Using weighted multilayer networks to uncover scaling of public transport system
Bibliographic Data
| ID | 21247710 |
|---|---|
| Authors | Yanyan Gu (0000-0001-8765-1639, Shenzhen University), Yandong Wang (0000-0001-9539-8725, Wuhan University) |
| Year | 2022 |
| Volume | 49 |
| Issue | 6 |
| Pages | 1631-1645 |
| 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 | 10.1177/23998083211062905 |
| OpenAlex | W4205375641 |
| Language | EN |
| Citations received | 2 |
| References cited | 37 |
The public transport system is considered as one of the most important subsystems in metropolises for achieving sustainability objectives by mediating resources and travel demand. Representing the various urban transport networks is crucial in understanding travel behavior and the function of the transport system. However, previous studies have ignored the coupling relationships between multi-mode transport networks and travel flows. To address this problem, we constructed a multilayer network to illustrate two modes of transport (bus and metro) by assigning weights of travel flow and efficiency. We explored the scaling of the public transport system to validate the multilayer network and offered new visions for transportation improvements by considering population. The proposed methodology was demonstrated by using public transport datasets of Shanghai, China. For both the bus network and multilayer network, the scaling of node degree versus Population were explored at 1 km * 1 km urban cells. The results suggested that in the multilayer network, the scaling relations between node degree and population can provide valuable insights into quantifying the integration between the public transport system and urban land use, which will benefit sustainable improvements to cities
Complex network · Flow network · Mathematical optimization · Population · Public transport · Scaling · Sustainability · Sustainable transport · Transport engineering · Transport Network · Transport system · Computer Science · Engineering · Human Mobility and Location-Based Analysis · Mathematics · Transportation Planning and Optimization · Urban Transport and Accessibility
Multilayer networks
Spatial networks
The Origins of Scaling in Cities
Catastrophic cascade of failures in interdependent networks
The built environment and travel behavior in urban China
Growth, innovation, scaling, and the pace of life in cities
Evidence for the homothetic scaling of urban forms
Urban scaling laws
Relating SDG11 indicators and urban scaling – An exploratory study
The spatial coupling effect between urban public transport and commercial complexes
Sustainable approach to land development opportunities based on both origin-destination matrix and transportation system constraints, case study
Commuting Mode Choice in a High-Density City
Urban and Transport Scaling
Measuring the vulnerability of public transport networks
Assessing the role of network topology in transportation network resilience
| Unique citing works | 2 |
|---|---|
| Citations per year | 0,67 |
| Citation span | 2023 - 2024 (2) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 2 |