Development of Public Dynamic Spatio-Temporal Monitoring and Analysis Tool of Supply Chain Vulnerability, Resilience, and Sustainability

Jaller, Miguel; Jenn, Alan; University of California, Davis, Institute of Transportation Studies; Pacific Southwest Region 9 UTC, University of Southern California

doi:10.25554/8a5s-dd40

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Development of Public Dynamic Spatio-Temporal Monitoring and Analysis Tool of Supply Chain Vulnerability, Resilience, and Sustainability

2024-09-01
By Jaller, Miguel ; Jenn, Alan

[PDF-4.41 MB]

English

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Details:

Creators:

Jaller, Miguel ; Jenn, Alan

Jaller, Miguel ; Jenn, Alan Less -
Corporate Creators:

University of California, Davis, Institute of Transportation Studies ; Pacific Southwest Region 9 UTC, University of Southern California

University of California, Davis, Institute of Transportation Studies ; Pacific Southwest Region 9 UTC, University of Southern California Less -
Corporate Contributors:

United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology

United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology Less -
Subject/TRT Terms:

[+]

Cargo Handling Consumers Decision Making Economic Growth Macroeconomics Monitoring Resilience (Materials) Supply Chain Management Sustainable Development
Publication/ Report Number:

PSR-22-46
DOI:

https://doi.org/10.25554/8a5s-dd40
Resource Type:

Tech Report
Geographical Coverage:

California ; United States

California ; United States Less -
Edition:

Final report (July 2023 – August 2024)
Corporate Publisher:

Pacific Southwest Region 9 UTC, University of Southern California
Abstract:

Supply chains play a pivotal role in driving economic growth and societal well-being, facilitating the efficient movement of goods from producers to consumers. However, the increasing frequency of disruptions caused by geopolitical events, pandemics, natural disasters, and shifts in commerce poses significant challenges to supply chain resilience. This report discusses the development of a dynamic spatio-temporal monitoring and analysis tool to assess supply chain vulnerability, resilience, and sustainability. Leveraging news data, macroeconomic metrics, inbound cargo data (for sectors in California), and operational conditions of California’s highways, the tool employs Natural Language Processing (NLP) and empirical regression analyses to identify emerging trends and extract valuable information about disruptions to inform decision-making. Key features of the tool include sentiment analysis of news articles, topic classification, visualization of geographic locations, and tracking of macroeconomic indicators. By integrating diverse and dynamic data sources (e.g., news articles) and using empirical and analytical techniques, the tool offers a comprehensive framework to enhance our understanding of supply chain vulnerabilities and resilience, ultimately contributing to more effective strategies for decision-making in supply chain management. The dynamic nature of this tool enables continuous monitoring and adaptation to evolving conditions, thereby enhancing the analysis of resilience and sustainability in global supply chains.
Format:

PDF
Funding:

USDOT Grant 69A3551747109
Collection(s):

University Transportation Centers
Main Document Checksum:

[+]

urn:sha-512:d6d10b137143588e10bdb630251228e4302b8e50a799d556b2d8f96b853c06be904e1f9b3135553b95ceff60188ba68e28aa912bfbbe5b02b337ef492919a498
Download URL:

https://rosap.ntl.bts.gov/view/dot/78465/dot_78465_DS1.pdf
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Development of Public Dynamic Spatio-Temporal Monitoring and Analysis Tool of Supply Chain Vulnerability, Resilience, and Sustainability

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