Application of Multi-agent Models to Urban Expansion in Medium and Small Cities: A Case Study in Fuyang City,Zhejiang Province,China

In this study, three-phase satellite images were used to define rules for the allocation of time and space in construction land resources based on a complex adaptive system and game theory. The decision behavior and rules of government agent, enterprise agent and resident agent in construction land growth were explored. A distinctive and dynamic simulation model of construction land growth was built, which integrated multi-agent, GIS technology and RS data and described the interaction among influencing agents, Taking Fuyang City in the Changjiang River Delta as an example, an assessment process for the remote sensing data in construction land and scenario planning was constructed. Repast and ArcGIS were used as simulation platforms. A simulation of the spatial pattern in land-use planning and the setting of scenario planning were conducted by using the incomplete active game, which was based on different natural, social and economic levels. Through this model, a simulation of urban planning space and decision-making for Fuyang City was created. Relevant non-structured problems arising from urban planning management could be identified, and the process and logic of urban planning spatial decision-making could thus be improved. Cell-by-cell comparison showed that the simulation accuracy was over 72%. This model has great potential for use by government and town planners in decision support and technique support in the policy-making process.

Public Initiatives Aiming at the Cycling System in a City in Southern Brazil

The discussion about the use of the bicycle as a means of transport has been gaining importance on a global scale,although countries like Brazil still have urban mobility difficulties caused by how urban densification occurs,the growing number of motor vehicles and the lack of space for the construction of cycle paths in cities.The general objective of this manuscript is to analyze the result of public policies aimed at the implementation of bicycle paths,with the“Passo Fundo Vai de Bici”Program created to investigate the variations in intensity in relation to the areas served by the current incentive for active cycling mobility in the city of Passo Fundo(South of Brazil).Methodologically,Google Earth Pro satellite images were used to map the existing bike paths in the city.Subsequently,geographic coordinate points and altitudes of specific locations on the bike paths and bike sharing stations were collected,generating a database,transferred to the Qgis 3.10 software for the preparation of heat maps.The results showed the lack of integration between the cycling systems analyzed by the distance factor,needing to encourage discussions about its expansion and functionality,consolidating it as an urban public policy of local functionality to foster sustainable transport.