Spatial interaction and spatial structure are foundational geographical abstractions, though
there is often variation in how they are conceptualized and deployed in quantitative models …

Geographical flow (hereafter flow) can be modeled as an orderly connected point pair
composed of an origin (O) and a destination (D). Aggregation is the most common form of …

This article introduces measures to quantify spatial autocorrelation for vectors. In contrast to
scalar variables, spatial autocorrelation for vectors involves an assessment of both direction …

While it is well known that ignoring spatial dependence often results in misspecification of
models, travel demand models almost never account for this phenomenon. The aim of this …

This paper analyses whether regions benefit from their neighbours' transport facilities. We
focus on ports and estimate a gravity model of trade that includes port facilities indicators as …

With the advent of Information and Communication technology (ICT) in modern age, the
statement of “death of distance” has received numerous discussions. This article contributes …

Due to the emergence of new big data technology, mobility data such as flows between
origin and destination areas have increasingly become more available, cheaper, and faster …

The lack of subnational trade data has dampened the development of reliable regional and
multiregional models for regional policy development. So, most researchers and vendors of …

Spatial optimization techniques are commonly used for regionalization problems, often
represented as p-regions problems. Although various spatial optimization approaches have …

This paper proposes for the purposes of freight generation a spatial autoregressive model
framework, combined with non-linear semi-parametric techniques. We demonstrate the …