Work

Markovian Models of Movement Within Urban Spatial Structures

Year: 1978

Type: article

Abstract: Much work has assumed that movement within urban spatial structures is an “adaptive” process. Nonetheless, mathematical models have not yet been specified and tested which formulate both how different individuals “adapt” over time in destination or route selection, and how predictions about aggregate movement can be derived from postulates about different persons. Two adaptive first‐order Markov models for heterogeneous individuals are suggested by the literature. When formulated and tested, however, these models are inadequate to describe travel within urban spatial structures. This implies that the use of Markovian processes to model movement may be overrated. More confidence may be placed in other formulations such as linear learning models of route and destination choice.

Source: Geographical Analysis

DOI: 10.1111/j.1538-4632.1978.tb00003.x

Author: Pat Burnett

Institutions: State University of New York, University at Buffalo, State University of New York, University of Oklahoma

Language: English

Topic: Transportation Planning and Optimization

Subfield: Transportation

Field: Social Sciences

Domain: Social Sciences

SDG: Sustainable cities and communities

Open Access status: bronze

Funder: National Science Foundation