Sustainable city logistics planning under collaboration

可持续的城市物流规划对于最大限度地减少货运对城市社区生活质量和环境的负面影响至关重要。市政管理部门已经在这个方向上提出了一些可持续货运举措，例如车辆尺寸，访问“b>”尽管这些举措旨在最大限度地减少城市货物运输对环境的负面影响，但它们往往会对物流运营商的运营效率产生负面影响。例如，在城市地区限制送货车辆的规模会导致小型车辆的送货次数增加，这对物流运营商来说可能会造成更大的污染和成本。面对这些可持续性举措和有限的资源，城市物流运营商可能会与其他物流运营商合作，在城市地区市政当局实施的可持续性法规下，将配送成本降至最低。在这个研究项目中，我们研究了协作下的可持续城市物流规划问题。我们的目标是为物流运营商的协同规划开发有效的解决方案方法，设计可持续的协同配送网络，并提出协同配送的模型，以实现可持续发展的目标。由于这些是复杂的组合优化问题，将使用数学规划和基于元启发式的解决方法。模型验证将使用文献中可用的基准数据集进行。在缺乏数据的情况下，将使用随机生成的模拟数据集进行模型验证，并将得到的结果与其他标准方法进行比较。从研究和实践的角度来看，所提出的研究对于理解如何在合作下进行可持续的城市物流规划具有重要的影响。研究结果可用于物流经营者设计可持续的货物交付网络和制定可持续的合作下的货物配送策略。研究结果也可用于政策制定者和城市管理者制定考虑物流运营商交付约束的新政策。物流运营商之间的合作将最大限度地减少车辆行驶和空车移动，这也将减少拥堵、空气污染和噪音，从而提高城市地区的生活质量。该研究将在可持续城市物流规划领域培养6名高素质人才（3名博士，3名硕士），以建立加拿大在该研究领域的竞争优势。研究结果将通过高质量的会议和期刊传播，以促进拟议领域的研究进展。

Sustainable city logistics planning is vital to minimize the negative impacts of freight movements on quality of community life and environment in urban areas. Several sustainable freight initiatives have been put by municipal administrations in this direction such as vehicle sizing, access ">Although these initiatives are aimed to minimize negative environmental impacts of urban goods movement yet they can often negatively impact the operational efficiency of logistics operators. For example, limiting the size of delivery vehicles inside urban areas causes increased number of delivery trips by small vehicles which can be more polluting and costly to logistics operators. In face of these sustainability initiatives and limited resources, city logistics operators may enter into collaboration with other logistics operators to minimize distribution costs under the sustainability regulations imposed by municipal administrators in urban areas. In this research program, we address the problem of sustainable city logistics planning under collaboration. Our goal is to develop efficient solution approaches for collaboration planning of logistics operators, design sustainable distribution networks under collaboration, and propose models for collaborative goods distribution to achieve sustainability objectives. Since these are complex combinatorial optimization problems, mathematical programming and meta-heuristics based solution approaches will be used. Models validation will be performed using benchmarking data sets available in literature. Under lack of data, model validation will be done using simulated data sets generated at random and the obtained results will be compared against other standard approaches.Both from research and practical perspective, the proposed research has significant influence in providing an understanding of how sustainable city logistics planning can be performed under collaboration. The results can be used by logistics operators in designing sustainable goods delivery networks and developing sustainable goods distribution strategies under collaboration. The results of the study can also be used by policy makers and city administrators in developing new policies considering the delivery constraints of logistics operators. Collaboration between logistics operators will minimize vehicle trips and empty vehicle movements which will also lead to less congestion, air pollution and noise, thereby improving the quality of life in urban areas.The study will train six highly qualified personnel (3 PhD, 3 MASc) in the area of sustainable city logistics planning to build competitive advantage of Canada in this area of research. The research results will be disseminated through good quality conferences and journals to contribute to the advancement of research in the proposed area.