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Title:

Estimating spatio-temporal variations of taxi ridership caused by hurricanes in New York City

Accession Number:

01659946

Record Type:

Component

Abstract:

Taxi is an indispensable component of the public transportation system in New York City (NYC). In estimating taxi ridership past studies, days with extreme weather were usually removed as outliers. However, taxi plays an important role during extreme weather events, especially for evacuation purposes or as a substitute for suspended regular public transportation service. Thus, estimating spatio-temporal variations of taxi ridership during extreme weather conditions can provide valuable information on heretofore relatively unknown taxi rider behavior and help identify zones with unusual taxi demand. In this study, NYC taxi ridership shortly before landfall of Hurricanes Irene and Sandy was analyzed. It was found that the total taxi ridership began to drop about 24 hours before hurricane landfall. Three multisource regression models were estimated to explain the variation of taxi ridership in the last 24 hours. Characteristics of an approaching hurricane, local weather conditions, and household socio-demographic variables were entered as explanatory variables. It was found that taxi ridership during hurricane-affected periods has a strong linear association with the ridership in unaffected periods but the proportion of taxi riders decrease as the storm approaches; a storm has the greatest impact on taxi ridership during weekend nighttime and the least impact on weekday daytime; and taxi users travel less during heavy rain conditions.

Supplemental Notes:

This paper was sponsored by TRB committee ABR30 Standing Committee on Emergency Evacuations. Alternate title: Estimating Spatiotemporal Variations of Taxi Ridership Caused by Hurricanes in New York City

Report/Paper Numbers:

18-01422

Language:

English

Authors:

Bian, Ruijie
Wilmot, Chester G
Bu, Lei
Wang, Ling

ORCID 0000-0001-7901-3995

Pagination:

7p

Publication Date:

2018

Conference:

Transportation Research Board 97th Annual Meeting

Location: Washington DC, United States
Date: 2018-1-7 to 2018-1-11
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References; Tables

Uncontrolled Terms:

Spatiotemporal analysis

Geographic Terms:

New York (New York)

Subject Areas:

Passenger Transportation; Planning and Forecasting; Public Transportation; Security and Emergencies

Source Data:

Transportation Research Board Annual Meeting 2018 Paper #18-01422

Files:

TRIS, TRB, ATRI

Created Date:

Jan 8 2018 10:21AM