Amend literature
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@ -9,9 +9,11 @@ Figure \ref{f:grid} shows how the orders' delivery locations are each
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covering the entire service area within a city.
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This gridification step is also applied to the pickup locations separately.
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The lower-left corner is chosen at random.
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\cite{winkenbach2015} apply the same gridification idea and slice an urban
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area to model a location-routing problem, and \cite{singleton2017} portray
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it as a standard method in the field of urban analytics.
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Applications of this gridification idea to model location-routing problems
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can be viewed, for example, in \cite{winkenbach2015}, \cite{bergmann2020},
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\cite{janjevic2019}, \cite{snoeck2020}, and \cite{janjevic2020}
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while \cite{singleton2017} portray it as a standard method in the field of
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urban analytics.
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With increasing pixel sizes, the time series exhibit more order aggregation
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with a possibly stronger demand pattern.
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On the other hand, the larger the pixels, the less valuable become the
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@ -56,6 +56,17 @@ pages={8--15},
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publisher={Elsevier}
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}
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@article{bergmann2020,
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title={Integrating first-mile pickup and last-mile delivery
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on shared vehicle routes for efficient urban e-commerce distribution},
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author={Bergmann, Felix M and Wagner, Stephan M and Winkenbach, Matthias},
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year={2020},
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journal={Transportation Research Part B: Methodological},
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volume={131},
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pages={26--62},
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publisher={Elsevier}
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}
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@article{box1962,
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title={Some statistical Aspects of adaptive Optimization and Control},
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author={Box, George and Jenkins, Gwilym},
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@ -376,6 +387,26 @@ pages={211--225},
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publisher={INFORMS}
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}
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@article{janjevic2019,
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title={Integrating collection-and-delivery points
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in the strategic design of urban last-mile e-commerce distribution networks},
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author={Janjevic, Milena and Winkenbach, Matthias and Merch{\'a}n, Daniel},
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year={2019},
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journal={Transportation Research Part E: Logistics and Transportation Review},
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volume={131},
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pages={37--67},
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publisher={Elsevier}
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}
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@article{janjevic2020,
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title={Designing Multi-tier, Multi-service-level, and Multi-modal
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Last-Mile Distribution Networks for Omni-Channel Operations},
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author={Janjevic, Milena and Merchan, Daniel and Winkenbach, Matthias},
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year={2020},
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journal={European Journal of Operational Research},
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publisher={Elsevier}
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}
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@article{kim2016,
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title={A new Metric of Absolute Percentage Error for Intermittent Demand
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Forecasts},
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@ -559,6 +590,17 @@ number={3},
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pages={199--222}
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}
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@article{snoeck2020,
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title={The value of physical distribution flexibility
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in serving dense and uncertain urban markets},
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author={Snoeck, Andr{\'e} and Winkenbach, Matthias},
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year={2020},
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journal={Transportation Research Part A: Policy and Practice},
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volume={136},
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pages={151--177},
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publisher={Elsevier}
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}
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@article{stitson1999,
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title={Support Vector Regression with ANOVA Decomposition Kernels},
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author={Stitson, Mark and Gammerman, Alex and Vapnik, Vladimir
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