Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Mobile phone data's potential for informing infrastructure planning in
  developing countries   High quality census data are not always available in developing countries.
Instead, mobile phone data are becoming a trending proxy to evaluate population
density, activity and social characteristics. They offer additional advantages
for infrastructure planning such as being updated in real-time, including
mobility information and recording visitors' activity. We combine various data
sets from Senegal to evaluate mobile phone data's potential to replace
insufficient census data for infrastructure planning in developing countries.
As an applied case, we test their ability at predicting domestic electricity
consumption. We show that, contrary to common belief, average mobile phone
activity does not correlate well with population density. However, it can
provide better electricity consumption estimates than basic census data. More
importantly, we use curve and network clustering techniques to enhance the
accuracy of the predictions, to recover good population mapping potential and
to reduce the collection of required data to substantially smaller samples.

5
The categories of this paper are: gr-qc
35
The categories of this paper are: mtrl-th
17
The categories of this paper are: q-fin
23
The categories of this paper are: solv-int
26
The categories of this paper are: bayes-an
15
The categories of this paper are: nucl-ex
12
The categories of this paper are: nucl-th
4
The categories of this paper are: cond-mat
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The categories of this paper are: supr-con
18
The categories of this paper are: econ
25
The categories of this paper are: patt-sol
8
The categories of this paper are: hep-ex
20
The categories of this paper are: acc-phys
13
The categories of this paper are: quant-ph
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The categories of this paper are: dg-ga
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The categories of this paper are: q-bio