This research deals with demand for automobiles and light-duty and medium-duty trucks. Planners c... more This research deals with demand for automobiles and light-duty and medium-duty trucks. Planners concerned with energy consumption, air quality and the provision of transportation facilities must have dependable forecasts of vehicle ownership and use from both the residential (personal-use vehicle) sectors and the fleet (commercial and governmental sectors). As long as vehicles evolved slowly, it was possible to base such
Transportation Research Part A: Policy and Practice, 1993
A study was conducted to determine how demand for clean-fuel vehicles and their fuel is likely to... more A study was conducted to determine how demand for clean-fuel vehicles and their fuel is likely to vary as a function of attributes that distinguish these vehicles from conventional gasoline vehicles. For the purposes of the study, clean-fuel vehicles are defined to encompass ...
The vehicle choice model developed here is one component in a micro-simulation demand forecasting... more The vehicle choice model developed here is one component in a micro-simulation demand forecasting system being designed to produce annual forecasts of new and used vehicle demand by vehicle type and geographic area in California. The system will also forecast annual vehicle miles traveled for all vehicles and recharging demand by time of day for electric vehicles. The choice model
Abstract: On July 22, 2002, Governor Gray Davis signed AB 1493 into law. This law requires that t... more Abstract: On July 22, 2002, Governor Gray Davis signed AB 1493 into law. This law requires that the California Air Resources Board (CARB) propose rules that would reduce greenhouse gas emissions of light duty vehicles in California. The goal of this study was to ...
Research Context Background Manufacturers and government agencies interested in promoting alterna... more Research Context Background Manufacturers and government agencies interested in promoting alternative-fuel vehicles, and public utilities who must provide adequate refueling infrastructure, need to know how demand is affected by attributes that distinguish these ...
Behavioral laterality, a common measure of hemispheric specialization of the brain, has been exam... more Behavioral laterality, a common measure of hemispheric specialization of the brain, has been examined in multiple tasks across several species of prosimian primates; however, there is inconsistency among findings between and within species that leaves many questions about laterality unanswered. Most studies have employed few measures of laterality, most commonly handedness. This study examined multiple measures of laterality within subjects in 17 captive-born Garnett's bushbabies (Otolemur garnettii) to assess the consistency of lateralized behaviors and to examine possible influences such as age, posture, novelty, and arousal to elucidate the relations between direction and strength of laterality. We measured reaching, turning bias, scent marking, tail wrapping, leading foot, side-of-mouth preference, and hand use in prey capture. Because autonomic arousal has been invoked as a determinant of strength of lateralization, we included multiple tasks that would allow us to test this hypothesis. All subjects were significantly lateralized on simple reaching tasks (P<0.01) and tail wrapping (P<0.01). Moreover, the number of animals lateralized on turning (P<0.01), leading limb (P<0.05), mouth use (P<0.01), and prey capture (P<0.01) was greater than would be expected by chance alone. There was consistency in the strength and direction of hand biases across different postures. Tasks requiring hand use were more strongly lateralized than tasks not involving hand use (P<0.001). The data do not support the assumption that arousal (as subjectively categorized) or novelty strengthens lateralized responding. The results of this study are discussed in terms of the effects of arousal, posture, and age on lateralized behavior.
MOSHE BEN-AKIVA* Massachusetts Institute of Technology *Corresponding author: MIT Room 1-181, 77 ... more MOSHE BEN-AKIVA* Massachusetts Institute of Technology *Corresponding author: MIT Room 1-181, 77 Massachusetts Avenue, Cambridge, MA 02139, Tel.: (617) 253-5324; Fax: (617) 253-0082; e-mail: mba@mit.edu ... DANIEL MCFADDEN AND ...
Page 1. Algorithm 717 Subroutines for Maximum Likelihood and Quasi-Likelihood Estimation of Param... more Page 1. Algorithm 717 Subroutines for Maximum Likelihood and Quasi-Likelihood Estimation of Parameters in Nonlinear Regression Models ... Vol. 19, No 1, March 1993 Page 3. Subroutines for Maximum Likelihood and Quasi-Likelihood Estimation . 111 ...
We review current state-of-the-art practices for combining preference data from multiple sources ... more We review current state-of-the-art practices for combining preference data from multiple sources and discuss future research possibilities. A central theme is that any one data source (eg, a scanner panel source) is often insufficient to support tests of complex theories of choice and decision making. Hence, analysts may need to embrace a wider variety of data types and measurement tools than traditionally have been considered in applied decision making and choice research. We discuss the viability of preference-stationarity ...
This research deals with demand for automobiles and light-duty and medium-duty trucks. Planners c... more This research deals with demand for automobiles and light-duty and medium-duty trucks. Planners concerned with energy consumption, air quality and the provision of transportation facilities must have dependable forecasts of vehicle ownership and use from both the residential (personal-use vehicle) sectors and the fleet (commercial and governmental sectors). As long as vehicles evolved slowly, it was possible to base such
Transportation Research Part A: Policy and Practice, 1993
A study was conducted to determine how demand for clean-fuel vehicles and their fuel is likely to... more A study was conducted to determine how demand for clean-fuel vehicles and their fuel is likely to vary as a function of attributes that distinguish these vehicles from conventional gasoline vehicles. For the purposes of the study, clean-fuel vehicles are defined to encompass ...
The vehicle choice model developed here is one component in a micro-simulation demand forecasting... more The vehicle choice model developed here is one component in a micro-simulation demand forecasting system being designed to produce annual forecasts of new and used vehicle demand by vehicle type and geographic area in California. The system will also forecast annual vehicle miles traveled for all vehicles and recharging demand by time of day for electric vehicles. The choice model
Abstract: On July 22, 2002, Governor Gray Davis signed AB 1493 into law. This law requires that t... more Abstract: On July 22, 2002, Governor Gray Davis signed AB 1493 into law. This law requires that the California Air Resources Board (CARB) propose rules that would reduce greenhouse gas emissions of light duty vehicles in California. The goal of this study was to ...
Research Context Background Manufacturers and government agencies interested in promoting alterna... more Research Context Background Manufacturers and government agencies interested in promoting alternative-fuel vehicles, and public utilities who must provide adequate refueling infrastructure, need to know how demand is affected by attributes that distinguish these ...
Behavioral laterality, a common measure of hemispheric specialization of the brain, has been exam... more Behavioral laterality, a common measure of hemispheric specialization of the brain, has been examined in multiple tasks across several species of prosimian primates; however, there is inconsistency among findings between and within species that leaves many questions about laterality unanswered. Most studies have employed few measures of laterality, most commonly handedness. This study examined multiple measures of laterality within subjects in 17 captive-born Garnett's bushbabies (Otolemur garnettii) to assess the consistency of lateralized behaviors and to examine possible influences such as age, posture, novelty, and arousal to elucidate the relations between direction and strength of laterality. We measured reaching, turning bias, scent marking, tail wrapping, leading foot, side-of-mouth preference, and hand use in prey capture. Because autonomic arousal has been invoked as a determinant of strength of lateralization, we included multiple tasks that would allow us to test this hypothesis. All subjects were significantly lateralized on simple reaching tasks (P<0.01) and tail wrapping (P<0.01). Moreover, the number of animals lateralized on turning (P<0.01), leading limb (P<0.05), mouth use (P<0.01), and prey capture (P<0.01) was greater than would be expected by chance alone. There was consistency in the strength and direction of hand biases across different postures. Tasks requiring hand use were more strongly lateralized than tasks not involving hand use (P<0.001). The data do not support the assumption that arousal (as subjectively categorized) or novelty strengthens lateralized responding. The results of this study are discussed in terms of the effects of arousal, posture, and age on lateralized behavior.
MOSHE BEN-AKIVA* Massachusetts Institute of Technology *Corresponding author: MIT Room 1-181, 77 ... more MOSHE BEN-AKIVA* Massachusetts Institute of Technology *Corresponding author: MIT Room 1-181, 77 Massachusetts Avenue, Cambridge, MA 02139, Tel.: (617) 253-5324; Fax: (617) 253-0082; e-mail: mba@mit.edu ... DANIEL MCFADDEN AND ...
Page 1. Algorithm 717 Subroutines for Maximum Likelihood and Quasi-Likelihood Estimation of Param... more Page 1. Algorithm 717 Subroutines for Maximum Likelihood and Quasi-Likelihood Estimation of Parameters in Nonlinear Regression Models ... Vol. 19, No 1, March 1993 Page 3. Subroutines for Maximum Likelihood and Quasi-Likelihood Estimation . 111 ...
We review current state-of-the-art practices for combining preference data from multiple sources ... more We review current state-of-the-art practices for combining preference data from multiple sources and discuss future research possibilities. A central theme is that any one data source (eg, a scanner panel source) is often insufficient to support tests of complex theories of choice and decision making. Hence, analysts may need to embrace a wider variety of data types and measurement tools than traditionally have been considered in applied decision making and choice research. We discuss the viability of preference-stationarity ...
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