Sustainability implications of connected and autonomous vehicles for the food supply chain

Heard, Brent R.; Taiebat, Morteza; Xu, Min; Miller, Stephen E.

doi:10.1016/j.resconrec.2017.09.021

Cited by 54 publications

(27 citation statements)

References 5 publications

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“…As brought up by several scholars such as Clements and Kockelman (), Heard et al. (), and Crayton and Meier (), the findings of this study also show a decline in the rate of employment due to automation of diesel HDTs. BE A‐HDT has been observed to increase employment; however, this increase is not due to the automation but is attributed to charging infrastructure‐related activities.…”

Section: Conclusion and Discussionsupporting

confidence: 76%

“…The authors agree with Heard et al. (), stating that the negative effects of the decrease in employment (e.g., physical and mental health (Crayton & Meier, )) must be mitigated while seeking improvements in the overall sustainability performance. When the HHI due to tailpipe emissions is taken into consideration, the HHI has been observed to decline by 45% owing to electrification and automation, despite the health impacts of current electricity generation.…”

Section: Conclusion and Discussionsupporting

confidence: 72%

“…They concluded based on the study result and ongoing developments that electric vehicles will be the prevailing choice by the time autonomous vehicle is introduced. Heard, Taiebat, Xu, and Miller () examined the sustainability implications of CAVs for supplying food without employing an analytical approach. The researchers pointed out the criticality of evaluating the environmental performance of the CAV technology and highlighted the importance of the inclusion of social aspects of the technology in assessing its economic impacts.…”

Section: Introductionmentioning

confidence: 99%

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Life cycle sustainability assessment of autonomous heavy‐duty trucks

Sen

Küçükvar

Onat

et al. 2019

J of Industrial Ecology

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Connected and automated vehicles (CAVs) are emerging technologies expected to bring important environmental, social, and economic improvements in transportation systems. Given their implications in terms of air quality and sustainable and safer movement of goods, heavy-duty trucks (HDTs), carrying the majority of U.S. freight, are considered an ideal domain for the application of CAV technology. An input-output (IO) model is developed based on the Eora database-a detailed IO database that consists of national IO tables, covering almost the entire global economy. Using the Eora-based IO model, this study quantifies and assesses the environmental, economic, and social impacts of automated diesel and battery electric HDTs based on 20 macro-level indicators.The life cycle sustainability performances of these HDTs are then compared to that of a conventional diesel HDT. The study finds an automated diesel HDT to cause 18% more fatalities than an automated electric HDT. The global warming potential (GWP) of automated diesel HDTs is estimated to be 4.7 thousand metric tons CO 2 -eq. higher than that of automated electric HDTs. The health impact costs resulting from an automated diesel HDT are two times higher than that of an automated electric HDT. Overall, the results also show that automation brings important improvements to the selected sustainability indicators of HDTs such as global warming potential, life cycle cost, GDP, decrease in import, and increase in income. The findings also show that there are significant trade-offs particularly between mineral and fossil resource losses and environmental gains, which are likely to complicate decision-making processes regarding the further development and commercialization of the technology.

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Section: Conclusion and Discussionsupporting

confidence: 76%

Section: Conclusion and Discussionsupporting

confidence: 72%

Section: Introductionmentioning

confidence: 99%

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Life cycle sustainability assessment of autonomous heavy‐duty trucks

Sen

Küçükvar

Onat

et al. 2019

J of Industrial Ecology

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“…log( ) = 567 log( 567 ) + (9) With data on VMT, fuel economy, gasoline prices, and travel time cost, we can fit this equation and estimate the key parameter of interest, 567 .…”

Section: A Model Of Private Vehicle Driving Decisionsmentioning

confidence: 99%

Forecasting the Impact of Connected and Automated Vehicles on Energy Use: A Microeconomic Study of Induced Travel and Energy Rebound

Taiebat

Stolper

2019

Applied Energy

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“…trucks, trains and ships) and drones, the technology has broad applicability across all industrial sectors. Autonomous transport systems will create opportunities to reduce costs and increase reliability and sustainability by improving resource efficiency due to emissions reductions, fuel efficient driving, improvement of traffic and most likely fewer accidents (Heard et al 2018;Bugdahn 2017;Chung et al 2018). Furthermore, the technology will lead to more agility due to easily reconfigurable systems and to increased transparency due to better communication in real-time between and within the systems (Nowak et al 2016).…”

Section: Distributed Ledger/blockchainmentioning

confidence: 99%

Technology Scouting to Accelerate Innovation in Supply Chain

Stute

Sardesai

Parlings

et al. 2021

Lecture Notes in Management and Industrial Engineering

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Digital technologies have gained ground among companies, researchers and policy makers in recent years due to their growing relevance to current and future supply chains. Technologies such as robotics, artificial intelligence, autonomous transport systems, data science, and additive manufacturing are gradually becoming part of people’s and companies’ daily lives and are changing the manufacturing, process industry and logistics sectors. Although recent attempts have been made to understand the implications of these technologies on supply chain management, the relevance of the different technologies in future scenarios is still unknown. Using a technology scouting approach, the most important enabling technologies for supply chains until 2030 are identified and selected and their implications on future supply chains are evaluated using an assessment methodology with different evaluation criteria.

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Sustainability implications of connected and autonomous vehicles for the food supply chain

Cited by 54 publications

References 5 publications

Life cycle sustainability assessment of autonomous heavy‐duty trucks

Life cycle sustainability assessment of autonomous heavy‐duty trucks

Forecasting the Impact of Connected and Automated Vehicles on Energy Use: A Microeconomic Study of Induced Travel and Energy Rebound

Technology Scouting to Accelerate Innovation in Supply Chain

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