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  • 标题:Research on Slow Traffic Forecast based on Land Use: A Case Study of Xi’an City
  • 本地全文:下载
  • 作者:Qiuping Wang ; Qiuping Wang ; Siying Wang
  • 期刊名称:Procedia - Social and Behavioral Sciences
  • 印刷版ISSN:1877-0428
  • 出版年度:2013
  • 卷号:96
  • 页码:925-932
  • DOI:10.1016/j.sbspro.2013.08.106
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractTaking Xi’an city as an example, this paper analyzes the impact of land use on slow traffic. The volume of slow traffic generation is mainly influenced by urban land use, such as the land-use type, the land development intensity, the population, the labor resources, each kind of the employment opportunities and the education opportunities. First, the quantitative relationship between the slow traffic generation and the relative indexes is established in the case of usual residential districts, shopping centers, and office buildings in some area of Xi’an. On this basis the paper forecasts the slow traffic generation of each land use type through investigating the economic indexes of the land combination of Li Jiacun cross in Xi’an. And then the paper builds up the relational model between land use and slow traffic. Finally, it puts forward some questions to be considered in using the slow traffic generation forecast method related to land use. This study is expected to provide reference for forecasting land use-slow traffic in the future year according to the related data of proposed development in Xi’an city.
  • 关键词:Slow traffic;Generation forecast;Land use;Land use function;Section slow-traffic
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