<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-06-09T19:29:52Z</responseDate><request verb="GetRecord" identifier="oai:riubu.ubu.es:10259/6924" metadataPrefix="marc">https://riubu.ubu.es/oai/request</request><GetRecord><record><header><identifier>oai:riubu.ubu.es:10259/6924</identifier><datestamp>2024-05-20T07:06:30Z</datestamp><setSpec>com_10259.4_104</setSpec><setSpec>com_10259_2604</setSpec><setSpec>col_10259_6848</setSpec></header><metadata><record xmlns="http://www.loc.gov/MARC21/slim" xmlns:doc="http://www.lyncode.com/xoai" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dcterms="http://purl.org/dc/terms/" xsi:schemaLocation="http://www.loc.gov/MARC21/slim http://www.loc.gov/standards/marcxml/schema/MARC21slim.xsd">
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<subfield code="a">dc</subfield>
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<subfield code="a">Martínez-Alvaro, Oscar</subfield>
<subfield code="e">author</subfield>
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<subfield code="a">García, Jose Manuel</subfield>
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<subfield code="a">Kumar, Narender</subfield>
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<subfield code="c">2021-07</subfield>
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<subfield code="a">For many decades, there have been plenty of analyses all over the world about the&#xd;
relationship between socio-economic attributes and transport flows. One of the most fruitful&#xd;
tools is the gravity model, in the beginning used for road transport, but recently widely used&#xd;
for air transport and international trade.&#xd;
India is an outstanding example of complexity, with a mixture of megapolises and vast rural&#xd;
areas. Its road network shows plenty of six and four lane expressways spanning hundreds of&#xd;
kilometers, complemented by a dense web of State and local secondary and tertiary links.&#xd;
In the last decades, National and State Governments have improved vast tracts of roads, but&#xd;
there is still a huge gap. Investment priorities are usually decided on the ground of existing&#xd;
congestion or strategic issues, but not much on demand analyses.&#xd;
For ascertaining whether in India socio-economic structure and transport flows follow a&#xd;
common pattern, complete corridor OD matrices were calibrated from partial screen&#xd;
matrices for a sample of long-distance corridors (NH-1, NH-6, NH-8, NH-58, NH-73). These&#xd;
matrices were later analyzed by means of gravity models that included parameters such as&#xd;
population or GDP per district (as zone attributes) and road distance among district centroids&#xd;
(as friction factors). Several formulae were tested, and the best fit was selected.&#xd;
Results for main corridors are rather homogeneous, and rather consistent with research&#xd;
carried out in other countries. Simple formulae have a high explanatory capacity, even if the&#xd;
huge mega-cities of Delhi and Mumbai are included in the analysis. But results for rural&#xd;
corridors are much less consistent, probably due to a less mature structure in terms of spatial&#xd;
distribution and transport relationships.</subfield>
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<subfield code="a">978-84-18465-12-3</subfield>
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<subfield code="a">http://hdl.handle.net/10259/6924</subfield>
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<subfield code="a">10.36443/10259/6924</subfield>
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<subfield code="a">Modelización</subfield>
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<subfield code="a">Simulación</subfield>
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<subfield code="a">Modelling</subfield>
</datafield>
<datafield ind1=" " ind2=" " tag="653">
<subfield code="a">Simulation</subfield>
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<datafield tag="245" ind1="0" ind2="0">
<subfield code="a">The gravity model as a tool for decision making. Some highlights for Indian roads</subfield>
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