A GIS Agent-based Supply Chain Simulation Model to Analyze the Urban Goods Transport System.
Nominated for The Planning for Sustainable Land Use and Transport Award
Pedro David Gutierrez Quijano, Universidad Nacional De Colombia, Ivan Dario Cardenas Barbosa, Universidad Nacional De Colombia, Wilson Adarme Jaimes, Universidad Nacional De Colombia
In this paper we focus on the urban goods transport system that emerges by the combined effect of different supply chains, we analize the viability of using a GIS computer simulation model-based
The accelerated movement of people and goods is essential to economic growth in the cities, day a day governments invest a big part of your funds for building and operating roads and transit systems. Some of the most important issues facing cities everywhere are traffic congestion, urban sprawl and segregation. While suburbs battle for more roads, central cities press for transit improvements. If we regard urban transport as a result of the combined effect of many micro-transport systems of goods and people, each one of these affect negatively the urban mobility. The study of the combined effect of some of these micro-transport systems is an effective way to understand the problem by a holistic approach and consequently to propose new solutions. Computer simulation has great potential to become the best tool when examining how transport system operate, it allows us test different hypotheses and theories for urban change, thus leading to a greater understanding of how cities work. The use of ABM allow us to model behaviors, negotiations and other social properties of the system’s entities represented as agents, it can also help with understanding the emerging system’s behaviors from an independent level. For simplify the analysis of urban transport system in this paper we focus on the urban goods transport system that emerges from the combined effect from different supply chains. This paper discusses about how and what is the viability for develop a macro simulation model that allow us to analyze the combined affect between different micro urban goods transport systems, it based on fact that each one of these micro-transport systems can be modeled as a general GIS Agent-based supply chain model.
Association for European Transport