data Analysis for the Integration of Multidimensional Indicators on Urban Morphogenesis Multi-agent Vector Based Geosimulation
  • Urban Pattern Morphology Time Variation in Southern Italy by Using Landsat Imagery
  • Predicting the Urban Spread Using Spatio-morphological Models
  • A Multi-Agent Geosimulation Infrastructure for Planning
  • A Participative Multi Agent System for Urban Sustainable Mobility.

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