Toward comparative polycentricity scores
Assessing variations in regional delineation and subcenter identification
Bibliographic Data
| ID | 21248043 |
|---|---|
| Authors | Ryan Thomas (0000-0003-2075-7337, Cornell University, corresponding author), Stephan Schmidt (0000-0002-4357-304X, Cornell University), Stefan Siedentop (0000-0002-4904-0105, ILS – Research Institute for Regional and Urban Development) |
| Year | 2022 |
| Volume | 49 |
| Issue | 6 |
| Pages | 1597-1611 |
| Publication date | 2022-07-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Environment and Planning B Urban Analytics and City Science (JOURNAL) |
| Journal identifiers | ISSN: 2399-8083 • E-ISSN: 2399-8091 |
| Publisher | SAGE Publications (PUBLISHER • US) |
| DOI | 10.1177/23998083211065765 |
| OpenAlex | W4200485362 |
| Language | EN |
| Citations received | 8 |
| References cited | 30 |
Urban spatial structure is increasingly characterized by polycentricity, the presence of multiple interconnected centers of similar size. Polycentricity indicators, which influence research and policies related to urban development, rely on three phases of analysis: (a) delineating regions, (b) identifying subcenters within these regions, and (c) operationalizing polycentricity; and each phase contains decision points for analysts. This paper argues that polycentricity methodologies should be thought of in terms of pathways, then systematically applies 15 such pathways to the case of German regional polycentricity and compares the results. Findings suggest that questions of polycentricity are more robustly measured by comparing across multiple regional delineation methods and selection of subcenters, then looking for signs of agreement or disagreement. When possible, constructing regions from larger areas through bottom-up methods tends to avoid the biases of administratively defined regions. When this is not possible, statistical approaches to subcenter identification can serve as a check to avoid forced selection of subcenters in poorly defined regions
Corporate governance · Econometrics · Economics · Geography · Operationalization · Polycentricity · Regional science · Computer Science · Regional Economics and Spatial Analysis · Spatial and Panel Data Analysis · Urban Transport and Accessibility · Artificial Intelligence · Ecology
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Does the monocentric model work in a polycentric urban system? An examination of German metropolitan regions
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Nonparametric Employment Subcenter Identification
Using Quantile Smoothing Splines to Identify Employment Subcenters in a Multicentric Urban Area
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Population Density in Suburban Chicago
Communities, Complexity, and the ‘Conchoration’
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| Unique citing works | 8 |
|---|---|
| Citations per year | 2,67 |
| Citation span | 2023 - 2026 (4) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 7 |