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Title:

Estimating Activities of Taxi Riders and Investigating the Impact of Hurricane Sandy

Accession Number:

01658694

Record Type:

Component

Abstract:

Little attention has been paid to estimating activities of taxi riders in the past. To make such an estimation this study spatially joined a dataset recording taxi trips of New York City to a detailed land use map of the local area. Selected explanatory variables from the joined dataset included the drop-off time of a trip, the number of passengers on this trip, and another five variables reflecting the land use at its drop-off location. Cluster analysis was conducted on these variables to group observations into groups that signify different activities. Clustering was conducted with different weights assigned to the seven variables until a clear distinction between clusters and a close association of each cluster with an activity was found. The best clustering system was then applied to taxi travel prior to Hurricane Sandy to investigate the impact the hurricane had on different activities served by taxi. It was found that commuting or business trips were the most impacted in general. However, all activities were equally affected at landfall and for a short period after that. Overall, the pattern of declining rate can be described as valley, peak, and flat. The first transition appears when most people feel the approaching threat. The second transition appears when the threat is imminent. The last transition appears when the threat has reached its maximum impact.

Supplemental Notes:

This paper was sponsored by TRB committee ABR10 Standing Committee on Critical Transportation Infrastructure Protection.

Report/Paper Numbers:

18-03314

Language:

English

Authors:

Bian, Ruijie
Wilmot, Chester G
Gudishala, Ravindra

Pagination:

4p

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

Identifier Terms:

Geographic Terms:

Subject Areas:

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

Source Data:

Transportation Research Board Annual Meeting 2018 Paper #18-03314

Files:

TRIS, TRB, ATRI

Created Date:

Jan 8 2018 10:48AM