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Smart city article details

Title	An Instrument For Evaluating Data-Driven Traffic Management Applications In The Context Of Digital Transformation Towards A Smart City
ID_Doc	8401
Authors	Lorenz A.; Madeja N.; Cifci A.
Year	2022
Published	Lecture Notes in Business Information Processing, 463 LNBIP
DOI	http://dx.doi.org/10.1007/978-3-031-20706-8_1
Abstract	The smart city concept represents an integrated approach for mitigating the challenges resulting from ongoing urbanization by synergizing technology, data, and citizens in a sustainable manner. Smart mobility is an important aspect of a smarty city with intelligent traffic management as one of its key enablers that can contribute to making cities more attractive for living. In this article we focus on data-driven applications for traffic management and develop a new instrument for their evaluation, sharing insights from a municipal project. Drawing on digital business research, evaluation models and expertise from traffic management, we develop criteria and apply them to a Weighted Sum Model, an established modeling technique. As a result, we obtain an easy-to-use instrument for evaluating data-driven applications that can also be adjusted to other contexts. Therefore, both our instrument and the process we employed in its development can support future smart city initiatives in their instrument development and evaluation process. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Author Keywords	Data-driven applications; Digital transformation; Intelligent traffic management; Smart city; Smart mobility

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