Demanding Labor: Workplace Conditions in On-Demand Transit

Workplaces of all kinds continue to be transformed by computing. One example of these transformations is in public transportation, where transit agencies are experimenting with on-demand transit to address long-standing challenges in delivering first- and last-mile service. On-demand transit shares some features with ridesharing services like Uber and Lyft: riders request service when and where they are. Although rideshare systems have provided a set of interaction idioms and familiar interfaces upon which to model on-demand systems, work settings and labor conditions are very different. These differences matter and the way “disruptive” systems impact the work environment of public transit operators remains under examined. We report on interviews with transit operators from a 6-month pilot program. Our findings illustrate how the shift in in-vehicle technologies and service expectations affected work processes, well-being, and safety and we offer insight into the consequences of digital labor in the context of on-demand transit.

Authors

Institutions

Publication Details

Journal
ACM Transactions on Computer-Human Interaction
Published
2025-01-10
DOI
https://doi.org/10.1145/3711921
Citations
1
Primary Topic
Digital Economy and Work Transformation
Type
article
Field-Weighted Citation Impact
4.20

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Demanding Labor: Workplace Conditions in On-Demand Transit

Christopher A. Le Dantec, Mao Wei
1 citations
ACM Transactions on Computer-Human Interaction
Digital Economy and Work Transformation
4.20
article

Demanding Labor: Workplace Conditions in On-Demand Transit

Christopher A. Le Dantec, Mao Wei
article en
1 citations

Abstract

Workplaces of all kinds continue to be transformed by computing. One example of these transformations is in public transportation, where transit agencies are experimenting with on-demand transit to address long-standing challenges in delivering first- and last-mile service. On-demand transit shares some features with ridesharing services like Uber and Lyft: riders request service when and where they are. Although rideshare systems have provided a set of interaction idioms and familiar interfaces upon which to model on-demand systems, work settings and labor conditions are very different. These differences matter and the way “disruptive” systems impact the work environment of public transit operators remains under examined. We report on interviews with transit operators from a 6-month pilot program. Our findings illustrate how the shift in in-vehicle technologies and service expectations affected work processes, well-being, and safety and we offer insight into the consequences of digital labor in the context of on-demand transit.

ACM Transactions on Computer-Human InteractionVol. 32(2)
Northeastern University (US), Georgia Institute of Technology (US)
National Science Foundation
Decent work and economic growth
Openalex Percentile: Top 10%
Digital Economy and Work Transformation
4.20
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Demanding Labor: Workplace Conditions in On-Demand Transit — Christopher A. Le Dantec, Mao Wei · ACM Transactions on Computer-Human Interaction (2025) | TGRS Research Map | TGRS