作者: Mehdi Moeinaddini , Zohreh Asadi-Shekari , Zahid Sultan , Muhammad Zaly Shah , Amran Hamzah
DOI: 10.1080/03081060.2016.1187811
关键词: Geography 、 Urban design 、 Macro level 、 Variables 、 Transport engineering 、 Block (data storage) 、 TRIPS architecture 、 Street network 、 Transportation planning 、 Urban planning
摘要: There are factors that impact car usage in urban areas, such as density, diversity and design, but there have been few studies examine the relationship between street network at city level (macro level). This paper focuses on this by introducing variables, blocks per area, nodes block length of roads motorways, independent variables percentage daily trips private motorized modes dependent variable. The study includes interconnecting lines points present streets, roads, intersections blocks. strength is found using multiple linear regression. findings research indicate an increase correlated with increasing number motorways. In addition, because result macro-scale planning decisions, considering can lead to better decisions.