
Planning Support Systems and Smart Cities
Springer (Publisher)
Published on 9. June 2015
Book
Hardback
XII, 512 pages
978-3-319-18367-1 (ISBN)
Description
This book is a selection of the best and peer-reviewed articles presented at the CUPUM (Computers in Urban Planning and Urban Management) conference, held in the second week of July 2015 at MIT in Boston, USA. The contributions provide state-of the art overview of the availability and application of Planning Support Systems (PSS) in the framework of Smart Cities.
More details
Series
Edition
2015
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Research
Illustrations
20 s/w Abbildungen, 106 farbige Abbildungen
XII, 512 p. 126 illus., 106 illus. in color.
Dimensions
Height: 241 mm
Width: 160 mm
Thickness: 34 mm
Weight
945 gr
ISBN-13
978-3-319-18367-1 (9783319183671)
DOI
10.1007/978-3-319-18368-8
Schweitzer Classification
Other editions
Additional editions

Stan Geertman | Jr. Ferreira | Robert Goodspeed
Planning Support Systems and Smart Cities
Book
10/2016
Springer
€160.49
Shipment within 10-15 days

Stan Geertman | Jr. Ferreira | Robert Goodspeed
Planning Support Systems and Smart Cities
E-Book
05/2015
1st Edition
Springer
€149.79
Available for download
Persons
Content
Introduction to 'Planning Support Systems and Smart Cities'.- Development and Operation of Social Media GIS for Disaster Risk Management in Japan.- The Role of Social Media Geographic Information (SMGI) in Spatial Planning.- Data and Analytics for Neighborhood Development: Smart Shrinkage Decision Modeling in Baltimore, Maryland.- Managing Crowds: The Possibilities and Limitations of Crowd Information During Urban Mass Events.- Simulating Urban Resilience: Disasters, Dynamics and (Synthetic) Data.- Data Integration to Create Large-Scale Spatially Detailed Synthetic Populations.- Smart Cities: Concepts, Perceptions and Lessons for Planners.- Who's Smart? Whose City? The Sociopolitics of Urban Intelligence.- Knowledge-Mining the Australian Smart Grid Smart City Data: A Statistical-Neural Approach to Demand-Response Analysis.