Abstract
Pervasive data have become a key source of information for mobility and transportation analyses. However, as a secondary source, it has a different methodological origin than travel survey data, usually relying on unsupervised algorithms, and so it requires to be assessed as a dataset. This assessment is challenging, because, in general, there is not a benchmark dataset or a ground truth scenario available, as travel surveys only represent a partial view of the phenomenon and suffer from their own biases. For this critical task, which involves urban planners and data scientists, we study the design space of the visualization of cross-origin, multivariate flow datasets. For this purpose, we introduce the Modalflow system, which incorporates and adapts different visualization techniques in a notebook-like setting, presenting novel visual encodings and interactions for flows with modal partition into scatterplots, flow maps, origin-destination matrices, and ternary plots. Using this system, we extract general insights on visual analysis of pervasive and survey data for urban mobility and assess a mobile phone network dataset for one metropolitan area.
Highlights
Urban planning has been around since ancient times, but only at the beginning of the 20th century was it developed into an academic field, where it had its boom in the need of accommodating old and new cities to the needs of the industry
We have presented the Modalflow system for visualizing modal flow data in mobility, with an emphasis comparing cross-origin flow data sources
Our aim was to create a tool that could help domain experts in urbanism to assess new datasets from non-traditional sources and hopefully incorporate them into their workflow, at the same time fostering interaction between data science and urbanism, as we saw this as an important gap to be filled by the visualization community
Summary
Urban planning has been around since ancient times, but only at the beginning of the 20th century was it developed into an academic field, where it had its boom in the need of accommodating old and new cities to the needs of the industry. Urban planning is turning towards sustainable mobility, a new paradigm that changes how the relation of the city to the environment and people is understood. In this scenario, urbanism is faced with a major challenge: incorporating new data sources and data-driven methodologies into its framework. Travel surveys have been a key tool, relying on a small, but carefully orchestrated, sample, access to census data and statistical craftsmanship. They are expensive and time consuming to produce [2] and they show heavy under-reporting [3]. This traditional source is contrasted with the information that can be extracted
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