Identifying critical links using network capacity-based indicator in multi-modal transportation networks

Abstract

This article aims to develop a new link criticality indictor based on the network capacity concept of a multimodal transportation network. Model formulation and solution algorithm are developed for this multimodal transportation network capacity problem. To improve the efficiency, a sensitivity-based approximation approach is also developed to avoid the need to repeatedly solve the bi-level network capacity problem for each disrupted link as in the typical network scanning approach. Numerical experiments are conducted and compared to the traditional efficiency-based criticality indicator. The findings reveal the proposed network capacity-based indicator indeed is more useful than the efficiency-based indicator when the link capacity limit is violated in the degraded network.

KEYWORDS:

• Multi-modal transportation
• network capacity
• critical links
• sensitivity analysis

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This work was supported by National Natural Science Foundation of China: [grant number 71801079]; Jiangsu University Philosophy and Social Science Research Project: [grant number 2019SJA0471]; Research Institute for Sustainable Urban Development at the Hong Kong Polytechnic University: [grant number 1-BBWF]; Fundamental Research Funds for the Central Universities: [grant number B200202079]; Research Grants Council of the Hong Kong Special Administrative Region: [grant number 15212217 and 15222221].