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<mods:namePart>Martínez-Alvaro, Oscar</mods:namePart>
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<mods:namePart>García, Jose Manuel</mods:namePart>
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<mods:namePart>Kumar, Narender</mods:namePart>
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<mods:dateAccessioned encoding="iso8601">2022-09-19T11:49:24Z</mods:dateAccessioned>
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<mods:dateAvailable encoding="iso8601">2022-09-19T11:49:24Z</mods:dateAvailable>
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<mods:dateIssued encoding="iso8601">2021-07</mods:dateIssued>
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<mods:identifier type="isbn">978-84-18465-12-3</mods:identifier>
<mods:identifier type="uri">http://hdl.handle.net/10259/6924</mods:identifier>
<mods:identifier type="doi">10.36443/10259/6924</mods:identifier>
<mods:abstract>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.</mods:abstract>
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<mods:languageTerm authority="rfc3066">eng</mods:languageTerm>
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<mods:subject>
<mods:topic>Modelización</mods:topic>
</mods:subject>
<mods:subject>
<mods:topic>Simulación</mods:topic>
</mods:subject>
<mods:subject>
<mods:topic>Modelling</mods:topic>
</mods:subject>
<mods:subject>
<mods:topic>Simulation</mods:topic>
</mods:subject>
<mods:titleInfo>
<mods:title>The gravity model as a tool for decision making. Some highlights for Indian roads</mods:title>
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