DOAJ Open Access 2022

Estimating Driver Response Rates to Variable Message Signage at Seattle-Tacoma International Airport

Soumya Vasisht Shushman Choudhury Nawaf Nazir Stephen Zoepf Chase P Dowling

Abstrak

We apply Bayesian Linear Regression to estimate the response rate of drivers to variable message signs at Seattle-Tacoma International Airport, or SEA. Our approach uses vehicle speed and flow data measured at the entrances of the arrival and departure-ways of the airport terminal, and sign message data. Depending on the time of day, we estimate that between 5.5 and 9.1\% of drivers divert from departures to arrivals when the sign reads "departures full, use arrivals", and conversely, between 1.9 and 4.2\% of drivers divert from arrivals to departures. Though we lack counterfactual data (i.e., what would have happened had the diversionary treatment not been active), adopting a causal model that encodes time dependency with prior distributions rate can yield a measurable effect.

Topik & Kata Kunci

Transportation and communications Urban groups. The city. Urban sociology

Penulis (5)

Soumya Vasisht

Shushman Choudhury

Nawaf Nazir

Stephen Zoepf

Chase P Dowling

Format Sitasi

APA MLA BibTeX

Vasisht, S., Choudhury, S., Nazir, N., Zoepf, S., Dowling, C.P. (2022). Estimating Driver Response Rates to Variable Message Signage at Seattle-Tacoma International Airport. https://doi.org/10.32866/001c.38134

Akses Cepat

PDF tidak tersedia langsung

Cek di sumber asli →

Lihat di Sumber doi.org/10.32866/001c.38134

Informasi Jurnal

Tahun Terbit: 2022
Sumber Database: DOAJ
DOI: 10.32866/001c.38134
Akses: Open Access ✓