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A bilevel mathematical programming model to optimize the design of cycle paths

Abstract: In this article, we present a methodology to simultaneously modelize car, bus, and bicycle transport modes, considering the interactions among the three modes through the modelling of the modal split and the network assignment of the different travels of each mode. Later, this model was utilized to optimize the design of cycling paths network to achieve an efficient and sustainable transport system. The proposed methodology has two levels. In the lower level there is a transport network, over which cars users, bus passengers and bicycles users could be simulated at the same time Applied to this is a combined model (modal split-assignment model) with its inputs come from a global matrix (car, bus and bicycle trips). The Multinomial Logit model for modal split and network assignment models will follow an iterative process, to provide the final matrices and service variables for each mode of transport. Finally, in the upper level, an optimization model has been developed, based on bilevel mathematical programming. The objective is to optimize the design of cycling paths, determining which typology of bike lane will be the optimal for each street. For this specific model, we considered only three typologies (segregated, non-segregated, and no bike lane). The optimization criteria utilized aims to maximize the number of cycling users. These have been applied to the real scenario of the city of Santander (Spain).

Other conference communications or articles related to authors from the University of Cantabria

 Congress: Euro Working Group on Transportation (18th : 2015 : Delft)

 Publisher: Elsevier

 Year of publication: 2015

 No. of pages: 10

 Publication type: Comunicación a Congreso

 DOI: 10.1016/j.trpro.2015.09.092

 ISSN: 2352-1465,2352-1457

 Spanish project: TRA2012-39466-C02-02

 Publication Url: http://dx.doi.org/10.1016/j.trpro.2015.09.092

Authorship

IÑAKI GASPAR ERBURU

MARIA BORDAGARAY AZPIAZU

ANGEL IBEAS PORTILLA