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		<title>Soumahoro Selod 2020a - Revision history</title>
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		<updated>2026-05-11T03:59:23Z</updated>
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		<id>http://www.colloquiam.com/wd/index.php?title=Soumahoro_Selod_2020a&amp;diff=181500&amp;oldid=prev</id>
		<title>Scipediacontent: Scipediacontent moved page Draft Content 805602305 to Soumahoro Selod 2020a</title>
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				<updated>2021-01-21T12:03:23Z</updated>
		
		<summary type="html">&lt;p&gt;Scipediacontent moved page &lt;a href=&quot;/public/Draft_Content_805602305&quot; class=&quot;mw-redirect&quot; title=&quot;Draft Content 805602305&quot;&gt;Draft Content 805602305&lt;/a&gt; to &lt;a href=&quot;/public/Soumahoro_Selod_2020a&quot; title=&quot;Soumahoro Selod 2020a&quot;&gt;Soumahoro Selod 2020a&lt;/a&gt;&lt;/p&gt;
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				&lt;td colspan='1' style=&quot;background-color: white; color:black; text-align: center;&quot;&gt;← Older revision&lt;/td&gt;
				&lt;td colspan='1' style=&quot;background-color: white; color:black; text-align: center;&quot;&gt;Revision as of 12:03, 21 January 2021&lt;/td&gt;
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		<author><name>Scipediacontent</name></author>	</entry>

	<entry>
		<id>http://www.colloquiam.com/wd/index.php?title=Soumahoro_Selod_2020a&amp;diff=181499&amp;oldid=prev</id>
		<title>Scipediacontent: Created page with &quot; == Abstract ==  This paper reviews the emerging big data literature applied to urban transportation issues from the perspective of economic research. It provides a typology o...&quot;</title>
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				<updated>2021-01-21T12:03:20Z</updated>
		
		<summary type="html">&lt;p&gt;Created page with &amp;quot; == Abstract ==  This paper reviews the emerging big data literature applied to urban transportation issues from the perspective of economic research. It provides a typology o...&amp;quot;&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;&lt;br /&gt;
== Abstract ==&lt;br /&gt;
&lt;br /&gt;
This paper reviews the emerging big data literature applied to urban transportation issues from the perspective of economic research. It provides a typology of big data sources relevant to transportation analyses and describes how these data can be used to measure mobility, associated externalities, and welfare impacts. As an application, it showcases the use of daily traffic conditions data in various developed and developing country cities to estimate the causal impact of stay-at-home orders during the Covid-19 pandemic on traffic congestion in Bogota, New Dehli, New York, and Paris. In light of the advances in big data analytics, the paper concludes with a discussion on policy opportunities and challenges.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== Original document ==&lt;br /&gt;
&lt;br /&gt;
The different versions of the original document can be found in:&lt;br /&gt;
&lt;br /&gt;
* [http://documents.worldbank.org/curated/en/144551593524811620/pdf/Big-Data-in-Transportation-An-Economics-Perspective.pdf http://documents.worldbank.org/curated/en/144551593524811620/pdf/Big-Data-in-Transportation-An-Economics-Perspective.pdf]&lt;br /&gt;
&lt;br /&gt;
* [http://dx.doi.org/10.1596/1813-9450-9308 http://dx.doi.org/10.1596/1813-9450-9308]&lt;br /&gt;
&lt;br /&gt;
* [https://openknowledge.worldbank.org/handle/10986/34023 https://openknowledge.worldbank.org/handle/10986/34023],&lt;br /&gt;
: [https://ideas.repec.org/p/wbk/wbrwps/9308.html https://ideas.repec.org/p/wbk/wbrwps/9308.html],&lt;br /&gt;
: [https://academic.microsoft.com/#/detail/3039019727 https://academic.microsoft.com/#/detail/3039019727]&lt;/div&gt;</summary>
		<author><name>Scipediacontent</name></author>	</entry>

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