Algorithm to Compute Urban Road Network Resilience

Dear Colleagues,

Following the immense impact that the COVID-19 pandemic had on economies and societies, many countries are now including renewed infrastructure investment as a stimulus measure. Infrastructure resilience is the ability to reduce the magnitude and/or duration of disruptive events. The effectiveness of a resilient infrastructure or enterprise depends upon its ability to anticipate, absorb, adapt to, and/or rapidly recover from a potentially disruptive event. On the other hand, the development of the urban road network plays an important role in the economic development of a country. The appropriate development of the urban road network not only reduces the cost of transportation, but also aids in the integration of various regions within the country and the better understanding of neighboring countries at the international level. Developing a resilient urban roadway network is important to reduce direct losses and the indirect costs of disruption.

This Special Issue provides a cross-disciplinary forum for researchers to disseminate innovative research and engineering practices in algorithms to compute and quantify urban roadway network resilience, such as artificial intelligence, agent-based modeling, machine learning, etc. Papers may report on original research, discuss methodological aspects, review the current state of the art, or offer perspectives on future prospects.

Dr. Zhe Han
Guest Editor

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