The relationship between the built environment and nonwork travels reveals potential supply-
demand status between urban functional facilities and diverse living travels, which provide …

Understanding population density at a fine spatial scale is beneficial for urban management
and planning. Existing machine learning methods have been widely used to predict the …

Spatial flow data represent meaningful spatial interaction (SI) phenomena between
geographic regions that are often highly dynamic. However, most existing flow analytical …

Quantifying the centrality of places and identifying centers constitute the basis for assessing
the urban spatial structure, which is essential for sustainable spatial planning. Both the …

The neighborhood effect averaging problem (NEAP) is a fundamental statistical
phenomenon in mobility-dependent environmental exposures. It suggests that individual …

Measuring bivariate spatial association plays a key role in understanding the spatial
relationships between two types of geographical flow (hereafter referred to as “flow”) …

Cycling transport systems are an important way to reduce the city's carbon emissions. Street
renovation and renewal policies aim to encourage cycling transport by improving the cycling …

Flows can reflect the spatiotemporal interactions or movements of geographical objects
between different locations. Measuring the spatiotemporal autocorrelation of flows can help …

Access to urban public transportation services is crucial for all city residents. Undoubtedly,
more efficient public transportation services should be provided for the needy ones. The …

The researcher used an eight-firm sample drawn randomly from a population of ten to study
the relationship between capital structure and stock performance of the companies that …