Evaluating the digital divide in public transport services: A natural language processing analysis of user experiences in Birmingham

Huafeng, Lu and Zhang, Lei and Gullino, Silvia and Hincapié Triviño, Miguel (2026) Evaluating the digital divide in public transport services: A natural language processing analysis of user experiences in Birmingham. Computers, Environment and Urban Systems, 130. p. 102507. ISSN 0198-9715

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Abstract

Digitalisation has transformed public transport services worldwide, yet disparities in access, skills, and outcomes continue to reinforce a digital divide in how citizens engage with these services. While previous studies have examined the digital divide in internet use and smart technologies, few have explored how these inequalities manifest in everyday interactions with digital public transport platforms, extending to citizen participation in government-provided digital services. To this end, we investigated user experiences of public transport applications in Birmingham, whose digital inclusion is disproportionate to its status as a major urban and economic hub in the UK, by analysing 4275 user reviews on public transport services collected from the Apple App Store and Google Play Store between 2016 and 2025. Using a mixed natural language processing (NLP) approach combining topic modelling and sentiment analysis, we identified key themes and emotional tones in user feedback. Results revealed three dominant topics: App Performance, Usability, and Service Satisfaction, each conceptually aligned with the access, ability, and motivation dimensions of the digital divide theory. Sentiment analysis showed generally negative evaluations, particularly around technical access barriers and satisfaction issues. By integrating user-generated data with digital divide theory, these results provide novel empirical evidence of how inequalities in digital engagement persist within digital twin planning and smart city transport systems and highlight the importance of inclusive digital design for equitable and sustainable mobility access.

Item Type:	Article
Identification Number:	10.1016/j.compenvurbsys.2026.102507
Dates:	Date Event 19 August 2026 Accepted 10 August 2026 Published Online
Uncontrolled Keywords:	Digital divide, Public transport, Smart City, Inclusive planning, Natural language processing, Artificial intelligence
Subjects:	CAH13 - architecture, building and planning > CAH13-01 - architecture, building and planning > CAH13-01-02 - building CAH13 - architecture, building and planning > CAH13-01 - architecture, building and planning > CAH13-01-04 - planning (urban, rural and regional)
Divisions:	Architecture, Built Environment, Computing and Engineering > Architecture and Built Environment > Built Environment
Depositing User:	Gemma Tonks
Date Deposited:	26 Aug 2026 12:50
Last Modified:	26 Aug 2026 12:50
URI:	https://www.open-access.bcu.ac.uk/id/eprint/17195

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