关键词：混合土地，公共交通，智能增长，空间句法，可步行性
摘 要：发展技术和最大限度地利用地下资源导致了一些城市问题的出现。智能增长(SG)是解决不同问题的实用原则之一，如交通问题、空气和噪音污染、城市扩张等。在这篇文章中，研究了智能增长的三个参数，即公共交通的可达性、可步行性和混合土地利用，以及空间句法理论的主要参数，包括伊朗东北部城市Bojnourd的三个不同城区(旧、中、现代)的整合和连通性。通过对这些参数的分析，给出了所选SG指标与空间句法指标之间的关系。ANP方法也被用于改进决策并对标准的重要性进行分级；最后，使用TOPSIS模型对各区进行了可步行性和公共交通的分级。混合土地利用指数还通过香农熵公式计算了11种土地利用。研究结果表明，智能增长指标与空间句法指标之间存在着内在的联系和相关性。给定的解决方案可以作为解决城市问题和推进可持续发展目标的重要步骤。
Abstract:Developing technology and maximum usage of underground resources have led to the rise of several urban problems. Nonetheless, smart growth (SG) is one of the practical principles for solving different issues, such as traffic problems, air and noise pollution, urban sprawling, etc. In this article, three parameters of smart growth, namely: accessibility to public transportation, walkability, and mixed land use, and the main parameters of space syntax theory including, integration and connectivity in three different urban districts (old, middle, and modern) in the city of Bojnourd, the city in north-eastern of Iran have been investigated. By analysing these parameters, the relationship between selected SG indices and space syntax indexes has been presented. The ANP approach was also applied to improve decision-making and to grade the importance of criteria; districts were finally graded using the TOPSIS model concerning walkability, and access to public transportation. The mixed-land uses index was also calculated by examining 11 land uses through the Shannon entropy formula. The results indicate that there is an internal relationship and correlation between smart growth indicators and space syntax ones. Additionally, given solutions can be taken as a significant step to tackle urban issues and advance sustainable development aims.
Key: Mixed Land, Public Transportation, Smart Growth, Space Syntax, Walkability
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