In land-use planning, the land-use mixed-ness is widely discussed as a pivotal factor that is highly related to smart growth and sustainable development goals, such as improving accessibility, socially-friendly walkable areas, social health outcomes, and quality of life. Despite proposing several indices, measuring land-use mixed-ness has always struggled with complexities such as determining land-use priorities, distance, and attributes, which needs a robust framework to consider for ideal mixed-ness and being improved constantly. By combining both divisional and integral indices, this paper has proposed a multi-component novel measure, which considers quantity, importance, distance, and balance in land-uses mixture along streets as main corridors of the daily commute in Tehran, Iran; named Mixed-use Distribution Index (MUDI). First, the measure calculates indices for land-use combination (LWC) and residential to non-residential land-uses (RR) in equal street sections. Then, the Gini index with some innovative spatial manipulation was applied to capture the evenness of ideal values of each index among streets’ sections. Finally, the MUDI of the street was achieved by averaging two Gini indices. Comparing Gini and MUDI values with current characteristics of the case study, accessibility level, and allocation of some land-uses claims for the measure's reliability to employ in land-use planning evaluations.

中文翻译：

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混合用途分布指数：解决城市土地利用混合模式的新型双层措施（伊朗德黑兰的案例研究）


在土地利用规划中，土地利用混合性被广泛讨论为与精明增长和可持续发展目标高度相关的关键因素，例如改善可达性、社会友好的步行区域、社会健康成果和质量生活。尽管提出了多个指数，但衡量土地利用混合度始终面临着确定土地利用优先级、距离和属性等复杂问题，这需要一个强大的框架来考虑理想的混合度并不断改进。通过结合分区指数和整体指数，本文提出了一种多成分的新颖衡量标准，该衡量标准考虑了伊朗德黑兰日常通勤主要走廊街道沿线土地利用混合的数量、重要性、距离和平衡；称为混合用途分布指数（MUDI）。首先，该措施计算相同街道部分的土地利用组合（LWC）和住宅与非住宅土地利用（RR）指数。然后，应用具有一些创新空间操作的基尼指数来捕获街道部分中每个指数的理想值的均匀性。最后，通过对两个基尼指数进行平均得到该街道的MUDI。将基尼系数和 MUDI 值与案例研究的当前特征、可达性水平以及一些土地利用声明的分配进行比较，以确保该措施在土地利用规划评估中的可靠性。