Reference : The Cost of Environmental Constraints in Traffic Networks: Assessing the Loss of Opti...
Scientific journals : Article
Engineering, computing & technology : Civil engineering
http://hdl.handle.net/10993/16490
The Cost of Environmental Constraints in Traffic Networks: Assessing the Loss of Optimality
English
Lin, Xin mailto []
Tampere, Chris MJ mailto []
Viti, Francesco mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >]
Immers, Lambertus H []
2016
Networks & Spatial Economics
Springer Science & Business Media B.V.
Yes
International
1566-113X
[en] Traffic pollution ; Network Design Problem ; Environmental Constraint ; Bi-level Programming ; Second Best ; Impact Assessment
[en] Increasing numbers of hard environmental constraints are being imposed in urban traffic networks by authorities in an attempt to mitigate pollution caused by traffic. However, it is not trivial for authorities to assess the cost of imposing such hard environmental constraints. This leads to difficulties when setting the constraining values as well as implementing effective control measures. For that reason, quantifying the cost of imposing hard environmental constraints for a certain network becomes crucial. This paper first indicates that for a given network, such cost is not only related to the attribution of environmental constraints but also related to the considered control measures. Next, we present an assessment criterion that quantifies the loss of optimality under the control measures considered by introducing the environmental constraints. The criterion can be acquired by solving a bi-level programming problem with/without environmental constraints. A simple case study shows its practicability as well as the differences between this framework and other frameworks integrating the environmental aspects. This proposed framework is widely applicable when assessing the interaction of traffic and its environmental aspects
Researchers
http://hdl.handle.net/10993/16490

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