RT info:eu-repo/semantics/conferenceObject
T1 The gravity model as a tool for decision making. Some highlights for Indian roads
A1 Martínez-Alvaro, Oscar
A1 García, Jose Manuel
A1 Kumar, Narender
K1 Modelización
K1 Modelling
K1 Simulación
K1 Simulation
K1 Ingeniería civil
K1 Civil engineering
K1 Transportes
K1 Transportation
K1 Vías terrestres
K1 Roads
AB For many decades, there have been plenty of analyses all over the world about therelationship between socio-economic attributes and transport flows. One of the most fruitfultools is the gravity model, in the beginning used for road transport, but recently widely usedfor air transport and international trade.India is an outstanding example of complexity, with a mixture of megapolises and vast ruralareas. Its road network shows plenty of six and four lane expressways spanning hundreds ofkilometers, complemented by a dense web of State and local secondary and tertiary links.In the last decades, National and State Governments have improved vast tracts of roads, butthere is still a huge gap. Investment priorities are usually decided on the ground of existingcongestion or strategic issues, but not much on demand analyses.For ascertaining whether in India socio-economic structure and transport flows follow acommon pattern, complete corridor OD matrices were calibrated from partial screenmatrices for a sample of long-distance corridors (NH-1, NH-6, NH-8, NH-58, NH-73). Thesematrices were later analyzed by means of gravity models that included parameters such aspopulation or GDP per district (as zone attributes) and road distance among district centroids(as friction factors). Several formulae were tested, and the best fit was selected.Results for main corridors are rather homogeneous, and rather consistent with researchcarried out in other countries. Simple formulae have a high explanatory capacity, even if thehuge mega-cities of Delhi and Mumbai are included in the analysis. But results for ruralcorridors are much less consistent, probably due to a less mature structure in terms of spatialdistribution and transport relationships.
PB Universidad de Burgos. Servicio de Publicaciones e Imagen Institucional
SN 978-84-18465-12-3
YR 2021
FD 2021-07
LK http://hdl.handle.net/10259/6924
UL http://hdl.handle.net/10259/6924
LA eng
NO 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
NO The research work described in this paper has been funded by TOOL ALFA, S.L. (Spain), parent company of TOOL ALFA CONSULTANTS, Pvt. Ltd. (India.)
DS Repositorio Institucional de la Universidad de Burgos
RD 22-dic-2024