Modeling and Analysis of the Continuance Usage Intention Toward Bike-Sharing System: A Coupled Study on the Impact of the COVID-19 Pandemic

31 Pages Posted: 9 Feb 2023

See all articles by Golnoosh Sarkandi

Golnoosh Sarkandi

University of Tehran

Mohammad Arbabpour Bidgoli

Royal Institute of Technology (KTH)

Navid Khademi

University of Tehran

Fariya Sharmeen

Royal Institute of Technology (KTH)

Abstract

The COVID-19 pandemic is known as a major public health problem in the world that has had a dramatic impact on urban commutes. This study aims to investigate the impact of the COVID-19 pandemic on users continued use of bike-sharing services in Tehran (the capital city of Iran). The first part of the study investigates how perceptions of health risks and performance can function as inhibitors of continuance usage intention toward bike-sharing services during the pandemic. In this regard, a structural model that includes perceived threat, perceived self-efficacy, perceived usefulness, perceived ease of use, confirmation, satisfaction, personal norms, attitude, and continuance intention, has been developed as a valuable framework based on various socio-psychological theories to predict the behavior of shared bicycle users. The second part of the study examines the three-wave longitudinal and cross-lagged relationships between users' attitudes and behaviors toward bike-sharing services before, during, and after the pandemic. In this regard, a cross-lagged panel model (CLPM) was developed to evaluate the interactive effect of users' attitudes and behaviors regarding the continuance intention of bike-sharing services. Moreover, a new CLPM was created with the same properties to validate the results obtained from the initial CLPM in the post-pandemic era with repeated questioning of real users' behavior and attitudes. The study results indicate that perceived usefulness, confirmation, satisfaction, and attitude mostly had positive and significant impacts on the continuation of bike-sharing services. In addition, the perceived threat of COVID-19, including perceived susceptibility and severity, is the most significant factor preventing the use of shared bicycles during the pandemic. Surprisingly, we found that the effects of behavior on attitudes are greater than vice versa, which means a change in attitude cannot necessarily lead to a change in behavior. As a result, policymaking that focuses on improving the accessibility and comfort of shared bikes has a more significant impact on their usage than policymaking that aims to change or maintain citizens' attitudes toward shared bikes. The study findings are helpful for transit authorities and policymakers who are considering ways to promote the use of bike-sharing services.

Keywords: Bike-Sharing Services (BSS), Structural Equation Modelling, Cross-Lagged Panel Modelling, Technology Continuance Theory, COVID-19 Pandemic

Suggested Citation

Sarkandi, Golnoosh and Arbabpour Bidgoli, Mohammad and Khademi, Navid and Sharmeen, Fariya, Modeling and Analysis of the Continuance Usage Intention Toward Bike-Sharing System: A Coupled Study on the Impact of the COVID-19 Pandemic. Available at SSRN: https://ssrn.com/abstract=4351252 or http://dx.doi.org/10.2139/ssrn.4351252

Golnoosh Sarkandi

University of Tehran ( email )

Amirabad e shomali, kuye daneshgah e Tehran
Tehran, UT 5433174616
Iran

Mohammad Arbabpour Bidgoli (Contact Author)

Royal Institute of Technology (KTH) ( email )

Brinellvägen 8
Stockholm, 10044
Sweden

Navid Khademi

University of Tehran ( email )

16 Azar St, Enghelab Ave
Tehran, UT Tehran 5433174616
Iran

HOME PAGE: http://https://scholar.google.com/citations?user=xXaRf2QAAAAJ&hl=en&oi=ao

Fariya Sharmeen

Royal Institute of Technology (KTH) ( email )

Brinellvägen 8
Stockholm, 10044
Sweden

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