User-Centered Taxonomy for Urban Transportation Applications

Bowes, Jeremy; Diamond, Sara; Juneja, Manpreet Kaur; Gordon, Marcus; Skelton, Carl; Gunatilleke, Manik; Carnevale, Michael; Zheng, Minsheng

doi:10.1007/978-3-319-91716-0_46

Cited by 5 publications

(2 citation statements)

References 9 publications

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“…This visualization however was hand-made and not generated by inputting data and running an algorithm, and therefore was not a suitable finished solution for this project. In parallel to the taxonomy research (Bowes et al 2018), the software examples were organized into eight categories. These groupings represented tasks that professionals in urban informatics performed.…”

Section: Methods -Design Processmentioning

confidence: 99%

Compara

Gordon

Diamond

Zheng

et al. 2018

EOE

Self Cite

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The OCAD University Visual Analytics Laboratory (VAL) has developed a taxonomy of end users, software systems, data types, tasks and interactivity within the domain of smart city transportation planning. This paper contributes to the taxonomy by creating Compara, an intuitive, interactive and searchable index that visualizes the attributes of software from a wide-range of applications and technologies. The taxonomy began as a spreadsheet that we transformed into a custom interactive data visualization that could help users find and understand existing tools and their attributes. The taxonomy and interactive index are a component of the iCity project which brings together academic, government, and industrial partners in order to improve the quality of life for urban residents and visitors through the development and integration of advanced IT infrastructure for the purpose of managing transit and transportation. The taxonomy and resulting tools discussed in this paper have expanded to include resources for urban planning which also impact transit and transportation. One of the primary uses of the taxonomy is to help various iCity project teams and stakeholders locate software that may be useful to their design and development process, as well as to understand the end-users of this technology. The taxonomy may be used to develop a city management dashboard for city planners and analysts, or equally, to design a city-services facing mobile service application.

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Section: Methods -Design Processmentioning

confidence: 99%

Compara

Gordon

Diamond

Zheng

et al. 2018

EOE

Self Cite

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“…Researchers have focused on adapting task-based taxonomies for domain specific working cultures and expectations. For example, Bowes et al (2018) propose a taxonomy for using spatio-temporal data in transportation and planning fields.…”

Section: Introductionmentioning

confidence: 99%

(Big) Data in Urban Design Practice: Supporting High-Level Design Tasks Using a Visualization of Human Movement Data from Smartphones

Rout

Willett

2021

Urban Informatics and Future Cities

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We present the SmartCampus visualization tool, representing spatiotemporal data of over 200 student pathways and restpoints on a university campus. Based on our experiences with SmartCampus, we also propose a task-based framework that describes how practicing urban designers (specifically, architects) can use human movement data visualizations in their work. Although extensive amounts of location data are produced daily by smartphones, existing geospatial tools are not customized to specifically support high-level urban design tasks. To help identify opportunities in urban design for visualizing human movement data from devices such as smartphones, we used our SmartCampus prototype to facilitate a series of 3 participatory design sessions (3 participants), a targeted online survey (14 participants), and semi-structured interviews (6 participants) with architectural experts. Our findings showcase the need for location analysis tools tailored to concrete urban design practices, and also highlight opportunities for Smart City researchers interested in developing domain specific, visualization tools.

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