Identifying functional urban regions within traffic flow
Bibliographic Data
| ID | 7366848 |
|---|---|
| Authors | Elizabeth Manley (0000-0002-8904-0513, corresponding author) |
| Year | 2014 |
| Volume | 1 |
| Issue | 1 |
| Pages | 40-42 |
| Publication date | 2014-01-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Regional Studies Regional Science (JOURNAL) |
| Journal identifiers | ISSN: 2168-1376 • E-ISSN: 2168-1376 |
| Publisher | Taylor & Francis (PUBLISHER • GB) |
| DOI | 10.1080/21681376.2014.891649 |
| OpenAlex | W2033436387 |
| Language | EN |
| Citations received | 9 |
| References cited | 3 |
In this work, community detection algorithms are applied to a topological representation of the road network formed through observed routing behaviour. The resulting communities provide an insight into how areas of the city may be grouped as functional regions, shaped purely on their shared usage
Biology · Computer network · Functional connectivity · Geography · Political science · Representation (politics · Routing (electronic design automation · Topology (electrical circuits · Traffic flow (computer networking · Work (physics · Complex Network Analysis Techniques · Computer Science · Data Visualization and Analytics · Engineering · Human Mobility and Location-Based Analysis · Mathematics
Identification of Urban Functional Zones Based on the Spatial Specificity of Online Car-Hailing Traffic Cycle
London taxi drivers exploit neighbourhood boundaries for hierarchical route planning
Re-evaluating polycentric urban structure
Modeling intra-city functional regions through spatial interaction analysis
Combining travel and population data through a bivariate spatial analysis to define Functional Urban Regions
Understanding the roles of rail stations
Discovering the evolution of urban structure using smart card data
A computational approach to ‘The Image of the City’
Mobility patterns in the Gauteng City-Region, South Africa
| Unique citing works | 9 |
|---|---|
| Citations per year | 0,82 |
| Citation span | 2015 - 2025 (11) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 9 |