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Paper Number
1828
Paper Type
Completed
Description
Smart traffic management initiatives are a growing trend in many cities. While they have the potential to fundamentally improve traffic in urban areas, their success is determined by the citizens’ use of the applications developed in related projects. However, citizens are rarely involved in the requirements elicitation or development process encompassed within such initiatives, even despite research showing the high potential of user-centric software development. In a multiple-methods approach combining focus group discussions and a quantitative survey, we investigate how citizens can be integrated in the specification process of data-driven traffic management applications and whether their involvement can influence the intention to use those applications in the future. With our findings, we contribute to the field of user-centric software design in information systems research applied to smart cities and offer insights into citizen involvement in that context.
Recommended Citation
Lorenz, Alisa; Madeja, Nils; and Leyh, Christian, "The Influence of Citizen Involvement on the Intention to Use Smart Traffic Management Applications" (2023). ICIS 2023 Proceedings. 8.
https://aisel.aisnet.org/icis2023/iot_smartcity/iot_smartcity/8
The Influence of Citizen Involvement on the Intention to Use Smart Traffic Management Applications
Smart traffic management initiatives are a growing trend in many cities. While they have the potential to fundamentally improve traffic in urban areas, their success is determined by the citizens’ use of the applications developed in related projects. However, citizens are rarely involved in the requirements elicitation or development process encompassed within such initiatives, even despite research showing the high potential of user-centric software development. In a multiple-methods approach combining focus group discussions and a quantitative survey, we investigate how citizens can be integrated in the specification process of data-driven traffic management applications and whether their involvement can influence the intention to use those applications in the future. With our findings, we contribute to the field of user-centric software design in information systems research applied to smart cities and offer insights into citizen involvement in that context.
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