A navigability entropy model for street networks
Bibliographic Data
| ID | 21247997 |
|---|---|
| Authors | Padraig Corcoran (0000-0001-9731-3385, Cardiff University, corresponding author), Rhyd Lewis (0000-0003-1046-811X, Cardiff University) |
| Year | 2023 |
| Volume | 50 |
| Issue | 8 |
| Pages | 2171-2186 |
| Publication date | 2023-10-01 |
| 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 | 10.1177/23998083231170191 |
| OpenAlex | W4366084611 |
| Language | EN |
| Citations received | 1 |
| References cited | 24 |
In this paper, we propose novel local and global models of street network entropy that measure levels of navigability given only limited local directional information. These models are defined for individual locations and entire street networks. Both models are derived using a generalised model of entropy from the field of game theory, which considers a decision-maker attempting to perform a task in the presence of incomplete information. We argue that the proposed models are more interpretable and useful than existing models of street network entropy since they measure the uncertainty of navigation, which is the task street networks are intended to facilitate. We demonstrate this utility by performing an empirical analysis of the entropy properties of UK city street networks
Cartography · Data mining · Geography · Information Theory · Navigability · Principle of maximum entropy · Statistics · Computer Science · Evacuation and Crowd Dynamics · Mathematics · Transportation Planning and Optimization · Urban Design and Spatial Analysis · Artificial Intelligence
| Citations per year | 0.33 |
|---|---|
| Citation span | 2023 - 2023 (1) |
| Highly cited | No |