| Autor: |
Mario E. Vallejo, Guillermo Balandran Tellez, Maria de la Luz Guzman Castaneda, Cecilia Cobian, Victor M. Larios, Veronica Gutierrez Magallanes |
| Rok vydání: |
2021 |
| Předmět: |
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| Zdroj: |
ISC2 |
| DOI: |
10.1109/isc253183.2021.9562795 |
| Popis: |
This article deals with reducing the carbon footprint in the food supply chain in Smart Cities. This sector represents one of the eight dimensions that generate more than fifty percent of global greenhouse gas emissions. During the Covid 19 pandemic, the decrease in these gases worldwide was only four to seven percent even with the overall restrictive mobility and containment measures. We develop a digital twin using a logistic case simulation of the Guadalajara Metropolitan Area (GMA) to represent the process. It is the third largest city in Mexico, with more than five million inhabitants in eight municipalities. We propose a redesign of the distribution of raw material mobility for microbusinesses oriented to the high frequency consumer, using the Taco as the most consumed economic object in the city and the country. The Agent Based Model is used to model the systems structure and simulate the dynamic evolution over time. With the results of this work, we intend to propose a methodology to contribute to resiliency to climate change in Smart Cities. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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