Factors affecting intention and attitude toward sidewalk autonomous delivery robots among online shoppers

Edrisi, Ali; Ganjipour, Houmaan

doi:10.1080/03081060.2022.2134127

Cited by 17 publications

(8 citation statements)

References 70 publications

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“…The results of this modeling are presented in Table 3. As it is clear from this table, all factor loadings are statistically significant and greater than 0.5 [32]. Cronbach's alpha should be greater than 0.6 [38], which is correct for all variables.…”

Section: Measurement Modelmentioning

confidence: 84%

“…This model evaluates the relationships between the latent variables and their observable indicators (called the measurement model) and the relationships between the latent variables with each other (called the structural model). Also, in this model, measurement errors for observable variables are considered [32]. The structural equation model has two different methods: 1) covarianceoriented method, and 2) variance-oriented method.…”

Section: Resultsmentioning

confidence: 99%

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A Model for Evaluating Drivers' Mean Speed : Using Psychological and Driving Simulator Data

javanbakht,

mirbaha

2023

Numerical Methods in Civil Engineering

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Driving speed has always played an important role in safety. Many variables influence the driver's behavior to choose the speed, one of which is the individual's psychological variables. In this study, the direct and indirect relationship of a series of psychological variables (latent variables) on the mean speed and the relationship of the latent variables with each other have been investigated. For this purpose, two questionnaires of aggressive drivers and DBQ were used. Also, a driving simulator was used to record the mean speed of the driver . The number of participants was 71 (38% women and 62% men) who were selected randomly from the city of Tehran through the use of advertisements. one proposed model that includes 8 hypotheses was modeled using the structural equation model (partial least square method) that hypotheses were significant at the 99% level. And the results showed that there is a direct relationship between attitude with hostile behavior (H1), hostile behavior with risky violation (H3) , hostile behavior with Self-willed violation (H4), risky violation with Self-willed violation (H5) and Self-willed violation with Inexperience violation/error (H6). subjective norm have inverse relationship with risky violation (H2). Also, people who have a high Self-willed violation usually drive at a high speed (H7). The maximum value of the impact coefficient was recorded as 0.57, which is specifically associated with the sixth hypothesis.

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Section: Measurement Modelmentioning

confidence: 84%

Section: Resultsmentioning

confidence: 99%

A Model for Evaluating Drivers' Mean Speed : Using Psychological and Driving Simulator Data

javanbakht,

mirbaha

2023

Numerical Methods in Civil Engineering

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“…Men were more likely than women to accept ADRs. In other surveys by Edrisi and Ganjipour [18] and Ganjipour and Edrisi [19], acceptance has been shown to be influenced by customers' attitudes towards ADRs. In particular, customers with positive attitudes towards ADRs were relatively likely to use them, whereas customers who perceived ADRs as being complicated were not.…”

Section: Acceptancementioning

confidence: 88%

Autonomous last-mile delivery robots: a literature review

Alverhed,

Hellgren,

Isaksson

et al. 2024

Eur. Transp. Res. Rev.

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This literature review investigates how self-driving autonomous delivery robots (ADRs) impact last-mile deliveries, add value to the logistics and transport industry, and contribute to creating competitive business models. Autonomous vehicles are still a developing technology and ADRs could possibly be one of the solutions to the last-mile problem, in particular in cities and for urban freight with an increasing number of parcels to deliver. Last-mile delivery is also changing as e-commerce and more demanding customers emerge. Such development, however, faces challenges regarding infrastructure, externalities such as CO2 emissions, and shorter delivery-time requirements. This review, focused on ADRs, reveals four major themes (operations, infrastructure, regulations, and acceptance) through which we explain the barriers and benefits of using ADRs for last-mile deliveries. The review shows that the operations of ADRs can impact last-mile deliveries by lowering costs, optimising the use of time, and reducing externalities. The review also shows that the foundation of last-mile infrastructure would have to change if ADRs are to be used to a greater extent. Regulations for ADRs are still not yet in place, which makes the market somewhat confused. The acceptance of ADRs in society is another challenge because the innovation of ADRs is still new and unfamiliar. Altogether, the use of ADRs for last-mile deliveries shows great potential, based on the promising results of the articles reviewed. However, most studies on ADRs have been theoretical in nature, such as models, which highlights the need for real-world case studies and implementations.

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“…The technology acceptance model (TAM), unified theory of acceptance and usage of technology (UTAUT), and task-technology fit (TTF) model have been used to study consumer acceptance of autonomous delivery robots (ADRs) [ [52] , [53] , [54] ] or ADVs [ 7 , 9 , 55 ]. However, to the best of the author's knowledge.…”

Section: Conclusion and Discussionmentioning

confidence: 99%

Application of the extended value-belief-norm (VBN) theory to understand consumers’ intention to use autonomous delivery vehicles (ADVs)

Chunhua,

Shuo,

Zhirong

et al. 2023

Heliyon

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Factors affecting intention and attitude toward sidewalk autonomous delivery robots among online shoppers

Cited by 17 publications

References 70 publications

A Model for Evaluating Drivers' Mean Speed : Using Psychological and Driving Simulator Data

A Model for Evaluating Drivers' Mean Speed : Using Psychological and Driving Simulator Data

Autonomous last-mile delivery robots: a literature review

Application of the extended value-belief-norm (VBN) theory to understand consumers’ intention to use autonomous delivery vehicles (ADVs)

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