作者: Jennifer Duthie , S. Travis Waller
DOI: 10.3141/2089-08
关键词: Population 、 Network planning and design 、 Genetic algorithm 、 Travel time 、 Economics 、 Actuarial science 、 Environmental justice 、 Equity (economics) 、 Operations research 、 Traffic congestion
摘要: A new variation of the user equilibrium-discrete network design problem (UE-DNDP) is proposed for achieving environmental justice (EJ) or equity among population groups. This research motivated by federal requirement that transportation plans using money include an evaluation EJ and planning agency mitigate, where feasible, any disproportionate impacts on protected populations (i.e., minority low-income groups). Eight potential objective functions focused maximizing congestion travel time are developed discussed with regard to their applicability upper level this bilevel problem. On basis assumed knowledge origin-destination matrices group, numerical analysis conducted assess performance each formulation. The lower-level UE solved Frank-Wolfe method, because hard combinatorial nature EJ-UE-DNDP, a selectorecombinative genetic algorithm implemented...