Adoption-Driven Data Science for Transportation Planning: Methodology, Case Study, and Lessons Learned

Vanessa Peña-Araya
Vanessa Peña-Araya
Loreto Bravo
Loreto Bravo

SUSTAINABILITY, pp. 60012020.

Cited by: 0|Views1

Abstract:

The rising availability of digital traces provides a fertile ground for data-driven solutions to problems in cities. However, even though a massive data set analyzed with data science methods may provide a powerful and cost-effective solution to a problem, its adoption by relevant stakeholders is not guaranteed due to adoption barriers su...More

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