Boekbeoordeelingen

Vogel, K. Sneyders de; G., S.; Weerenbeck, B. H. J.; Praag, J.A. van; Jong, Michiel de; G.,; S., J. H.; Swaen, A. E. H.; Mohrmann, Christine

doi:10.1007/bf01547841

Cited by 1 publication

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“…The degree of adaptation and mitigation efforts to respond to climate change such as pricing of fuel also affects transport demand and eventually CO 2 and NO x emissions. To account for possible technological transitions and advancements, different levels of the future fuel mix (i.e., fossil, electricity, and hydrogen), as well as variations in the load factor are considered under different scenarios ( 24 ). In Table 1, the different aspects of the scenarios are summarized.…”

Section: Model Designmentioning

confidence: 99%

Scenario-Based Strategic Modeling of Road Transport Demand and Performance

Asgarpour

Hartmann

Gkiotsalitis

et al. 2023

Transportation Research Record: Journal of the Transportation R

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Road infrastructure plays an important role in the economic and social development of societies. Thus, it requires effective and timely responses to cope with and embrace uncertain future changes. This study proposes an integrated, scenario-based strategic model which estimates transport demand, network performance, emission, and energy consumption. The model accounts for future economic, behavioral, policy, and technological developments by including four future scenarios and traces the possible changes in transport infrastructure performance. It primarily aims at supporting infrastructure decisions by quantifying a set of network and environmental performance indicators along their spatial–temporal dimension. Moreover, the effects of transport demand and energy transition policies on road performance are considered within each scenario. This model is applied in a case study region covering the main industrial and urban regions of the Netherlands. The discussed results provide insights into the possible infrastructure investments within each scenario and elaborate on the possible effects of policies.

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Section: Model Designmentioning

confidence: 99%