摘要
为模拟新城土地利用的空间分布,运用离散选择理论,对Lowry模型中居住选址和活动选址的分布函数进行修正.将居民的选址效用定义为有关土地租金和交通区位的线性组合,建立家庭参与住宅和活动分配的平衡等式,构建新城土地利用与交通模型,并设计混合遗传算法进行求解.以广州南沙新城数据为支撑,对模型和算法进行参数标定及验证.结果显示:该模型对居住选址和活动选址的分布具有良好的解析能力,能为合理调配人口分布和就业格局提供依据,适用于新城发展的短期运行,具有较好的适应性和实用性.
In order to simulate the spatial distribution of land use in new town,this paper proposes a land use and Transportation model in new town based on land prices and traffic location.The distribution function of living and activities in Lowry model is firstly revised by discrete choice theory.Meanwhile,the resident＇ s site selection utility is defined as a linear model about land rent and traffic location.And then,a balance equation is set up to simulate the assignment of house and activities,and a hybrid genetic algorithm for solving the model is also presented.At last,Guangzhou Nansha new town is taken as the empirical study area to test and verify the model and algorithm.The results reveal that the model is able to analyze the spatial distribution of land use and provide the basis for rational assignment of population and employment in Nansha new town＇ s short-term development.All these demonstrate the model is effective and available in practice.
出处
《交通运输系统工程与信息》
EI
CSCD
北大核心
2014年第1期20-27,共8页
Journal of Transportation Systems Engineering and Information Technology
基金
国家自然科学基金资助项目(61174188)
关键词
交通工程
土地利用与交通模型
交通区位
新城
混合遗传算法
traffic engineering
land use and transportation model
location
new town
hybrid genetic algorithm
