Measuring multi-dimensional attributes of travel activities based on smartphone

Authors: Xiaolu Zhou*,
Topics: Transportation Geography, Urban Geography, Geographic Information Science and Systems
Keywords: Individual activity tracking, Location-based step, Smartphone, Tile systems, Geographic information systems
Session Type: Paper
Day: 4/11/2018
Start / End Time: 8:00 AM / 9:40 AM
Room: Oakley, Sheraton, 4th Floor
Presentation File: No File Uploaded

Progress in the location-aware technology, information and communication technology (ICT) in the past decades has advanced our knowledge of the interaction between human activities and the built environment. Increasing number of studies have collected data regarding individual activities to better understand how the environment shapes human behavior. Despite the growing interest, several challenges exist in the process of collecting and processing individual’s activity data. For instance, capturing people’s precise environmental contexts as well as transforming and analyzing data at variable scales can be challenging. In this study, we proposed and implemented an innovative system that integrates smartphone-based step tracking and the sequential tile scan techniques to collect and process activity data. We applied OSM tile system to aggregate the positioning points at variable scales. We also proposed probability, step, and duration surfaces to quantify the multi-dimensional attributes of activities. The methods provide techniques to address key issues in analyzing human activity data. The system can support future studies to achieve better understandings of the behavioral and health consequences related to individual’s environmental exposure.

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