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Data aggregation impacts on built environment-mode share models around public transit stations

This study examines how data aggregation influences the relationship between the built environment (BE) and mode share around 2,794 rail and BRT stations in the United States, using both inferential and machine learning methods. The results indicate that data aggregation impacts the outcomes of BE-...

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Principais autores: Seyed Sajjad Abdollahpour, Huyen T. K. Le, Ralph Buehler, Steve Hankey
Format: Artigo
Sprog:Inglês
Udgivet: University of Minnesota Libraries Publishing 2025-05-01
Serier:Journal of Transport and Land Use
Fag:
Travel behavior
Land use
Urban form
Zoning and scale effects
Modifiable areal unit of problem
Online adgang:https://jtlu.org/index.php/jtlu/article/view/2676
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