Multiclass Compactness Index for Urban Areas

Often urban compactness indexes ignore the variegated intensity of urban development in their focus on the configuration. In this article, I propose an extension to the index of moment of inertia (IMI) as a compactness measure that can account for multiple ordinal classes representing development intensity. I demonstrate this index for developed areas for each county in the contiguous United States. These counties have a range of development configurations and intensity compositions. I show that for this data set, ignoring the multiple class composition and only focusing on the configuration overestimates the urban compactness in almost all instances. I demonstrate the impact of different analytical choices on the index for this data set.

Authors

Institutions

Publication Details

Journal
UNC Libraries
Published
2025-05-01
DOI
https://doi.org/10.17615/389g-3p34
Primary Topic
Urban Design and Spatial Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Multiclass Compactness Index for Urban Areas

Nikhil Kaza
UNC Libraries
Urban Design and Spatial Analysis
article

Multiclass Compactness Index for Urban Areas

Nikhil Kaza
article en

Abstract

Often urban compactness indexes ignore the variegated intensity of urban development in their focus on the configuration. In this article, I propose an extension to the index of moment of inertia (IMI) as a compactness measure that can account for multiple ordinal classes representing development intensity. I demonstrate this index for developed areas for each county in the contiguous United States. These counties have a range of development configurations and intensity compositions. I show that for this data set, ignoring the multiple class composition and only focusing on the configuration overestimates the urban compactness in almost all instances. I demonstrate the impact of different analytical choices on the index for this data set.

UNC Libraries
University of North Carolina at Chapel Hill (US)
Openalex Percentile: Top 64%
Urban Design and Spatial Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.