...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Papers in regional science >POPULATION AND EMPLOYMENT DENSITY FUNCTIONS REVISITED: A SPATIAL INTERACTION APPROACH
【24h】

POPULATION AND EMPLOYMENT DENSITY FUNCTIONS REVISITED: A SPATIAL INTERACTION APPROACH

机译：修订的人口和就业密度函数：一种空间互动方法

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The gravity-based Garin-Lowry model, which generates urban population and service employment distributions for a given pattern of basic employment, has often been used in case studies. However, few analytical results or general functional forms have been derived from it. To remedy this shortcoming, this article proposes a generalized urban spatial structure and transportation network, and adapts the Garin-Lowry model to simulate both population and service employment densities in this hypothetical, yet realistic, city. The model is solved numerically while varying exogenous factors such as the distance friction coefficients and the spatial distribution of basic employment. The computed density functions often display regularities and features commonly observed in empirical density analyses. The results are generalized by estimating, via regression analysis, density functions over a large sample of simulated density patterns, pointing to the critical importance of transportation costs and basic employment distribution, and providing a basis for further empirical studies.
机译：基于重力的Garin-Lowry模型通常在案例研究中使用，该模型针对给定的基本就业模式生成城市人口和服务业就业分布。但是，从中得出的分析结果或一般功能形式很少。为了弥补这一缺点，本文提出了一种广义的城市空间结构和交通网络，并采用了Garin-Lowry模型来模拟该假设但现实的城市中的人口和服务业就业密度。在改变外生因素（例如距离摩擦系数和基本就业空间分布）的同时，对模型进行了数值求解。计算的密度函数通常显示经验密度分析中通常观察到的规律性和特征。通过回归分析来估计大量模拟密度模式样本的密度函数，从而得出结果的一般性，指出运输成本和基本就业分布的重要性，并为进一步的实证研究提供基础。

著录项

  • 来源
    《Papers in regional science》 |1998年第2期|189-211|共23页
  • 作者

    Jean-Michel Guldmann; Fahui Wang;

  • 作者单位

    Department of City and Regional Planning The Ohio State University Columbus Ohio USA;

    Department of Geography Northern Illinois University De Kalb Illinois USA;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号