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

Joshi, Aditya; DeLaurentis, Daniel A.; Peeta, Srinivas; Agusdinata, Datu Buyung

doi:10.2514/1.c031976

Cited by 8 publications

(3 citation statements)

References 9 publications

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“…For example, DeLaurentis et al 92 composited complex network with multi-agent model to solve air network connectivity problem. Borshchev and Filippov 93 compared three major paradigms in simulation modeling: system dynamics, discrete event and agent-based modeling with respect to how they approach such systems that contain large numbers of active objects and studied composition of the three modeling methods.…”

Section: Sosed Effectiveness Evaluationmentioning

confidence: 99%

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System of systems oriented flight vehicle conceptual design: Perspectives and progresses

Liu

Tian

Gao

et al. 2015

Chinese Journal of Aeronautics

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In order to obtain optimized flight vehicle concepts which meet system of systems (SoS) operation requirements, designers have to pay high attention to the impact of SoS at conceptual design stage since operation environment goes increasingly complex. Based on this tendency, perspectives and progresses of SoS oriented flight vehicle conceptual design, which is abbreviate as SoSed design, are reviewed in this paper. Such basic concepts of SoS as definition, characteristics, differences between systems engineering and SoS engineering, as well as SoSed design process are introduced, then SoS engineering process model for research and development of flight vehicles and SoSed design wheel model for conceptual design are proposed. Related literature is classified and analyzed in accordance with four major elements including requirements, design concept, design analysis, and trade studies and optimization: typical SoS architectures, description and quantization of indexes are introduced; Application of inverse design in designing concept is analyzed; Modeling and simulation (M&S)-based methods and their applications in SoSed effectiveness evaluation are highlighted; According to SoSed trade studies and optimization related research, the importance of such points as decision-making and using multidisciplinary design optimization for reference are emphasized. Finally, the value of SoSed design is concluded, and five directions which are worthy of attention in this field are presented.

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Section: Sosed Effectiveness Evaluationmentioning

confidence: 99%

“…However, it is actually not impossible. Purdue University's work 3,17,79,91,92,112,113 on civil aircraft and air transport network is a typical attempt. Researchers as (2) Challenges brought by the uncertainties and application of seriation design/fleet.…”

Section: Optimizationmentioning

confidence: 99%

System of systems oriented flight vehicle conceptual design: Perspectives and progresses

Liu

Tian

Gao

et al. 2015

Chinese Journal of Aeronautics

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“…Some studies calibrated (rather than estimated) a multinomial logit model based on existing travel surveys excluding the new on-demand air service and then applied the obtained coefficients to compute aggregate mode shares for the new market with the hypothetical on-demand air service (e.g. Pu et al 2014;Joshi et al 2014;Baik et al 2008). Thus, empirical analysis is needed to verify the assumptions about sensitivities towards various level-of-service attributes and explain the behavioural mechanisms behind individual choices.…”

Section: Urban Air Mobilitymentioning

confidence: 99%

Uncovering the link between intra-individual heterogeneity and variety seeking: the case of new shared mobility

2022

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Preferences can vary both across respondents (i.e. inter-respondent preference heterogeneity) and across choice tasks within respondents (i.e. intra-respondent preference heterogeneity). Ignoring the existence of intra-respondent preference heterogeneity could bias preference elicitation and demand forecast. Thus far, most studies covering inter- and intra-respondent preference heterogeneity have applied the mixed multinomial logit model. Meanwhile, the behavioural explanations for such preference variations remain under-explored. This paper accommodates inter- and intra-respondent preference heterogeneity through a two-layer latent class modelling structure, where the continuous random distributions are replaced with discrete mixtures in both layers. A latent variable representing variety-seeking is included to explain class membership probabilities, offering additional behavioural insights concerning the source of preference heterogeneity both across and within respondents. Two aspects associated with variety-seeking are examined: novelty-seeking (i.e. the inclination to adopt new modes) and alternation (i.e. the tendency to vary one’s behaviour regularly by selecting different modes continuously). In the context of new shared mobility, this paper finds the role of both aspects in preference heterogeneity. Specifically, novelty seekers are found to be more likely to fall into the class with higher probabilities of switching from existing modes to the new air taxi service than novelty avoiders, and alternation seekers are more likely to belong to the class with higher probabilities to exhibit intra-respondent preference heterogeneity than alternation avoiders. This paper, therefore, provides empirical evidence to identify the target customers of the new air taxi service.

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Overview of recent endeavors on personal aerial vehicles: A focus on the US and Europe led research activities

Liu

Kreimeier

Stumpf

et al. 2017

Progress in Aerospace Sciences

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

Cited by 8 publications

References 9 publications

System of systems oriented flight vehicle conceptual design: Perspectives and progresses

System of systems oriented flight vehicle conceptual design: Perspectives and progresses

Uncovering the link between intra-individual heterogeneity and variety seeking: the case of new shared mobility

Overview of recent endeavors on personal aerial vehicles: A focus on the US and Europe led research activities

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