EU member states face significantly higher sustainability awareness regarding safety, environmental and efficient mobility concerns of citizens. The paper aims to assess how to access the acceptance of automated logistics technology that is developed as a case study at the main campus of the Sapienza University of Rome, considering safety and service efficiency questions, willingness to use the service also in an urban environment. To reach this, a user needs analysis was conducted to determine the target groups, with the following Acceptance questionnaire. The result is that the proposed automated service is expected to be used more by the younger age groups, although elder respondents have also expressed an interest, and do be accepted by transport sector employees and students. Regression analysis indicates a significant value for acceptance and automated logistics scenario.
Acceptance Evaluation of Automated Logistics Services: Case Study in Rome / Capkin, SEVKET OGUZ KAGAN; Azarko, Anastasiya. - In: TRANSPORTATION RESEARCH PROCEDIA. - ISSN 2352-1465. - 72:(2023), pp. 4436-4443. [10.1016/j.trpro.2023.11.301]
Acceptance Evaluation of Automated Logistics Services: Case Study in Rome
Sevket Oguz Kagan Capkin
;Anastasiya Azarko
2023
Abstract
EU member states face significantly higher sustainability awareness regarding safety, environmental and efficient mobility concerns of citizens. The paper aims to assess how to access the acceptance of automated logistics technology that is developed as a case study at the main campus of the Sapienza University of Rome, considering safety and service efficiency questions, willingness to use the service also in an urban environment. To reach this, a user needs analysis was conducted to determine the target groups, with the following Acceptance questionnaire. The result is that the proposed automated service is expected to be used more by the younger age groups, although elder respondents have also expressed an interest, and do be accepted by transport sector employees and students. Regression analysis indicates a significant value for acceptance and automated logistics scenario.File | Dimensione | Formato | |
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