24 lines
1.1 KiB
TeX
24 lines
1.1 KiB
TeX
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\subsection{Case Study Dataset}
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\label{data}
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The studied dataset consists of a meal delivery platform's entire
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transactional data covering the French market from launch in February of
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2016 to January of 2017.
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The platform operated in five cities throughout this period and received a
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total of 686,385 orders.
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The forecasting models were developed based on the data from Lyon and Paris in
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the period from August through December; this ensures comparability across
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cities and avoids irregularities in demand assumed for a new service
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within the first operating weeks.
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The data exhibit a steady-state as the UDP's service area remained
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unchanged, and the numbers of orders and of couriers grew in lock-step and
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organically.
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This does not mean that no new restaurants were openend: If that happened, the
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new restaurant did not attract new customers, but demand was shifted from
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other member restaurants.
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Results are similar in both cities, and we only report them for Paris for
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greater conciseness.
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Lastly, the platform recorded all incoming orders, and lost demand does not
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exist.
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See \ref{dataset} for details on the raw data.
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