Exploring the Factors Affecting Mode Choice Intention of Autonomous Vehicle Based on an Extended Theory of Planned Behavior—A Case Study in China

Jing, Peng; Huang, Hung Chang; Ran, Bin; Zhan, Fengping; Shi, Yuji

doi:10.3390/su11041155

Cited by 151 publications

(111 citation statements)

References 71 publications

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“…A broad range of intentions and behaviors in various research areas have been explained by using the TPB model, including existing green research pertaining to the use of BEVs (e.g., Huang and Ge [5]; Paul et al [41]; Degirmenci and Breitner [42]; Ritter et al [43]; Jing et al [44]).…”

Section: Theory Of Planned Behavior (Tpb)mentioning

confidence: 99%

A SEM–Neural Network Approach to Predict Customers’ Intention to Purchase Battery Electric Vehicles in China’s Zhejiang Province

Zhang

Bao

et al. 2019

Sustainability

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As part of the increasing efforts toward the prevention and control of motor vehicle pollution, the Chinese government has practiced a range of policies to stimulate the purchase and use of battery electric vehicles (BEVs). Zhejiang Province, a key province in China, has proactively implemented and monitored an environmental protection plan. This study aims to contribute toward streamlining marketing and planning activities to introduce strategic policies that stimulate the purchase and use of BEVs. This study considers the nature of human behavior by extending the theory of planned behavior model to identify its predictors, as well as its non-linear relationship with customers' purchase intention. To better understand the predictors, a substantial literature review was given to validate the hypotheses. A quantitative study using 382 surveys completed by customers in Zhejiang Province was conducted by integrating a structural equation model (SEM) and a neural network (NN). The initial analysis results from the SEM revealed five factors that have impacted the customers' purchase intention of BEVs. In the second phase, the normalized importance among those five significant predictors was ranked using the NN. The findings have provided theoretical implications to scholars and academics, and managerial implications to enterprises, and are also helpful for decision makers to implement appropriate policies to promote the purchase intention of BEVs, thereby improving the air quality.

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Section: Theory Of Planned Behavior (Tpb)mentioning

confidence: 99%

A SEM–Neural Network Approach to Predict Customers’ Intention to Purchase Battery Electric Vehicles in China’s Zhejiang Province

Zhang

Bao

et al. 2019

Sustainability

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“…Lo et al [35] used unidimensional attitudes to study car use. Similarly, Jing et al [36] used this framework to explore the intention to use autonomous vehicles.…”

Section: Attitudes and Travel Behaviormentioning

confidence: 99%

“…Zhang et al [43] studied the electric vehicle sharing intention using attitudes toward this travel model. Jing et al [36]) studied the intention to use autonomous vehicle and share autonomous vehicle using attitudes towards those travel options…”

Section: Attitudes Intentions To Travel and Actual Travel Behaviormentioning

confidence: 99%

The Influence of Attitudes towards Cycling and Walking on Travel Intentions and Actual Behavior

et al. 2019

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The design and implementation of effective transport policies to reduce car use in urban areas requires a deep comprehension of the factors that influence travel behavior. In this context, psychological factors play an important role in explaining travel-related decisions. The purpose of this paper is to present a study on the effects of cognitive, affective and behavioral attitudes towards the use of walking and cycling on both intentions and real use of cars, public transport, bicycles, and walking. The data used was obtained from an on-line survey carried out in 2017. Analyses included reliability and validity of the questionnaire, exploratory and confirmatory factor analyses, and structural equation models. Results indicate that cycling and walking are evaluated differently in terms of feelings of freedom, pleasure, and relaxation. Positive evaluation of elements related to past walking behavior are negatively associated to both the intention to walk and actual walking. Transport policies to encourage cycling should be different from those with the aim of promoting walking. Positive attitudes towards walking are not enough to increase real walking.

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“…Nowadays, the faults of drivers are the main cause of vehicle accidents. Due to the advent of AV technology, transportation has an opportunity to become more sustainable and secure [13].…”

Section: Introductionmentioning

confidence: 99%

Are People Ready to Entrust Their Safety to an Autonomous Ambulance as an Alternative and More Sustainable Transportation Mode?

Zarkeshev

Csiszár

2019

Sustainability

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Progress in advanced vehicular technologies and computer science leads to driverless vehicles becoming a reality. The standard ambulances might be replaced by driverless ambulances operated by an autopilot that provides passengers with a secure regime. Therefore, the study’s aim was to collate two different countries regarding the consumers’ preparedness to travel on such autonomous ambulances. To obtain a more demonstrative result, a questionnaire survey was conducted in two countries (Hungary and Kazakhstan). It also gathered ‘affect’ measures in order to figure out if ‘affect’ served as a medium between the ambulance mode and readiness to ride, and to understand whether emotions play any role during the decision making. The necessary data were collected through the so-called Autonomous Ambulance Acceptance Questionnaire. After conducting ‘t-Test’, ‘ANOVA’, and Mediation analysis, the findings have been discussed. The results help to realize the necessity of developing educational guides to prepare potential patients for Autonomous Vehicles technology.

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Exploring the Factors Affecting Mode Choice Intention of Autonomous Vehicle Based on an Extended Theory of Planned Behavior—A Case Study in China

Cited by 151 publications

References 71 publications

A SEM–Neural Network Approach to Predict Customers’ Intention to Purchase Battery Electric Vehicles in China’s Zhejiang Province

A SEM–Neural Network Approach to Predict Customers’ Intention to Purchase Battery Electric Vehicles in China’s Zhejiang Province

The Influence of Attitudes towards Cycling and Walking on Travel Intentions and Actual Behavior

Are People Ready to Entrust Their Safety to an Autonomous Ambulance as an Alternative and More Sustainable Transportation Mode?

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