<?xml version="1.0" encoding="utf-8"?><rss version="2.0"><channel><title>RSS for Geodemographic analysis and the identification of potential business partnerships enabled by transit smart cards</title><link>http://academic.research.microsoft.com/Rss.aspx?cata=9&amp;id=49482333</link><description>Search RSS feed for Microsoft Academic Search</description><generator>MSRA Libra RSS Burner</generator><copyright>(c)2008 Microsoft Corpration, All right reserved.</copyright><pubDate>Fri, 24 May 2013 06:33:49 GMT</pubDate><lastBuildDate>Fri, 24 May 2013 06:33:49 GMT</lastBuildDate><category /><item><title>Geodemographic analysis and the identification of potential business partnerships enabled by transit smart cards</title><link>http://academic.research.microsoft.com/Publication/49482333</link><pubDate>Thu, 23 May 2013 23:33:49 GMT</pubDate><guid isPermaLink="false">494823330</guid><description><![CDATA[<div><a href="http://academic.research.microsoft.com/Author/18109139">Antonio Páez</a>, <a href="http://academic.research.microsoft.com/Author/18513648">Martin Trépanier</a>, <a href="http://academic.research.microsoft.com/Author/22250433">Catherine Morency</a>:
            
            <span style="margin-left:20px" /><span style="margin-left:20px"><a href="http://www.sciencedirect.com/science/article/pii/S0965856411000607">view publication</a></span></div><div><a href='http://academic.research.microsoft.com/Keyword/38186/smart-card'>Smart card</a>  automated fare payment systems are being adopted by transit agencies around the world. The data-storage characteristics of smart cards present novel opportunities to enhance transit services. On the one hand, there are fare policies, where <a href='http://academic.research.microsoft.com/Keyword/38186/smart-card'>smart card</a>  holders are given specific rebates on the use of the service based on usage patterns or levels. On the other, there are non-fare policies, for instance if holders receive advantages, such as rebates and offers, from commercial partners. The purpose of this paper is to present a geodemographic framework to identify potential commercial partnerships that could exploit the characteristics of smart cards. The framework is demonstrated using data from Montreal, Canada. <a href='http://academic.research.microsoft.com/Keyword/18514/household-survey'>Household survey</a>  data, specifically trip ends, and business data points are jointly used to determine the exposure of various types of establishments to users of the Montreal Metro network. <a href='http://academic.research.microsoft.com/Keyword/39041/spatial-analysis'>Spatial analysis</a>  of business establishments in the neighborhood of metro stations helps to identify potential commercial partners. The results illustrate the potential of geodemographic analysis to generate intelligence of commercial interest.</div><div></div><div>Journal: <a href="http://academic.research.microsoft.com/Journal/11570">Transportation Research Part A-policy and Practice - TRANSP RES PT A-POLICY PRACT</a>, vol. 45, no. 7, pp. 640-652, 2011</div><div />]]></description></item></channel></rss>