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Spatial Preference Modelling for equitable infrastructure provision: an application of Sen's Capability Approach

机译:公平基础设施提供的空间偏好建模:Sen的能力方法的应用

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To determine whether the inclusion of spatial neighbourhood comparison factors in Preference Modelling allows spatial decision support systems(SDSSs) to better address spatial equity, we introduce Spatial Preference Modelling(SPM). To evaluate the effectiveness of this model in addressing equity, various standardisation functions in both Non-Spatial Preference Modelling and SPM are compared. The evaluation involves applying the model to a resource locationallocation problem for transport infrastructure in the Special Province of Yogyakarta in Indonesia. We apply Amartya Sen's Capability Approach to define opportunity to mobility as a non-income indicator. Using the extended Moran's I interpretation for spatial equity, we evaluate the distribution output regarding, first, 'the spatial distribution patterns of priority targeting for allocation' (SPT) and, second, 'the effect of new distribution patterns after location-allocation' (ELA). The Moran's I index of the initial map and its comparison with six patterns for SPT as well as ELA consistently indicates that the SPM is more effective for addressing spatial equity. We conclude that the inclusion of spatial neighbourhood comparison factors in Preference Modelling improves the capability of SDSS to address spatial equity. This study thus proposes a new formal method for SDSS with specific attention on resource location-allocation to address spatial equity.
机译:为了确定在偏好建模中包含空间邻域比较因素是否允许空间决策支持系统(SDSS)更好地解决空间公平问题,我们引入了空间偏好建模(SPM)。为了评估该模型在解决公平性方面的有效性,比较了非空间偏好建模和SPM中的各种标准化功能。评估涉及将模型应用于印度尼西亚日惹特别省交通基础设施的资源位置分配问题。我们采用阿玛蒂亚·森(Amartya Sen)的“能力方法”将流动机会定义为非收入指标。使用扩展的Moran's I解释空间公平性,我们首先评估关于``优先分配目标的空间分布模式''(SPT)的分布输出,其次是``位置分配后新分布模式的影响''( ELA)。初始图的Moran I索引及其与SPT和ELA的六种模式的比较始终表明,SPM在解决空间公平方面更为有效。我们得出结论,在偏好建模中包含空间邻域比较因素可以提高SDSS解决空间公平性的能力。因此,本研究提出了一种新的SDSS形式化方法,特别关注资源位置分配以解决空间公平问题。

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