Work

Interaction between Development Intensity: An Evaluation of Alternative Spatial Weight Matrices

Year: 2023

Type: article

Abstract: This paper investigates the spatial dependency of job and worker densities for the Minneapolis–St. Paul (Twin Cities) metropolitan area using census block level data from 2002 to 2017. A spatial weight matrix is proposed, considering the statistical expression of data, referred to as the correlation matrix, which detects the variations of dependencies among spatial units in both direction and level. The superior performance of the correlation matrix is demonstrated through a series of spatial regression models to predict land use patterns, in comparison with the conventionally used adjacency matrix as well as the accessibility matrix.

Source: Urban Science

DOI: 10.3390/urbansci7010022

Authors: Manman Li, Mengying Cui, David Levinson

Institutions: Chang'an University, The University of Sydney

Language: English

Topic: Spatial and Panel Data Analysis

Subfield: Economics and Econometrics

Field: Economics, Econometrics and Finance

Domain: Social Sciences

SDG: Sustainable cities and communities

Open Access status: gold

Estimated APC paid: $1,335