Mode differentiation in partitioning of mixed bi-modal urban networks
Document Type
Journal Article
Publication Date
2023
Subject Area
place - urban, mode - bus, planning - methods
Keywords
Network partitioning, bi-modal urban networks, mode differentiation, NMFD, MFD, NFD
Abstract
Empirical studies have demonstrated the existence of a well-defined Network Macroscopic Fundamental Diagram (NMFD). Well-shaped NMFD, however, may not be a universal law because urban networks often display heterogeneous congestion distributions. Therefore, different algorithms have been proposed to partition a heterogeneous network into homogeneous sub-networks. These algorithms mainly consider uni-modal networks, despite the multi-modal nature of urban traffic flows. This paper is one of the first studies dedicated to the partitioning problem of bi-modal networks. First, a three-step partitioning algorithm is developed concerning NMFD-based applications. Second, the role played by mode differentiation in bi-modal network partitioning is investigated through the lens of speed-NMFDs. The results demonstrate that the algorithm performs well. Mode differentiation should be considered in the partitioning process while is defined differently in free-flow and saturated conditions. The links' lengths, bus stop distribution, speed limit zone, and the existence of bus terminals might affect speed-NMFD properties.
Rights
Permission to publish the abstract has been given by Taylor&Francis, copyright remains with them.
Recommended Citation
Johari, M., Jiang, S., Keyvan-Ekbatani, M., & Ngoduy, D. (2023). Mode differentiation in partitioning of mixed bi-modal urban networks. Transportmetrica B: Transport Dynamics, 11(1), 463-485.
