首页 | 本学科首页   官方微博 | 高级检索  
     

Street networks in relation to landforms: Implications for fast-growing cities
引用本文:Nahid MOHAJERI,Agust GUDMUNDSSON. Street networks in relation to landforms: Implications for fast-growing cities[J]. 地理学报(英文版), 2014, 24(2): 363-381. DOI: 10.1007/s11442-014-1093-3
作者姓名:Nahid MOHAJERI  Agust GUDMUNDSSON
作者单位:[1]Department of Geography, University College London, Gower Street, Pearson Building, London, WCIE 6BT, UK [2]Solar Energy and Building Physics Laboratory (LESO-PB), Ecole Polytechnique Federale de Lausanne(EPFL), 1015 Lausanne, Switzerland [3]Department of Earth Sciences, Queen's Building, Royal Holloway University of London, Egham TW20 0EX,UK
摘    要:In addition to socio-economic factors, major landforms may affect the city structure and urban form. Here we show that landforms have significant effects on the city shape and street patterns of the fast-growing Iranian cities of Dezful (a river) and Khorramabad (moun- tains and valleys), but no clear effects on the cities of Yazd and Nain. Also, where the street orientation is peaked, the Gibbs/Shannon entropy (a measure of dispersion or spread) is low, but increases as the distribution becomes more uniform because of landform constraints. The streets in the old inner parts of all the cities are, on average, shorter and denser (more streets per unit area) than the streets of the newer outer parts. The entropies of the outer parts are also greater than those of the inner parts, implying that the street-length distribution gradually becomes more dispersed or spread as the city expands. All these cities have been fast growing in the past decades, with the newer outer parts expanding rapidly. As shown here, the rapidly formed outer parts (with greater dispersion in street patterns) have significantly different textures from those of the older inner parts, indicating different functionality and growth processes. These quantitative methods for street-network analysis can be used worldwide, particularly for analysing the effects of landforms on city shape and texture.

关 键 词:城市形态  网络分析  街道  地貌  社会经济因素  分散液  城市结构  单位面积

Street networks in relation to landforms: Implications for fast-growing cities
Nahid Mohajeri,Agust Gudmundsson. Street networks in relation to landforms: Implications for fast-growing cities[J]. Journal of Geographical Sciences, 2014, 24(2): 363-381. DOI: 10.1007/s11442-014-1093-3
Authors:Nahid Mohajeri  Agust Gudmundsson
Affiliation:1. Department of Geography, University College London, Gower Street, Pearson Building, London, WC1E 6BT, UK
2. Solar Energy and Building Physics Laboratory (LESO-PB), Ecole Polytechnique Fédérale de Lausanne (EPFL), 1015, Lausanne, Switzerland
3. Department of Earth Sciences, Queen’s Building, Royal Holloway University of London, Egham, TW20 0EX, UK
Abstract:In addition to socio-economic factors, major landforms may affect the city structure and urban form. Here we show that landforms have significant effects on the city shape and street patterns of the fast-growing Iranian cities of Dezful (a river) and Khorramabad (mountains and valleys), but no clear effects on the cities of Yazd and Nain. Also, where the street orientation is peaked, the Gibbs/Shannon entropy (a measure of dispersion or spread) is low, but increases as the distribution becomes more uniform because of landform constraints. The streets in the old inner parts of all the cities are, on average, shorter and denser (more streets per unit area) than the streets of the newer outer parts. The entropies of the outer parts are also greater than those of the inner parts, implying that the street-length distribution gradually becomes more dispersed or spread as the city expands. All these cities have been fast growing in the past decades, with the newer outer parts expanding rapidly. As shown here, the rapidly formed outer parts (with greater dispersion in street patterns) have significantly different textures from those of the older inner parts, indicating different functionality and growth processes. These quantitative methods for street-network analysis can be used worldwide, particularly for analysing the effects of landforms on city shape and texture.
Keywords:street networks  entropy  landscapes  GIS  spatial analysis
本文献已被 CNKI 维普 SpringerLink 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号