Analyzing Mobility Patterns and Imbalance of Free Floating Bike Sharing Systems

Pal, Arita; Kwon, Changhyun; Zhang, Yu; University of South Florida. Center for Transportation, Environment, and Community Health; University of South Florida. Department of Civil and Environmental Engineering

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Analyzing Mobility Patterns and Imbalance of Free Floating Bike Sharing Systems

2018-01-31
By Pal, Arita ; Kwon, Changhyun ; Zhang, Yu

[PDF-520.90 KB]

English

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Details:

Alternative Title:

Analysis of Free-floating Bike Sharing and Insights on System Operations
Creators:

Pal, Arita ; Kwon, Changhyun ; Zhang, Yu

Pal, Arita ; Kwon, Changhyun ; Zhang, Yu Less -
Corporate Creators:

University of South Florida. Center for Transportation, Environment, and Community Health ; University of South Florida. Department of Civil and Environmental Engineering

University of South Florida. Center for Transportation, Environment, and Community Health ; University of South Florida. Department of Civil and Environmental Engineering Less -
Corporate Contributors:

United States. Department of Transportation. University Transportation Centers (UTC) Program ; University Transportation Centers Program (U.S.)

United States. Department of Transportation. University Transportation Centers (UTC) Program ; University Transportation Centers Program (U.S.) Less -
Subject/TRT Terms:

[+]

Analysis Bike Sharing Operational Management Econometrics Econometrics Modeling Mobility Poisson Distributions Poisson Regression Sharing Mobility Statistical Analysis Statistical Modeling Vehicle Sharing
Resource Type:

Manuscript
Geographical Coverage:

United States ; Tampa (Florida)

United States ; Tampa (Florida) Less -
TRIS Online Accession Number:

01666666
Edition:

Final Report 11/30/2016-11/29/2017
Corporate Publisher:

University of South Florida. Center for Urban Transportation Research
NTL Classification:

NTL-PEDESTRIAN AND BICYCLES-Bicycles
Abstract:

Bike Sharing is a sustainable mode of urban mobility, not only for regular commuters but also for casual users and tourists. Freefloating bike sharing (FFBS) is an innovative bike sharing model, that saves on start-up cost,prevents bike theft, and offers significant opportunities for smart management by tracking bikes in real-time with built-in GPS. The primary objective of this paper is to understand the mobility patterns and imbalance of an FFBS by analyzing its historical trip and weather data. Resulting outcomes provide insights to assist the system operator to make more informed decisions. Researchers have studied mobility patterns by analyzing historical trip and weather data of station-based bike sharing systems (SBBS) using data visualization and or generalized linear models. However, none of these studies considered interaction between independent variables or study imbalance as a dependent variable. In this paper, we demonstrate that by considering such interactions, more insights can be obtained about the mobility patterns and imbalance of an FFBS. We propose a simple method to decompose continuous variables into binary variables and two stage models that consider interactions between independent variables. The proposed decomposition method significantly improves the (quasi-)Poisson regression model commonly used in the literature and has the ability to identify intervals of a continuous variable for which they are statistically significant.
Format:

PDF
Funding:

69A3551747119
Collection(s):

University Transportation Centers US Transportation Collection
Main Document Checksum:

[+]

urn:sha256:085228cd9a2a62a35c9c751e67f3f754f1066106eb2ed1ea3ba75601d63b0ef3
Download URL:

https://rosap.ntl.bts.gov/view/dot/35668/dot_35668_DS1.pdf
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Analyzing Mobility Patterns and Imbalance of Free Floating Bike Sharing Systems

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