title: Mixed transportation network design under a sustainable development perspective.
abstract: A mixed transportation network design problem considering sustainable development was studied in this paper. Based on the discretization of continuous link-grade decision variables, a bilevel programming model was proposed to describe the problem, in which sustainability factors, including vehicle exhaust emissions, land-use scale, link load, and financial budget, are considered. The objective of the model is to minimize the total amount of resources exploited under the premise of meeting all the construction goals. A heuristic algorithm, which combined the simulated annealing and path-based gradient projection algorithm, was developed to solve the model. The numerical example shows that the transportation network optimized with the method above not only significantly alleviates the congestion on the link, but also reduces vehicle exhaust emissions within the network by up to 41.56%.
authors.affiliation: School of Traffic and Transportation Engineering, Central South University, Changsha 410075, China. csu_qinjin@hotmail.com
authors.forename: Jin
authors.initials: J
authors.lastname: Qin
authors.forename: Ling-lin
authors.initials: LL
authors.lastname: Ni
authors.forename: Feng
authors.initials: F
authors.lastname: Shi
mesh_terms: D000393:Air Pollutants / Q000737:chemistry; D000397:Air Pollution / Q000517:prevention & control*; D000465:Algorithms; D002248:Carbon Monoxide / Q000737:chemistry; D003198:Computer Simulation; D003247:Conservation of Natural Resources / Q000191:economics / Q000379:methods*; D004738:Engineering / Q000191:economics / Q000379:methods; D008961:Models, Structural; D014186:Transportation / Q000191:economics / Q000379:methods*; D001335:Vehicle Emissions / Q000517:prevention & control
chemical_list: D000393:Air Pollutants; D001335:Vehicle Emissions; D002248:Carbon Monoxide