@inproceedings{934c08e68aa24b188601dc566fff0340,
title = "Validating the Use of Wi-Fi Signals to Estimate Hyperlocal Urban Populations",
abstract = "The widespread adoption and use of mobile phone and Wi-Fi enabled devices has created new sources of big data useful for understanding urban mobility and real-time population activity. Wi-Fi networks in particular are being increasingly deployed throughout dense urban areas providing new possibilities to study the dynamics of urban populations. However, there is little known about the ability of Wi-Fi networks to quantify urban populations in real-time, including the accuracy, coverage and capture rate of these networks. In this research, we compare three methods for generating population estimates using Wi-Fi probe request data and validate these approaches with manual count data for a two month period. Despite concerns related to data bias and representativeness, we find that Wi-Fi data can be a viable source of information for estimating urban populations.",
keywords = "Wi-Fi signals, population modeling, urban big data",
author = "Johnson, {Nicholas E.} and Pablo Mandiola and Cyrus Blankinship and Bartosz Bonczak and Kontokosta, {Constantine E.}",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE International Conference on Big Data, Big Data 2019 ; Conference date: 09-12-2019 Through 12-12-2019",
year = "2019",
month = dec,
doi = "10.1109/BigData47090.2019.9006517",
language = "English (US)",
series = "Proceedings - 2019 IEEE International Conference on Big Data, Big Data 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1650--1655",
editor = "Chaitanya Baru and Jun Huan and Latifur Khan and Hu, {Xiaohua Tony} and Ronay Ak and Yuanyuan Tian and Roger Barga and Carlo Zaniolo and Kisung Lee and Ye, {Yanfang Fanny}",
booktitle = "Proceedings - 2019 IEEE International Conference on Big Data, Big Data 2019",
}