New Publication in Transportation Research Interdisciplinary Perspectives

The following paper is now available online!

Varghese, V., Chikaraishi, M., Jana, A. (2021) The architecture of complexity in the relationships between information and communication technologies and travel: A review of empirical studies, Transportation Research Interdisciplinary Perspectives, Vol. 11, 100432.

Abstract: The use of information and communication technologies (ICT) has become an integral part of people’s lives, having complex interactions with different facets of human activity participation and travel behaviour. Studies over decades have tried to understand the relationships between ICT and travel. However, the fast evolution of ICT systems and the complex nature of these relationships have resulted in a limited understanding of the overall architecture, the sub-components, and their interactions. This study aims to achieve two objectives. First, we update the current state of knowledge on ICT-travel relationships by conducting an extensive literature review. Second, based on the findings of the review, we propose a conceptual model that identifies sub-components and their interrelationships that need to be better understood to accurately grasp the impacts of ICT on transportation. We summarized 186 empirical studies from the perspectives of survey methods, ICT devices, services, applications, direct relationships with travel behaviour related variables and higher-order or indirect impacts on other parameters such as emissions and congestion. It was observed that the nature of empirical results would depend on assumptions, objectives and type of data used. The findings of the review were then used to classify architecture in the relationship between ICT and travel into four distinct types. The merits, demerits, and challenges associated with the analysis across types were then illustrated. We then develop a conceptual model that highlighted and discussed the possible interactions between 1) ICT systems, 2) travel-related factors and 3) higher-order variables.

https://www.sciencedirect.com/science/article/pii/S259019822100138X

New Publication in Transportation Research Record

The following paper is now available online!

Santos, J.R., Varghese, V., Chikaraishi, M., Uchida, T. (2021) An Integrated Framework for Risk and Impact Assessment of Sediment Hazard on a Road Network, Transportation Research Record.

Abstract: Road networks are highly vulnerable to risks stemming from both internal factors, such as the topological structure of the network, and external factors, such as natural disasters. The disruptions caused by these potential risk factors could result in severe physical and socio-economic losses. Therefore, understanding the impact and risk associated with road networks will be beneficial in reducing losses and helping to prepare better risk mitigation and management strategies. This study proposes an integrated approach to assess risk of sediment hazard on the road network by borrowing concepts from (a) transport vulnerability studies, (b) disaster risk assessment, and (c) spatial risk analysis and applying it to an identified vulnerable road network in Kure, Japan. The proposed risk framework holistically incorporates the processes of topological network vulnerability analysis, exposure spatial analysis, hazard occurrence probability estimation through binary logit regression, impact calculation using Monte Carlo simulation, and risk estimation. Using the recorded information on the rainfall event and sediment disaster that occurred in Hiroshima prefecture in July 2018, 12,000 possible multi-link disruption scenarios were simulated. Spatial distribution of the risk calculations helped to identify links with high probability of disruption and high impact, that is, high-risk links. The findings of this study may support policy decisions on road risk mitigation and recovery prioritization during disaster and road infrastructure investment through risk-benefit analysis.

https://journals.sagepub.com/doi/abs/10.1177/03611981211016462