Back to Search
Start Over
Social media as passive geo-participation in transportation planning – how effective are topic modeling & sentiment analysis in comparison with citizen surveys?
- Source :
- Geo-spatial Information Science, Vol 23, Iss 4, Pp 275-292 (2020)
- Publication Year :
- 2020
- Publisher :
- Informa UK Limited, 2020.
-
Abstract
- We live in an era of rapid urbanization as many cities are experiencing an unprecedented rate of population growth and congestion. Public transport is playing an increasingly important role in urban mobility with a need to move people and goods efficiently around the city. With such pressures on existing public transportation systems, this paper investigates the opportunities to use social media to more effectively engage with citizens and customers using such services. This research forms a case study of the use of passively collected forms of big data in cities – focusing on Sydney, Australia. Firstly, it examines social media data (Tweets) related to public transport performance. Secondly, it joins this to longitudinal big data – delay information continuously broadcast by the network over a year, thus forming hundreds of millions of data artifacts. Topics, tones, and sentiment are modeled using machine learning and Natural Language Processing (NLP) techniques. These resulting data, and models, are compared to opinions derived from a citizen survey among users. The validity of such data and models versus the intentions of users, in the context of systems that monitor and improve transport performance, are discussed. As such, key recommendations for developing Smart Cities were formed in an applied research context based on these data and techniques.
- Subjects :
- smart cities
010504 meteorology & atmospheric sciences
social media
lcsh:Geodesy
Geography, Planning and Development
Big data
urban sensing
0211 other engineering and technologies
02 engineering and technology
01 natural sciences
big data
Urbanization
Regional science
Population growth
Social media
natural language processing
Computers in Earth Sciences
021101 geological & geomatics engineering
0105 earth and related environmental sciences
public participation
lcsh:QB275-343
Transportation planning
business.industry
transport planning
Sentiment analysis
lcsh:Mathematical geography. Cartography
machine learning
Public participation
Public transport
lcsh:GA1-1776
business
Subjects
Details
- ISSN :
- 19935153 and 10095020
- Volume :
- 23
- Database :
- OpenAIRE
- Journal :
- Geo-spatial Information Science
- Accession number :
- edsair.doi.dedup.....b090e3772af550a3b39777360b444b62