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Demand and Congestion in Multiplex Transportation Networks
Philip S Chodrow1, Zeyad Al-Awwad2, Shan Jiang3
1Operations Research Center, Massachussetts Institute of Technology, Cambridge, MA 02139, United States of America.
Plos One
|September 23, 2016
Summary
This study introduces a sociotechnical analysis of urban transit, revealing fundamental limits to metro impact on traffic. Optimized feeder systems can significantly reduce urban congestion.
Area of Science:
- Urban planning and network science
- Sociotechnical systems analysis
- Transportation engineering
Background:
- Urban transportation systems are complex, multimodal, and sociotechnical, yet the sociotechnical aspect is understudied.
- Multiplex network analysis has focused on multimodality, neglecting the social and technical interactions.
- Understanding these interactions is crucial for optimizing urban mobility and reducing congestion.
Purpose of the Study:
- To conduct the first sociotechnical analysis of an urban transportation system using multiplex network analysis.
- To investigate the impact of new transportation layers, specifically a metro system, on existing traffic dynamics.
- To develop methods for analyzing and maximizing the reduction of global congestion through integrated transit planning.
Main Methods:
- Utilized multiplex network analysis to model urban transportation as interconnected layers.
- Incorporated validated Origin-Destination travel demand data for a case study (Riyadh's metro).
- Developed novel methods to assess the quantitative and qualitative roles of demand structure and analyze the impact of additional transit layers.
Main Results:
- Identified fundamental geometrical limits to the metro's potential impact on traffic dynamics.
- Demonstrated that significant environmental benefits are achieved at metro speeds only slightly exceeding planned levels.
- Showed that the structure of travel demand plays a critical role in determining the effectiveness of new transit systems.
Conclusions:
- The sociotechnical aspect of urban transport is critical and requires integrated network analysis.
- Metro implementation has inherent limitations, emphasizing the need for strategic planning and feeder systems.
- Developed computationally practical and extensible methods for optimizing urban transportation networks and reducing congestion.
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