The Experts below are selected from a list of 121071 Experts worldwide ranked by ideXlab platform
David A Hensher - One of the best experts on this subject based on the ideXlab platform.
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a latent class model for discrete choice analysis contrasts with mixed logit
Transportation Research Part A-policy and Practice, 2003Co-Authors: William H Greene, David A HensherAbstract:Although the multinomial logit model (MNL) traditionally has been used as the basis for discrete choice modeling, the model has several shortcomings, including its inherent assumption of independence from irrelevant alternatives. This paper proposes a semi-parametric extension of the MNL, based on the latent class formulation, which resembles the mixed logit model but which relaxes its requirement that the analyst make specific assumptions about the distributions of parameters across individuals. The model is applied to the choice of long distance Travel by three road types (2-lane, 4-lane without a median and 4-lane with a median) by car in New Zealand in order to compare the MNL latent class model with the mixed logit model. Although no conclusive evidence is found that either model is superior on all behavioral measures of performance, both the latent class model and the mixed logic model are found to be a significant statistical improvement over the traditional MNL.
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a latent class model for discrete choice analysis contrasts with mixed logit
Transportation Research Part B-methodological, 2003Co-Authors: William H Greene, David A HensherAbstract:The multinomial logit model (MNL) has for many years provided the fundamental platform for the analysis of discrete choice. The basic model's several shortcomings, most notably its inherent assumption of independence from irrelevant alternatives have motivated researchers to develop a variety of alternative formulations. The mixed logit model stands as one of the most significant of these extensions. This paper proposes a semi-parametric extension of the MNL, based on the latent class formulation, which resembles the mixed logit model but which relaxes its requirement that the analyst makes specific assumptions about the distributions of parameters across individuals. An application of the model to the choice of long distance Travel by three road types (2-lane, 4-lane without a median and 4-lane with a median) by car in New Zealand is used to compare the MNL latent class model with mixed logit.
Sten Karlsson - One of the best experts on this subject based on the ideXlab platform.
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Are multi-car households better suited for battery electric vehicles? - Driving patterns and economics in Sweden and Germany
Transportation Research Part C: Emerging Technologies, 2016Co-Authors: Niklas Jakobsson, Till Gnann, Patrick Plötz, Frances Sprei, Sten KarlssonAbstract:Battery electric vehicles (BEVs) could reduce CO2 emissions from the transport sector but their limited electric driving range diminishes their utility to users. The effect of the limited driving range can be reduced in multi-car households where users could choose between a BEV and a conventional car for Long-Distance Travel. However, to what extent the driving patterns of different cars in a multi-car household's suit the characteristics of a BEV needs further analysis. In this paper we analyse the probability of daily driving above a fixed threshold for conventional cars in current Swedish and German car driving data. We find second cars in multi-car households to require less adaptation and to be better suited for BEV adoption compared to first cars in multi-car households as well as to cars in single-car households. Specifically, the share of second cars that could fulfil all their driving is 20 percentage points higher compared to first cars and cars from single-car households. This result is stable against variation of driving range and of the tolerated number of days requiring adaptation. Furthermore, the range needed to cover all driving needs for about 70% of the vehicles is only 220 km for second cars compared to 390 km for the average car. We can further confirm that second cars have higher market viability from a total cost of ownership perspective. Here, the second cars achieve a 10 percentage points higher market share compared to first cars, and to cars in single-car households for Swedish economic conditions, while for Germany the corresponding figure is 2 percentage points. Our results are important for understanding the market viability of current and near-future BEVs.
William H Greene - One of the best experts on this subject based on the ideXlab platform.
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a latent class model for discrete choice analysis contrasts with mixed logit
Transportation Research Part A-policy and Practice, 2003Co-Authors: William H Greene, David A HensherAbstract:Although the multinomial logit model (MNL) traditionally has been used as the basis for discrete choice modeling, the model has several shortcomings, including its inherent assumption of independence from irrelevant alternatives. This paper proposes a semi-parametric extension of the MNL, based on the latent class formulation, which resembles the mixed logit model but which relaxes its requirement that the analyst make specific assumptions about the distributions of parameters across individuals. The model is applied to the choice of long distance Travel by three road types (2-lane, 4-lane without a median and 4-lane with a median) by car in New Zealand in order to compare the MNL latent class model with the mixed logit model. Although no conclusive evidence is found that either model is superior on all behavioral measures of performance, both the latent class model and the mixed logic model are found to be a significant statistical improvement over the traditional MNL.
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a latent class model for discrete choice analysis contrasts with mixed logit
Transportation Research Part B-methodological, 2003Co-Authors: William H Greene, David A HensherAbstract:The multinomial logit model (MNL) has for many years provided the fundamental platform for the analysis of discrete choice. The basic model's several shortcomings, most notably its inherent assumption of independence from irrelevant alternatives have motivated researchers to develop a variety of alternative formulations. The mixed logit model stands as one of the most significant of these extensions. This paper proposes a semi-parametric extension of the MNL, based on the latent class formulation, which resembles the mixed logit model but which relaxes its requirement that the analyst makes specific assumptions about the distributions of parameters across individuals. An application of the model to the choice of long distance Travel by three road types (2-lane, 4-lane without a median and 4-lane with a median) by car in New Zealand is used to compare the MNL latent class model with mixed logit.
Niklas Jakobsson - One of the best experts on this subject based on the ideXlab platform.
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Are multi-car households better suited for battery electric vehicles? - Driving patterns and economics in Sweden and Germany
Transportation Research Part C: Emerging Technologies, 2016Co-Authors: Niklas Jakobsson, Till Gnann, Patrick Plötz, Frances Sprei, Sten KarlssonAbstract:Battery electric vehicles (BEVs) could reduce CO2 emissions from the transport sector but their limited electric driving range diminishes their utility to users. The effect of the limited driving range can be reduced in multi-car households where users could choose between a BEV and a conventional car for Long-Distance Travel. However, to what extent the driving patterns of different cars in a multi-car household's suit the characteristics of a BEV needs further analysis. In this paper we analyse the probability of daily driving above a fixed threshold for conventional cars in current Swedish and German car driving data. We find second cars in multi-car households to require less adaptation and to be better suited for BEV adoption compared to first cars in multi-car households as well as to cars in single-car households. Specifically, the share of second cars that could fulfil all their driving is 20 percentage points higher compared to first cars and cars from single-car households. This result is stable against variation of driving range and of the tolerated number of days requiring adaptation. Furthermore, the range needed to cover all driving needs for about 70% of the vehicles is only 220 km for second cars compared to 390 km for the average car. We can further confirm that second cars have higher market viability from a total cost of ownership perspective. Here, the second cars achieve a 10 percentage points higher market share compared to first cars, and to cars in single-car households for Swedish economic conditions, while for Germany the corresponding figure is 2 percentage points. Our results are important for understanding the market viability of current and near-future BEVs.
Jeffrey J. Lamondia - One of the best experts on this subject based on the ideXlab platform.
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shifts in long distance Travel mode due to automated vehicles statewide mode shift simulation experiment and Travel survey analysis
Transportation Research Record, 2016Co-Authors: Jeffrey J. Lamondia, Daniel J Fagnant, Jackson Barrett, Kara M KockelmanAbstract:Although vehicle automation technology has experienced rapid gains in recent years, little research has been conducted on the potential impacts of self-driving vehicles on Long-Distance personal Travel, a major area of Travel growth in the United States. Automated vehicles (AVs) offer flexible trip time and origin–destination pairings at Travel time costs perceived to be lower; thus, AVs have the potential to dramatically change how Travelers pursue Long-Distance tours. This study analyzed Travel surveys and then developed a statewide simulation experiment of Long-Distance Travel to anticipate the impact of AVs on Long-Distance Travel choices. The research explored the Michigan State 2009 Long-Distance Travel Survey and estimated a Long-Distance trip generation model and a modal-agnostic Long-Distance mode-choice model. These models were applied in a statewide simulation experiment in which AVs were introduced as a new mode with lower perceived Travel time costs (via lowered values of Travel time en route...
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long distance work and leisure Travel frequencies ordered probit analysis across non distance based definitions
Transportation Research Record, 2014Co-Authors: Jeffrey J. Lamondia, Lisa Aultmanhall, Elizabeth GreeneAbstract:The objective of this research was to isolate the factors influencing non-distance-based definitions of Long-Distance Travel to help Long-Distance survey makers know which demographic factors they should query about in their surveys. Instead of the use of a distance-based threshold to define Long-Distance Travel, this study included variations in purpose (e.g., work Travel or leisure or personal Travel), durations (e.g., overnight trips), modes (e.g., intercity rail or bus), and destinations (e.g., international Travel) to consider which demographic, employment, commute, household, and geographic factors affected the frequency of Long-Distance Travel. The data were from self-reported retrospective surveys collected from approximately 1,200 participants. Results from ordered probit analysis revealed that education and income generally increased most types of Long-Distance Travel, whereas having a spouse or children decreased some types of Long-Distance Travel. In general, limited factors had the same impac...
