Environmental Implications of Smart Logistics System for Agricultural Products based on Real-time Activity Data of Metropolitan Transportation Network
Abstract
Complex distribution stages of various agricultural products have been formidable obstacles for direct transaction between farmers and consumers. For direct dealing of agricultural products, transaction stages should be simplified to increase economic efficiency and profits. Especially, the characteristics of agricultural products can affect limited distribution time comparing to manufacturing goods and high delivery cost by volume and weight considering product price. The growing desire of consumers for safe and fresh food has increased the demand for direct transaction of agricultural products. We can easily find many idling resources which are available but unused. Those resources can be changed to valuable resources with ICT applications. Ultimately, it can contribute to increase common social interests and benefits.
The purpose of this research is to evaluate environmental impacts of direct transaction of agricultural products using idling delivery resources. Our smart logistics system is designed for agricultural product delivery based on real-time activity data of metropolitan transportation systems. The current empty containers of transportation system can be potential idling delivery resources for agricultural products of various regions. Our logistics system can maximize the efficiency of bus containers through calculating the expected potential space based on reported luggage information of passengers. To design the smart logistics systems, we suggested a mixed service of passengers and cargo for direct transaction of agricultural products from production in rural areas to consumption in urban areas. Environmental impact categories of the smart logistics system were included such as global warming potential (GWP), particulate matter potential (PM), and other environmental impacts related to transport activities. This research was supported by National Research Foundation of Korea (NFR) grant funded by the Korea government (Ministry of Science and ICT) (NO. NRF-2017R1E1A1A01078227).- Publication:
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AGU Fall Meeting Abstracts
- Pub Date:
- December 2019
- Bibcode:
- 2019AGUFM.B31E..06K
- Keywords:
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- 0402 Agricultural systems;
- BIOGEOSCIENCES;
- 0480 Remote sensing;
- BIOGEOSCIENCES;
- 1926 Geospatial;
- INFORMATICS;
- 1942 Machine learning;
- INFORMATICS