Using publicly available microdata sets, we show how estimates for online delivery purchases can be generated for small geographic areas defined in our study as micro analysis zones (MAZ) and how these estimates vary across the MAZs that featured in our study. With a focus on Miami-Dade County, we use both the national household travel survey (NHTS) data and synthetic data obtained from Southeast Florida Regional Planning Model (SERPM) to generate demand estimates of online delivery purchases for more than 5300 distinct geographic units in Miami-Dade County. We assess the quality of the estimates using measures of predictive accuracy and by comparing the cumulative values obtained with the population estimates generated from the NHTS survey data for Miami-Dade County. Our approach fills a void in the area of purchases of online delivery items where rich observable data are typically unavailable and it also provides the added potential benefit of being easily replicated nationwide given the emphasis on the use of publicly available data.

中文翻译：

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估算在线包裹递送的小区域需求

使用公开可用的微数据集，我们展示了如何为我们研究中定义为微观分析区 (MAZ) 的小地理区域生成在线交付购买的估计，以及这些估计如何在我们研究中的特色 MAZ 之间变化。以迈阿密-戴德县为重点，我们使用全国家庭旅行调查 (NHTS) 数据和从佛罗里达州东南部区域规划模型 (SERPM) 获得的综合数据来生成对 5300 多个不同地理单位的在线交付购买的需求估计。迈阿密-戴德县。我们使用预测准确度的衡量标准以及通过将获得的累积值与从迈阿密戴德县 NHTS 调查数据生成的人口估计值进行比较来评估估计值的质量。