Consumer Attitudes and Behavioral Implications in the New Era of Shared Mobility

Zhang, Zhongju; Tong, Daoqin; Liu, Hungchi; Jin, Xueting; Center for Teaching Old Models New Tricks (TOMNET); Arizona State University

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Consumer Attitudes and Behavioral Implications in the New Era of Shared Mobility

2020-08-01
By Zhang, Zhongju ; Tong, Daoqin ; Liu, Hungchi ; ...

[PDF-605.84 KB]

English

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Details:

Creators:

Zhang, Zhongju ; Tong, Daoqin ; Liu, Hungchi ; Jin, Xueting

Zhang, Zhongju ; Tong, Daoqin ; Liu, Hungchi ; Jin, Xueting Less -
Corporate Creators:

Center for Teaching Old Models New Tricks (TOMNET) ; Arizona State University

Center for Teaching Old Models New Tricks (TOMNET) ; Arizona State University Less -
Corporate Contributors:

United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology

United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology Less -
Subject/TRT Terms:

[+]

Algorithms Attitudes Behavioral Implications Bicycles Consumer Attitudes Consumer Behavior Consumer Preferences COVID-19 Impacts Machine Learning Mode Choice Public Transit Ridership Shared Mobility Travel Behavior Vehicle Sharing
Resource Type:

Tech Report
Geographical Coverage:

United States
Edition:

Final Research Report (2019 – 2020)
Corporate Publisher:

Center for Teaching Old Models New Tricks (TOMNET)
Abstract:

In the last few years, the concept of platform-based sharing economy has received tremendous attention (Sundararajan, 2016). This concept is mainly made possible by digital platforms that leverage advanced technologies (e.g., smartphones, GPS, integrated payment systems) to connect the demand and supply for a particular product or service in an efficient and cost effective manner. One such innovative use case is in the transportation industry where on-demand shared mobility―the real-time shared use of a vehicle, bicycle, or other transportation mode―is having transformative impacts on travelers’ attitudes, mobility choices, and behavioral responses to a wide range of daily activities. The project originally aimed to (1) understand the perceptions, attitudes, and user’s mobility choices toward dockless bike-sharing services, (2) develop advanced analytics and machine learning algorithms to uncover patterns associated with mobility choice, activity-travel, and additional spending related to dockless bike sharing, and (3) empirically evaluate if and how the introduction of the dockless bike-sharing services influences public transit ridership and business sales. COVID-19 in the early 2020 led to widespread lockdowns in many countries and significantly limited people’s travel behaviors. Given the significant disruption of COVID-19 on travel and mobility, we slightly revised the research direction with the new research questions focused on (1) how COVID-19 influenced people’s travel behaviors and patterns, especially dockless bike sharing and (2) how COVID-19 changed the perception and attitude of dockless bike sharing.
Format:

PDF
Funding:

69A3551747116
Collection(s):

University Transportation Centers
Main Document Checksum:

[+]

urn:sha256:7a78b815ebb29652e4c406b4546c11d1add725e83513172009e18c9d9a635914
Download URL:

https://rosap.ntl.bts.gov/view/dot/74099/dot_74099_DS1.pdf
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Consumer Attitudes and Behavioral Implications in the New Era of Shared Mobility

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