University of Tasmania
Browse

File(s) under permanent embargo

Understanding Sentiments and Activities in Green Spaces using a Social Data-driven Approach

chapter
posted on 2023-05-24, 06:19 authored by Lim, KH, Lee, KE, David Kendal, Rashidi, L, Naghizade, E, Feng, Y, Wang, J
Green spaces are believed to enhance the well-being of residents in urban areas. While there is research exploring the emotional benefits of green spaces, most early works are based on user surveys and case studies, which are typically small in scale, intrusive, time-intensive and costly. In contrast to earlier works, we utilize a non-intrusive methodology to understand green space effects at large-scale and in greater detail, via digital traces left by Twitter users. Using this methodology, we perform an empirical study on the effects of green spaces on user sentiments, emotions and activities in Melbourne, Australia and our main findings are: (i) tweets in green spaces contain more positive and less negative emotions compared to those in urban areas; (ii) emotions in tweets vary seasonally; (iii) there are interesting changes in sentiments based on the hour, day and month that a tweet was posted; (iv) negative sentiments are typically associated with large transport infrastructures such as train interchanges, major road junctions and railway tracks; and (v) each green space is often associated with a specific type of activity and/or event, which can be a useful information for Online recommender systems. The novelty of our study is the combination of psychological theory, alongside data collection and analysis techniques on a large-scale Twitter dataset, which builds upon traditional methods in urban research and provides important implications for urban planning authorities.

History

Publication title

Smart Cities: Issues and Challenges - Mapping Political, Social and Economic Risks and Threats

Edition

1st

Editors

M Lytras A Visvizi

Pagination

77-107

ISBN

9780128166390

Department/School

School of Geography, Planning and Spatial Sciences

Publisher

Elsevier

Place of publication

United States

Extent

15

Rights statement

Copyright 2019 Elsevier

Repository Status

  • Restricted

Socio-economic Objectives

Terrestrial biodiversity

Usage metrics

    University Of Tasmania

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC