Alexandre Cebeillac
University of Rouen (France) and the Centre for Social Science and Humanities (CSH), New Delhi
Abstract:
Emerging vector-borne diseases such as dengue intensify public health crises in the Asian mega cities of Bangkok (Thailand) and Delhi (India). The links between mosquitoes and the urban environment are well documented, but our understanding of human movement, as a key element of virus spreading, has yet to be fully explored as a research subject.
Given the paucity in adequate or available institutional data, our research first focused on field surveys, and then on the collection, comparison and critique of data collected from major Internet platforms (Twitter, Facebook, Google, Microsoft). Their potential varies from one geographical area to another, still they shed light on the organisation and structure of the studied cities. Moreover, they highlight intra-urban interactions and time frames.
However, such studies cannot be carried out without knowledge acquired from the field. Using the concept of activity space, we propose a method that uses Twitter data and field surveys to model the daily schedules of individuals, thus offering insights into mobility patterns. This is a first step in the development of an agent-based model of individual mobility.
Date: January 29, 2019
Time: 03:45 P.M.
Venue:
Centre for Science and Humanities (CSH),
2, Dr APJ Abdul Kalam Road,
New Delhi - 110 011
Note:
Please confirm participation to amit.arora@csh-delhi.com
Location:
University of Rouen (France) and the Centre for Social Science and Humanities (CSH), New Delhi
Abstract:
Emerging vector-borne diseases such as dengue intensify public health crises in the Asian mega cities of Bangkok (Thailand) and Delhi (India). The links between mosquitoes and the urban environment are well documented, but our understanding of human movement, as a key element of virus spreading, has yet to be fully explored as a research subject.
Given the paucity in adequate or available institutional data, our research first focused on field surveys, and then on the collection, comparison and critique of data collected from major Internet platforms (Twitter, Facebook, Google, Microsoft). Their potential varies from one geographical area to another, still they shed light on the organisation and structure of the studied cities. Moreover, they highlight intra-urban interactions and time frames.
However, such studies cannot be carried out without knowledge acquired from the field. Using the concept of activity space, we propose a method that uses Twitter data and field surveys to model the daily schedules of individuals, thus offering insights into mobility patterns. This is a first step in the development of an agent-based model of individual mobility.
Date: January 29, 2019
Time: 03:45 P.M.
Venue:
Centre for Science and Humanities (CSH),
2, Dr APJ Abdul Kalam Road,
New Delhi - 110 011
Note:
Please confirm participation to amit.arora@csh-delhi.com
Location:
No comments:
Post a Comment