Digitally driven: how location based services impact the work practices of London bus drivers
Abstract
This paper examines how an occupational group has adapted to the demands of working with a Location Based Service (LBS). Instead of following a rigid timetable, London's bus drivers are now required to maintain an equal distance between the bus in front and the one behind. Our qualitative study employs ethnographic fieldwork and in-depth semi-structured interviews to elicit drivers' perspectives of the new system and show how it has modified their driving and general work conditions. We explore how passengers influence the movement of the bus and how the technology frames bus drivers' relationships to their managers and commuters. This work contributes to our understanding of the impact of LBS in the workplace and shows how technological imperatives can be established that cause unanticipated consequences and gradually undermine human relationships.
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Some London bus drivers ended up accepting their algorithmic performance management system because the system takes into account changes in road surfaces and bus suspension when rating overall quality of driving, resulting in a more accurate and appropriate performance rating and feedback.
“On another note, Pritchard et al. (2014) and Pritchard et al. (2015) described how some London bus drivers ended up accepting their algorithmic performance management system because the system takes into account changes in the quality of the road surfaces and the bus suspension when rating the overall quality of driving, resulting in a more accurate and appropriate performance rating and feedback.”
From Algorithms as work designers: How algorithmic management influences the design of jobs (2022) · cites this paper as Pritchard et al., 2014
Cites
The Discovery of Grounded Theory; Strategies for Qualitative Research
Glaser, B. G., Strauss, A. L., & Strutzel, E. (1968) · Nursing Research · doi:10.1097/00006199-196807000-00014 · Cited by 39,449 · see citing works
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Algorithms as work designers: How algorithmic management influences the design of jobs
Parent-Rocheleau, X., & Parker, S. K. (2022) · Human Resource Management Review · doi:10.1016/j.hrmr.2021.100838 · Cited by 512 · see citing works
The Trouble with Autopilots: Assisted and Autonomous Driving on the Social Road
Brown, B., & Laurier, E. (2017) · Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3025453.3025462 · Cited by 186 · see citing works
- Authors
- Pritchard, G., Vines, J., Briggs, P., Thomas, L., & Olivier, P.
- Affiliations
- Newcastle University (GB)
- Northumbria University (GB)
- Venue
- Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
- Publisher
- ACM
- Published
- 2014-04-26
- Pages
- 3617-3626
- OpenAlex
- W2157320214
- Cited by
- 40
- References
- 1
- Citations by year
- 2026: 4 · 2025: 3 · 2024: 2 · 2022: 2 · 2021: 5 · 2020: 3 · 2019: 1 · 2018: 4 · 2017: 2 · 2016: 6 · 2015: 6 · 2014: 2
- FWCI
- 17.18
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- CHI Conference on Human Factors in Computing Systems (publishedVersion)
- Funders
- Research Councils UK
- Topics
- Social Sciences › Sociology and Political Science › Digital Economy and Work Transformation
- Social Sciences › Business, Management and Accounting › Industrial relations › Legal and Labor Studies
- Social Sciences › Sociology and Political Science › Information Systems Theories and Implementation
- Keywords
- location-based services, bus drivers, driver adaptation, working conditions, workplace technology, unintended consequences of technology
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