Policies to deal with multimodal transport emissions: a system-of-systems approach

Agusdinata, Datu Buyung; Fry, Donald N.; DeLaurentis, Daniel A.

doi:10.1080/03081060.2011.554702

Cited by 7 publications

(7 citation statements)

References 15 publications

(13 reference statements)

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“…LHS is more bene cial than other sample techniques (e.g. Monte Carlo, full factorial design) for long running models when computational resources are limited [12]. LHS forces the speci ed sample size to cover the whole experimental space (i.e.…”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

An exploratory modelling and analysis protocol for identifying robust policy mixes for clean energy transitions: An exploratory analysis for Mexico

Castrejon-Campos,

Aye,

Hui

et al. 2023

Preprint

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This protocol presents a systematic approach for conducting exploratory modelling and analysis (EMA) to identify robust policy mixes for clean energy transitions. It explores the effects of diverse policy alternatives and multiple uncertainties within energy transitions through computational experiments. The protocol comprises diverse steps, including Decision Framing, Policy Alternatives Generation, Experiment Setting, Performing Experiments, Policy Alternatives Analysis, Performance Metrics Analysis, and Medium and Long-term Policy Analysis. It also integrates analytical sub-processes such as Policy Objectives Analysis, Feature Scoring, Robustness Analysis, Vulnerability Analysis, and Trade-off Analysis. The effectiveness of this protocol is demonstrated through its successful implementation in Mexico. Targeted at researchers, policymakers, and energy analysts, it offers a comprehensive method for in-depth exploration of the potential effects of diverse policy alternatives and multiple uncertainties within energy systems. While acknowledging that the duration of completion depends on available computational resources, it provides a detailed approach to conducting EMA for energy transitions.

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Section: Methodsmentioning

confidence: 99%

“…LHS forces the speci ed sample size to cover the whole experimental space (i.e. uncertainty space and decision space) by producing a sample that is random but relatively uniformly distributed over each dimension [12].…”

Section: Methodsmentioning

confidence: 99%

An exploratory modelling and analysis protocol for identifying robust policy mixes for clean energy transitions: An exploratory analysis for Mexico

Castrejon-Campos,

Aye,

Hui

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…EMA is a research paradigm first developed by the RAND Corporation, and uses computational experiments to analyze complex, inherently uncertain systems in order to provide decision support. 12–14 The TIF methodology could further be classified as a ‘technology assessment’ technique, as defined by Porter et al in their agenda-setting paper on Technology Futures Analysis (TFA). 15 The particular strength of this paper and its application is in its presentation and discussion of technology scenarios, which allow simultaneous consideration of both existing and undefined technologies.…”

Section: Introductionmentioning

confidence: 99%

Technology assessment for a complex aircraft system using technology scenarios

Soban

Zeune

2014

Journal of Defense Modeling & Simulation

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Military decision makers need to understand and assess the benefits and consequences of their decisions in order to make cost efficient, timely, and successful choices. Technology selection is one such critical decision, especially when considering the design or retrofit of a complex system, such as an aircraft. An integrated and systematic methodology that will support decision making between technology alternatives and options while assessing the consequences of such decisions is a key enabler. This paper demonstrates, through application to a notional medium-range short takeoff and landing aircraft, one such enabler: the Technology Impact Forecasting (TIF) method. The goal of the TIF process is to explore both generic, undefined areas of technology, as well as specific technologies, and assess their potential impacts. This is actualized through the development and use of technology scenarios, and allows the designer to determine where to allocate resources for further technology definition and refinement, as well as provide useful design information. The paper particularly discusses the use of technology scenarios and demonstrates their use in the exploration of seven technologies of varying Technology Readiness Levels.

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“…This problem is confounded by the fact that, when an aspect of transportation, say environmental policy, is analyzed from a singlemode perspective, it often results in a myopic understanding of the overall system behavior. Some integrated frameworks are emerging, for example the multimodal approach in [6] that takes into account the interdependencies among key transportation emission drivers, which has been developed to inform transportation policies.…”

Section: Introductionmentioning

confidence: 99%

Integrated Framework and Assessment of On-Demand Air Service in Multimodal Context

Joshi

DeLaurentis

Peeta

et al. 2014

Journal of Aircraft

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On-demand air service presents a potentially viable alternative to road transport and commercial air transport in a regional transportation system. The objective of this research is a framework to better understand the performance and economic requirements for this mode. An integrated modeling framework is presented in this paper that models in composite fashion a regional transportation system including three principal modes of transport: road transport, commercial air transport, and a hypothetical on-demand air service mode, which can be configured differently for each simulation. Demand forecast modeling is based on the traditional four-step process, including a multinomial logit model for traveler mode choice and the network assignment carried out on a "composite network" consisting of all the modal networks. Scenarios with varying on-demand air service network sizes and price structures are presented as case studies to illuminate the most appropriate service networks for on-demand air service. Assuming typical very light jet aircraft parameters, the studies show that most of the demand for on-demand air service lies in medium-range trips (∼200 miles). On-demand air service comparative competitiveness is limited by its high cost for longer-range trips in spite of having superior capability. Finally, the framework also demonstrates a viable analytical tool for studying transportation systems with multimodal interactions.

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Policies to deal with multimodal transport emissions: a system-of-systems approach

Cited by 7 publications

References 15 publications

An exploratory modelling and analysis protocol for identifying robust policy mixes for clean energy transitions: An exploratory analysis for Mexico

An exploratory modelling and analysis protocol for identifying robust policy mixes for clean energy transitions: An exploratory analysis for Mexico

Technology assessment for a complex aircraft system using technology scenarios

Integrated Framework and Assessment of On-Demand Air Service in Multimodal Context

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