Tracking spatio temporal movement of human in terms of space utilization using media access control address data

Abedi, Naeim, Bhaskar, Ashish, & Chung, Edward (2014) Tracking spatio temporal movement of human in terms of space utilization using media access control address data. Applied Geography, 51, pp. 72-81.

[img] PDF (762kB)
Administrators only until July 2017 | Request a copy from author

View at publisher

Abstract

Using Media-Access-Control (MAC) address for data collection and tracking is a capable and cost effective approach as the traditional ways such as surveys and video surveillance have numerous drawbacks and limitations. Positioning cell-phones by Global System for Mobile communication was considered an attack on people's privacy. MAC addresses just keep a unique log of a WiFi or Bluetooth enabled device for connecting to another device that has not potential privacy infringements. This paper presents the use of MAC address data collection approach for analysis of spatio-temporal dynamics of human in terms of shared space utilization. This paper firstly discuses the critical challenges and key benefits of MAC address data as a tracking technology for monitoring human movement. Here, proximity-based MAC address tracking is postulated as an effective methodology for analysing the complex spatio-temporal dynamics of human movements at shared zones such as lounge and office areas. A case study of university staff lounge area is described in detail and results indicates a significant added value of the methodology for human movement tracking. By analysis of MAC address data in the study area, clear statistics such as staff’s utilisation frequency, utilisation peak periods, and staff time spent is obtained. The analyses also reveal staff’s socialising profiles in terms of group and solo gathering. The paper is concluded with a discussion on why MAC address tracking offers significant advantages for tracking human behaviour in terms of shared space utilisation with respect to other and more prominent technologies, and outlines some of its remaining deficiencies.

Impact and interest:

9 citations in Scopus
Search Google Scholar™
8 citations in Web of Science®

Citation counts are sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

ID Code: 69914
Item Type: Journal Article
Refereed: Yes
Additional URLs:
Keywords: Crowd Data, MAC Address, Space Utilisation, Human Movement Tracking
DOI: 10.1016/j.apgeog.2014.04.001
ISSN: 0143-6228
Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > CIVIL ENGINEERING (090500) > Transport Engineering (090507)
Divisions: Current > Schools > School of Civil Engineering & Built Environment
Copyright Owner: Copyright 2014 Please consult the authors
Copyright Statement: NOTICE: this is the author’s version of a work that was accepted for publication in Applied Geography. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Applied Geography
Deposited On: 07 Apr 2014 01:43
Last Modified: 19 May 2014 20:22

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page