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  The time spent searching for free parking spaces can produce considerable environmental pollution. Information on parking availability can be a powerful instrument for reducing these search costs. This paper develops a demand assignment model to evaluate the benefits of manipulating information with the objective of reducing the time and distances involved in finding a parking-place; including the walking distances involved. Using the full search procedure it was found that improvements of some 10% in efficiency could be achieved, but only at high computational costs. A genetic algorithm was programmed that increases the possibility of finding the optimum information conditions that can be translated into lower emissions
   
content link: http://www.sciencedirect.com/science?_ob=ArticleURL&_udi=B6VH8-4YM4FHS-1&_user=10&_coverDate=03%2F15%2F2010&_rdoc=1&_fmt=high&_orig=search&_sort=d&_docanchor=&view=c&_acct=C000050221&_version=1&_urlVersion=0&_userid=10&md5=0a07b42001a6f2ea19800b53ea42dbed
   
content language: English
English summary: no
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project type
National projects 
area of interest
 environmental & societal issues
 intelligent transport systems
 infrastructure management
 MOBILITY & TRANSPORT
user type
research labs 
city authorities 
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created: Rok Rudolf, 31.03.2010 14:07:14
last modified: Rok Rudolf, 07.04.2010 15:31:32