A Circuity Temporal Analysis of Urban Street Networks Using Open Data
A Lisbon Case Study
Bibliographic Data
| ID | 22032018 |
|---|---|
| Authors | Miguel Costa (0000-0003-0860-7002, University of Lisbon), Manuel Marques (0000-0003-0532-1869, University of Lisbon), Filipe Moura (0000-0001-5167-8434, University of Lisbon, corresponding author) |
| Year | 2021 |
| Volume | 10 |
| Issue | 7 |
| Pages | 453 |
| Publication date | 2021-07-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | ISPRS International Journal of Geo-Information (JOURNAL) |
| Journal identifiers | ISSN: 2220-9964 • E-ISSN: 2220-9964 |
| Publisher | MDPI AG (PUBLISHER • IT) |
| DOI | 10.3390/ijgi10070453 |
| OpenAlex | W3182190351 |
| Language | EN |
| Citations received | 6 |
| References cited | 26 |
Urban street networks impact urban space usage and movement across a city. Circuity, the ratio of network distances to straight-line distances, is considered a critical measurement in urban network morphology and transportation efficiency as it can measure the attractiveness of routes in terms of distance traveled. Here, we compare circuity measures for drivable, cyclable, and walkable networks to analyze how they evolved and understand whether urban changes have produced meaningful circuity changes. Our analyses rely on Lisbon data from OpenStreetMaps to explore circuity for the period 2013–2020, which we used to simulate 4.8 million routes using OpenRouteService to compute the different modes’ circuity measures. Our findings suggest that it is crucial to analyze each transport network type separately when planning or modeling urban street networks. Their composition and design differ significantly from mode to mode, such as their attractiveness to users. We identify significant changes in modes’ circuity over time, especially in cycling, following Lisbon’s cycling infrastructure expansion. Our paper demonstrates that the circuity indicator is useful when planning and modeling street networks, in particular, to optimize the location choice for interventions required to increase the attractiveness of active modes and promote sustainable mobility. At the same time, we emphasize the lack of information on walking infrastructures required for more detailed analyses
Attractiveness · Civil engineering · Geography · Human–computer interaction · Public transport · Street network · Transport engineering · Transport Network · Urban planning · Computer Science · Engineering · Land Use and Ecosystem Services · Urban Design and Spatial Analysis · Urban Transport and Accessibility
The Potential Impact of Cycling on Urban Transport Energy and Modal Share
Analysis of cycling accessibility using detour ratios – A large-scale study based on crowdsourced GPS data
Route-based network analysis
The relation between circuity and mobility cultures
Benchmarking real and ideal cities - a multicriteria analysis of city performance based on urban form
Cycling distance and detour extent
Where do cyclists ride? A route choice model developed with revealed preference GPS data
The world’s user-generated road map is more than 80% complete
A GPS-based bicycle route choice model for San Francisco, California
The morphology and circuity of walkable, bikeable, and drivable street networks in Phnom Penh, Cambodia
Characterizing metro networks
Built Environment Influences on Healthy Transportation Choices
Circuity in urban transit networks
Touristification, transnational gentrification and urban change in Lisbon
Urban spatial order
| Unique citing works | 6 |
|---|---|
| Citations per year | 2 |
| Citation span | 2023 - 2025 (3) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 6 |