Metropolitan Planning Organizations’ Uses of and Needs for Big Data

Big data products offer a new paradigm to understand and analyze human mobility patterns, a primary interest of long-range transportation planners. However, it remains unclear how widely these datasets are utilized by planners and to what extent they influence decision-making. We present the perspectives of more than 50 planners from MPOs across the United States. While we found a range of use cases, there was also a tendency to focus on a narrow set of applications. Transparency , regulation , and legitimacy emerged as the primary factors influencing adoption decisions.

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Institutions

Publication Details

Journal
Findings
Published
2024-12-12
DOI
https://doi.org/10.32866/001c.127143
Citations
4
Primary Topic
Human Mobility and Location-Based Analysis
Type
article
Field-Weighted Citation Impact
2.73
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article

Metropolitan Planning Organizations’ Uses of and Needs for Big Data

Cynthia Chen, Brian H. Y. Lee, Ekin Uğurel, Qi Wang et al.
4 citations
Findings
Human Mobility and Location-Based Analysis
2.73
article

Metropolitan Planning Organizations’ Uses of and Needs for Big Data

Cynthia Chen, Brian H. Y. Lee, Ekin Uğurel, Qi Wang, Xinhua Wu
article en
4 citations

Abstract

Big data products offer a new paradigm to understand and analyze human mobility patterns, a primary interest of long-range transportation planners. However, it remains unclear how widely these datasets are utilized by planners and to what extent they influence decision-making. We present the perspectives of more than 50 planners from MPOs across the United States. While we found a range of use cases, there was also a tendency to focus on a narrow set of applications. Transparency , regulation , and legitimacy emerged as the primary factors influencing adoption decisions.

Findings
University of Puget Sound (US), University of Washington (US), Universidad del Noreste (MX)
Peace, Justice and strong institutions
Openalex Percentile: Top 10%
Human Mobility and Location-Based Analysis
2.73
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