title: An optimal hierarchical decision model for a regional logistics network with environmental impact consideration.
abstract: This paper proposes a new model of simultaneous optimization of three-level logistics decisions, for logistics authorities, logistics operators, and logistics users, for regional logistics network with environmental impact consideration. The proposed model addresses the interaction among the three logistics players in a complete competitive logistics service market with CO2 emission charges. We also explicitly incorporate the impacts of the scale economics of the logistics park and the logistics users' demand elasticity into the model. The logistics authorities aim to maximize the total social welfare of the system, considering the demand of green logistics development by two different methods: optimal location of logistics nodes and charging a CO2 emission tax. Logistics operators are assumed to compete with logistics service fare and frequency, while logistics users minimize their own perceived logistics disutility given logistics operators' service fare and frequency. A heuristic algorithm based on the multinomial logit model is presented for the three-level decision model, and a numerical example is given to illustrate the above optimal model and its algorithm. The proposed model provides a useful tool for modeling competitive logistics services and evaluating logistics policies at the strategic level.
authors: School of Traffic & Transportation Engineering, Central South University, Changsha, Hunan 410075, China.
authors: Dezhi
authors: D
authors: Zhang
authors: College of Transportation and Logistics, Central South University of Forestry and Technology, Changsha, Hunan 410004, China.
authors: Shuangyan
authors: S
authors: Li
authors: School of Traffic & Transportation Engineering, Central South University, Changsha, Hunan 410075, China.
authors: Jin
authors: 0000-0003-0745-9511
authors: J
authors: Qin
mesh_terms: D002245:Carbon Dioxide / Q000032:analysis*; D002681:China; D003198:Computer Simulation; D003661:Decision Support Techniques; D004777:Environment; D004784:Environmental Monitoring / Q000191:economics* / Q000706:statistics & numerical data; D004785:Environmental Pollutants / Q000032:analysis / Q000191:economics*; D016015:Logistic Models; D018803:Models, Economic; D001335:Vehicle Emissions / Q000032:analysis
chemical_list: D004785:Environmental Pollutants; D001335:Vehicle Emissions; D002245:Carbon Dioxide