![]() 1) CDPs mainly serve residents in residential and commercial land and that attended CDPs are farther from the urban area than unattended CDPs. Several results were obtained as follows. Through this framework, the overserved and underserved areas in Wuhan City were identified on a community level based on CDP location. ![]() In addition, regression analysis was conducted on the indicators of adjacency and accessibility, combined with policy and socioeconomic factors. ![]() In particular, descriptive statistics and spatial analysis were conducted to analyze patterns of service target, adjacency, accessibility, and agglomeration. Therefore, this study proposes an assessing framework of four CDP features from the perspective of residents' convenience, with a focus on Wuhan City. Thus far, the majority of studies focused on the logistic transportation perspective without considering residents' convenience. In relation to this, collection and delivery points (CDPs) have become important places to facilitate convenience for residents. 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.Īlong with the advancement of information technology, the prevalence of e-commerce has promoted the rapid development of the express delivery industry. 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. 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. 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. ![]()
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