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<dc:title>The gravity model as a tool for decision making. Some highlights for Indian roads</dc:title>
<dc:creator>Martínez-Alvaro, Oscar</dc:creator>
<dc:creator>García, Jose Manuel</dc:creator>
<dc:creator>Kumar, Narender</dc:creator>
<dc:subject>Modelización</dc:subject>
<dc:subject>Simulación</dc:subject>
<dc:subject>Modelling</dc:subject>
<dc:subject>Simulation</dc:subject>
<dc:description>Trabajo presentado en: R-Evolucionando el transporte, XIV Congreso de Ingeniería del Transporte (CIT 2021), realizado en modalidad online los días 6, 7 y 8 de julio de 2021, organizado por la Universidad de Burgos</dc:description>
<dc:description>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.</dc:description>
<dc:date>2022-09-19T11:49:24Z</dc:date>
<dc:date>2022-09-19T11:49:24Z</dc:date>
<dc:date>2021-07</dc:date>
<dc:type>info:eu-repo/semantics/conferenceObject</dc:type>
<dc:identifier>978-84-18465-12-3</dc:identifier>
<dc:identifier>http://hdl.handle.net/10259/6924</dc:identifier>
<dc:identifier>10.36443/10259/6924</dc:identifier>
<dc:language>eng</dc:language>
<dc:relation>R-Evolucionando el transporte</dc:relation>
<dc:relation>http://hdl.handle.net/10259/6490</dc:relation>
<dc:relation>https://doi.org/10.36443/9788418465123</dc:relation>
<dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
<dc:publisher>Universidad de Burgos. Servicio de Publicaciones e Imagen Institucional</dc:publisher>
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