CUED Publications database

Visual Analytics to Support the Service Design for Sustainable Mobility

Gürdür, D and Sopjani, L (2019) Visual Analytics to Support the Service Design for Sustainable Mobility. In: UNSPECIFIED.

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Abstract

© 2018 IEEE. Intelligent transport system is a general term for the combined application of communication technologies, control and information processing for transport systems. Intelligent transport system covers all modes of transportation - including public transport - and all elements of the transportation system, such as the vehicle, infrastructure, and the driver. Integrated transport system allows a series of new unconventional solutions to improve the safety of the traffic and to satisfy transport requirements using new technologies. The service design of these systems, however, brings along different challenges.The process of service design requires the designers to engage with user behavior and understand the usage patterns related to the intelligent transport systems. Today, there are no well-developed methods to support this engagement. This paper suggests a data-oriented visual analytics approach to support designers in their decision-making processes, the implementation of successful services for sustainable, shared mobility service systems, and data-oriented approaches. Moreover, this paper discusses visual analytics as a tool to aid service designers by enabling real-time data analytics support.To this end, this paper summarizes the current literature on system innovation, challenges related to the design of these systems for sustainability and presents a shared and connected mobility service case study to illustrate the benefits of having visual analytics platforms for sustainable and intelligent transport systems. The study concludes that intuitive, data-oriented, interactive visual analytics approach has the potential to support service designers to create a coherent picture of the user in the service design process.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Subjects: UNSPECIFIED
Divisions: Div D > Construction Engineering
Depositing User: Unnamed user with email sms67@cam.ac.uk
Date Deposited: 24 Oct 2019 11:18
Last Modified: 30 Jun 2020 02:59
DOI: 10.1109/SusTech.2018.8671353