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Amend literature

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Alexander Hess 2020-10-25 19:18:54 +01:00
commit 3706dd44b7
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GPG key ID: 344EA5AB10D868E0
2 changed files with 47 additions and 3 deletions

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@ -9,9 +9,11 @@ Figure \ref{f:grid} shows how the orders' delivery locations are each
covering the entire service area within a city.
This gridification step is also applied to the pickup locations separately.
The lower-left corner is chosen at random.
\cite{winkenbach2015} apply the same gridification idea and slice an urban
area to model a location-routing problem, and \cite{singleton2017} portray
it as a standard method in the field of urban analytics.
Applications of this gridification idea to model location-routing problems
can be viewed, for example, in \cite{winkenbach2015}, \cite{bergmann2020},
\cite{janjevic2019}, \cite{snoeck2020}, and \cite{janjevic2020}
while \cite{singleton2017} portray it as a standard method in the field of
urban analytics.
With increasing pixel sizes, the time series exhibit more order aggregation
with a possibly stronger demand pattern.
On the other hand, the larger the pixels, the less valuable become the