Simulation-based algorithm for determining best package delivery alternatives under three criteria: Time, cost and sustainability

Rajendran, Suchithra; Harper, Aidan

doi:10.1016/j.trip.2021.100484

Cited by 10 publications

(5 citation statements)

References 21 publications

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“…( 2022 ) USA Figliozzi and Unnikrishnan ( 2021 ), Giunipero et al. ( 2021 ), Nagurney ( 2021 ), Rajendran and Harper ( 2021 ) India Mondal and Roy ( 2021 ), Paul and Venkateswaran ( 2020 ), Srinivas and Marathe ( 2021 ) Iran Goodarzian et al. ( 2021 ), Hosseini-Motlagh et al.…”

Section: Review Of the Literaturementioning

confidence: 99%

“…( 2021 ), Qian and Ukkusuri ( 2021 ), Rahman et al. ( 2021 ), Rajendran and Harper ( 2021 ), Reul et al. ( 2021 ), Simsek et al.…”

Section: Review Of the Literaturementioning

confidence: 99%

“…( 2021 ), Monmousseau et al. ( 2020 ), Rajendran and Harper ( 2021 ), Reul et al. ( 2021 ), Sun et al.…”

Section: Review Of the Literaturementioning

confidence: 99%

“…( 2021 ), Pasaribu et al. ( 2021 ), Qian and Ukkusuri ( 2021 ), Rajendran and Harper ( 2021 ),Sun et al. ( 2020 ), Sun et al.…”

Section: Mobility/transportation Data Collecting Streams During Pande...mentioning

confidence: 99%

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Data analytics during pandemics: a transportation and location planning perspective

2022

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The recent COVID-19 pandemic once again showed the value of harnessing reliable and timely data in fighting the disease. Obtained from multiple sources via different collection streams, an immense amount of data is processed to understand and predict the future state of the disease. Apart from predicting the spatio–temporal dynamics, it is used to foresee the changes in human mobility patterns and travel behaviors and understand the mobility and spread speed relationship. During this period, data-driven analytic approaches and Operations Research tools are widely used by scholars to prescribe emerging transportation and location planning problems to guide policy-makers in making effective decisions. In this study, we provide a review of studies which tackle transportation and location problems during the COVID-19 pandemic with a focus on data analytics. We discuss the major data collecting streams utilized during the pandemic era, highlight the importance of rapid and reliable data sharing, and give an overview of the challenges and limitations on the use of data.

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Section: Review Of the Literaturementioning

confidence: 99%

“…( 2021 ), Qian and Ukkusuri ( 2021 ), Rahman et al. ( 2021 ), Rajendran and Harper ( 2021 ), Reul et al. ( 2021 ), Simsek et al.…”

Section: Review Of the Literaturementioning

confidence: 99%

“…( 2021 ), Monmousseau et al. ( 2020 ), Rajendran and Harper ( 2021 ), Reul et al. ( 2021 ), Sun et al.…”

Section: Review Of the Literaturementioning

confidence: 99%

“…( 2021 ), Pasaribu et al. ( 2021 ), Qian and Ukkusuri ( 2021 ), Rajendran and Harper ( 2021 ),Sun et al. ( 2020 ), Sun et al.…”

Section: Mobility/transportation Data Collecting Streams During Pande...mentioning

confidence: 99%

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Data analytics during pandemics: a transportation and location planning perspective

2022

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“…It has been noted that "the rapid growth of e-commerce and package deliveries across the globe is demanding new solutions to meet customers' desire for more and faster deliveries" [8]. Accordingly, "with the significant rise in demand for same-day instant deliveries, several courier services are exploring alternatives to transport packages in a cost-and time-effective, as well as, sustainable manner" [23]. Thus, an understanding of the determinants leading to the acceptance of this technology by end-users is of value to stakeholders.…”

Section: Introductionmentioning

confidence: 99%

Investigating End-User Acceptance of Last-Mile Delivery by Autonomous Vehicles in the United States

Saravanos

Verni

Moore

et al. 2022

Lecture Notes in Computer Science

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This paper investigates the end-user acceptance of last-mile delivery carried out by autonomous vehicles within the United States. A total of 296 participants were presented with information on this technology and then asked to complete a questionnaire on their perceptions to gauge their behavioral intention concerning acceptance. Structural equation modeling of the partial least squares flavor (PLS-SEM) was employed to analyze the collected data. The results indicated that the perceived usefulness of the technology played the greatest role in end-user acceptance decisions, followed by the influence of others, and then the enjoyment received by interacting with the technology. Furthermore, the perception of risk associated with using autonomous delivery vehicles for last-mile delivery led to a decrease in acceptance. However, most participants did not perceive the use of this technology to be risky. The paper concludes by summarizing the implications our findings have on the respective stakeholders, and proposing the next steps in this area of research.

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Flexible sensing enabled packaging performance optimization system (FS-PPOS) for lamb loss reduction control in E-commerce supply chain

Jinchao

Zihan

et al. 2023

Food Control

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Simulation-based algorithm for determining best package delivery alternatives under three criteria: Time, cost and sustainability

Cited by 10 publications

References 21 publications

Data analytics during pandemics: a transportation and location planning perspective

Data analytics during pandemics: a transportation and location planning perspective

Investigating End-User Acceptance of Last-Mile Delivery by Autonomous Vehicles in the United States

Flexible sensing enabled packaging performance optimization system (FS-PPOS) for lamb loss reduction control in E-commerce supply chain

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