Transport emission models: A bibliometric and content analysis

Abstract

Environment deterioration and subsequent climate change require the accountability of each contributor. Pollutants produced from fossil fuel in the transport sector is measured using emission models and this paper offers a Bibliometric analysis of these models from 1990-2020 of previous literature supported with the content analysis done in two tiers; review of the most cited research work of last ten years and the evolving research themes from recently published articles of last five years. From Bibliometric analysis, we identified top authors, institutions and journals, co-occurrence analysis of keywords, and co-authorship countries. Content analysis revealed that emission models have evolved globally with modifications and integrations of new techniques, multi disciplinary variables combining emission, transport, air quality, dispersion, and environment models. The technological adaptations in models have also been carried out locally by some countries bringing transport emissions to inventory counting for global warming potential. Research trends for future emission reduction suggest that besides the warming potential of fossil fuel from the transport sector, parallel reductions can be achieved through efficient traffic planning, road designs, driving patterns, stop and go cycles, traffic calming techniques impacting spatial and temporal goals through reduced clustering and hot spots.

Development of AI-Augmented optimization technique for analysis & prediction of modal mix in road transportation

“…Besides the fuel, the reduction targets can be achieved through the efficient road network, traffic management, driving pattern modification, monitoring hot spot formations and relevant policy formulations, etc. [ 17 , 18 ]. Another mechanism that can be adopted for reduced emissions is the choice of mode, modal mix, and intermodal combination between land, sea, and air modes, and is an applicable practice by different countries [ 19 ].…”