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浏览/检索结果: 共6条，第1-6条 帮助 限定条件 专题：中南大学    第一署名单位    第一作者单位    通讯作者单位     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Multimodal Green Logistics Network Design of Urban Agglomeration with Stochastic Demand 期刊论文 Journal of Advanced Transportation, 2019, 卷号: 2019 作者:  Jiang, Jiehui;  Zhang, Dezhi;  Li, Shuangyan;  Liu, Yajie* 收藏  |  浏览/下载：7/0  |  提交时间：2019/12/03 Joint optimization of green vehicle scheduling and routing problem with time-varying speeds 期刊论文 PLOS ONE, 2018, 卷号: 13, 期号: 2, 页码: e0192000 作者:  Zhang, Dezhi;  Wang, Xin;  Li, Shuangyan*;  Ni, Nan;  Zhang, Zhuo 收藏  |  浏览/下载：4/0  |  提交时间：2019/12/03 Carbon dioxide,Salaries,Fuels,Roads,Optimization,Algorithms,Transportation,Genetic algorithms   Joint optimization of logistics infrastructure investments and subsidies in a regional logistics network with CO2 emission reduction targets 期刊论文 Transportation Research Part D: Transport and Environment, 2018, 卷号: 60, 页码: 174-190 作者:  Zhang, Dezhi;  Zhan, Qingwen;  Chen, Yuche;  Li, Shuangyan* 收藏  |  浏览/下载：3/0  |  提交时间：2019/12/03 Regional logistics network  Bi-level model  Logistics infrastructure investment  Subsidies for green transport modes  CO2 emission reduction target   Green supply chain network design with economies of scale and environmental concerns 期刊论文 Journal of Advanced Transportation, 2017, 卷号: 2017 作者:  Zhang, Dezhi;  Zou, Fangzi;  Li, Shuangyan*;  Zhou, Lingyun 收藏  |  浏览/下载：3/0  |  提交时间：2019/12/03 Urban Rail Transit Risk Evaluation with Incomplete Information 期刊论文 Procedia Engineering, 2016, 卷号: 137, 页码: 467-477 作者:  Hu, Xiaoping;  Li, Xiamiao;  Huang, Yin* 收藏  |  浏览/下载：3/0  |  提交时间：2019/12/03 hazard evaluation  classification  incomplete information  Dempster-Shafer theory  extension theory  analytic hierarchy process   Multilevel Comprehensive Evaluation of the Railway Service Quality 期刊论文 Procedia Engineering, 2016, 卷号: 137, 页码: 21-30 作者:  Eboli, Laura;  Fu, Yanbing*;  Mazzulla, Gabriella 收藏  |  浏览/下载：5/0  |  提交时间：2019/12/03 railway  service quality  multilevel fuzzy evaluation