Active travel street intervention ideas in Malta: Evaluating citizen feedback using sentiment analysis

Within the sphere of co-creation and experimentation and the promotion of sustainable urban mobility, urban living labs (ULLs) and digital engagement platforms have emerged as key methodological approaches and tools. This paper focuses on the context of a car-dependent island in the Mediterranean – Malta, where the introduction of active travel interventions is an essential but persistently difficult undertaking. The study aims to test a fully virtual method to better understand the perceptions of the islands' population of such interventions. The study deploys a Virtual Urban Living Lab (VULL), a purposely designed online participatory platform with interactive activities in which participants can give feedback on proposed intervention ideas and propose their own. The feedback was collected from 113 users over the span of a week in December 2023. Using sentiment analysis conducted through a large language model (ChatGPT 4), the findings from the VULL shed light on how the Maltese population perceives stakeholder-proposed ideas to re-design urban streets. A discussion on the main challenges and points of contention, and the positive features of the proposed intervention follows. The paper concludes with an overview of the policy-relevant feedback and the potential for urban planners and policymakers to use VULL and language models as tools for understanding public sentiment.

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Publication Details

Journal
Journal of Transport Geography
Published
2025-04-16
DOI
https://doi.org/10.1016/j.jtrangeo.2025.104241
Citations
1
Primary Topic
Urban Transport and Accessibility
Type
article
Field-Weighted Citation Impact
2.18
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article

Active travel street intervention ideas in Malta: Evaluating citizen feedback using sentiment analysis

Maria Attard, Karyn Scerri
1 citations
Journal of Transport Geography
Urban Transport and Accessibility
2.18
article

Active travel street intervention ideas in Malta: Evaluating citizen feedback using sentiment analysis

Maria Attard, Karyn Scerri
article en
1 citations

Abstract

Within the sphere of co-creation and experimentation and the promotion of sustainable urban mobility, urban living labs (ULLs) and digital engagement platforms have emerged as key methodological approaches and tools. This paper focuses on the context of a car-dependent island in the Mediterranean – Malta, where the introduction of active travel interventions is an essential but persistently difficult undertaking. The study aims to test a fully virtual method to better understand the perceptions of the islands' population of such interventions. The study deploys a Virtual Urban Living Lab (VULL), a purposely designed online participatory platform with interactive activities in which participants can give feedback on proposed intervention ideas and propose their own. The feedback was collected from 113 users over the span of a week in December 2023. Using sentiment analysis conducted through a large language model (ChatGPT 4), the findings from the VULL shed light on how the Maltese population perceives stakeholder-proposed ideas to re-design urban streets. A discussion on the main challenges and points of contention, and the positive features of the proposed intervention follows. The paper concludes with an overview of the policy-relevant feedback and the potential for urban planners and policymakers to use VULL and language models as tools for understanding public sentiment.

Journal of Transport GeographyVol. 126
University of Malta (MT)
Openalex Percentile: Top 14%
Urban Transport and Accessibility
2.18
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