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Sustainable city logistics planning under collaboration

Sustainable city logistics planning under collaboration
协作下的可持续城市物流规划
批准号:
RGPIN-2015-04959
负责人:
Awasthi, Anjali
金额:
$1.6万
依托单位:
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
财政年份:
2015
资助国家:
加拿大
项目状态:
已结题
起止时间:
2015-01-01 至 2016-12-31

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中文摘要
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英文摘要
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.
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Automated goods distribution planning under complex urban environments
  • 批准号:
    RGPIN-2022-05446
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.26万
  • 财政年份:
    2022
  • 负责人:
    Awasthi, Anjali
  • 依托单位:
Sustainable city logistics planning under collaboration
  • 批准号:
    RGPIN-2015-04959
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.6万
  • 财政年份:
    2019
  • 负责人:
    Awasthi, Anjali
  • 依托单位:
Sustainable city logistics planning under collaboration
  • 批准号:
    RGPIN-2015-04959
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.6万
  • 财政年份:
    2018
  • 负责人:
    Awasthi, Anjali
  • 依托单位:
Sustainable city logistics planning under collaboration
  • 批准号:
    RGPIN-2015-04959
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.6万
  • 财政年份:
    2017
  • 负责人:
    Awasthi, Anjali
  • 依托单位:
国内基金
海外基金
中国巨型城市(Mega-city)建成区物质空间转型与社会空间演化机制研究——以北京、武汉为例
  • 批准号:
    41601166
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    19.0万元
  • 批准年份:
    2016
  • 负责人:
    顾江
  • 依托单位: