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Prediction Of The Distribution Based On Gis And Multi-agent Beijing Population

Posted on:2012-03-30Degree:MasterType:Thesis
Country:ChinaCandidate:Y MaFull Text:PDF
GTID:2207330332992941Subject:Cartography and Geographic Information System
Abstract/Summary:PDF Full Text Request
China has entered a rapid development of urbanization stage as a rapid economic development. At the same time, with urban growth has led to a variety of social and environmental problems, such as traffic congestion, green weakened and air pollution. Urban planning departments of the formulation of strategy and planning used a variety of methods and a number of tools to alleviate these problems, the most common methods are GIS and mathematical statistics. The traditional methods have a common weakness, that is, the future population distribution cannot be effectively predicted.Spatial properties is the core of GIS data model, and the model is essentially static, so GIS tools only process a limited aspects of the processing time. In contrast with the GIS, the t time-process only handle of knowledge of action, but limited when dealing with spatial data. Therefore, If GIS and multi-agent technology tightly integrated to expression of urban development will be more accurate. Object-oriented approach promoted the integration between spatial data and spatial process model. This paper choice C# programming and integrated multi-agent platform of Repast and set the details attribute of details agent. Then, proposed a program of integrate GIS with agent, and eventually through the shpaefile middleware integrated with GIS. In the simulation, a series of independent agent be built by Repast, they are interactive by discrete events of green space, traffic, housing prices, simulation of the objective world or urban evolution.This paper describes the migration model, background and the theory of support at home and abroad at first, then use the idea of integration GIS with agent modeling.Then proposed the establishment of the core migration based on space-time model:the time and space mechanism of migration, the description of the time and space mechanism is mainly based on the actual situation of Beijing and the data on the hands, then proposed based on temporal information design the model.The results show that the population of Beijing by 2015 is more regular. The population is mostly concentrate between ring road of four and five, although the population keeps continues growth, but the rate is slowly down. The direction of the urban development showed that there have multi-center aggregation and distribution to two directions. The government overcome the urban sprawl and the center of recession through the laying of lines, traffic planning and construct the green belts. Not only reduces the density of population, but also to prevent the occurrence of hollow city. Shows that the Government's macro-control have played a certain role.
Keywords/Search Tags:Agent, GIS, City Population Distribution Prediction Model, Tight Integration
PDF Full Text Request
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