The authors investigate how the intermodal freight-transportation network affects the ability of regions to position themselves more effectively in the national space economy. The case of domestic containerized freight traffic is examined because it is closely associated with contemporary forms...

Demand for parcel delivery services has rapidly increased recently mainly due to the tremendous growth of e-commerce worldwide. Responding to changes in parcel volume with small-sized frequent shipments poses a great challenge to parcel delivery companies, as they need to rationalize the cost of...

This paper proposes a spatial statistical approach to identifying the deprived areas where the access to grocery foods is restricted due to the destitute economic status of the target residents (the poor). For this purpose, the ratio of the expected population demand and observed food supply in...

Recent years have seen considerable changes in the technology of transportation with the development of high-speed rail networks, more fuel-efficient automobiles and aircraft, and the widespread adoption of informatics in disciplines such as traffic management and supply chain logistics. The...

Spatial interaction (SI) is the process whereby entities at different points in physical space make contacts, demand/supply decisions or locational choices. The entities can be individuals or firms and the choices can include housing, jobs, production quantities, exports, imports, face-to-face...

This paper explores the impact of multipurpose and multistop shopping behavior on spatial competition among retail firms. The problem deals with a duopoly situation on a line segment. It is shown analytically that a unique location-price Nash equilibrium exists. In equilibrium, the locational...

The contention of this paper is that many social science research problems are too “wicked” to be suitably studied using conventional statistical and regression-based methods of data analysis. This paper argues that an integrated geospatial approach based on methods of machine learning is...

Urban dynamics including both sprawl and infill poses serious long-term planning challenges for public facilities. In those situations, it is deemed vital to expand (or contract) an existing network of public facilities to meet anticipated changes in the level of demand. We present a dynamic...