Electric vehicles and residential parking in an urban environment: Results from a stated preference experiment

2020 ◽  
Vol 79 ◽  
pp. 102222 ◽  
Author(s):  
Erick Guerra ◽  
Ricardo A. Daziano
2021 ◽  
Vol 13 (14) ◽  
pp. 7725
Author(s):  
Reema Bera ◽  
Bhargab Maitra

Plug-in Hybrid Electric Vehicles (PHEVs) can help decarbonize road transport in urban India. To accelerate the diffusion of PHEVs, investigation of commuter preferences towards the attributes of PHEVs is necessary. Therefore, the present study analyzes prospective owners’ choice decisions towards PHEVs in a typical Indian context. A stated preference survey was designed to collect responses from the current owners of conventional vehicles (CVs) in Delhi, India, and Mixed Logit (ML) models were developed to estimate commuters’ Willingness To Pay (WTP) for a set of key PHEV-specific attributes. The decomposition effect of prospective owners’ sociodemographic characteristics and trip characteristics on the mean estimates of random parameters was investigated by developing ML models with heterogeneity. Subsequently, the influence of improvement of each PHEV-specific attribute on prospective owners’ choice probability was investigated by calculating marginal effects. Among the various PHEV-specific attributes considered in the present study, high WTPs are observed for decrease in battery recharging time, reduction in tailpipe emission and increase in electric range. Therefore, an added emphasis on these attributes by vehicle manufacturers is likely to enhance the attractiveness of PHEVs to Indian commuters. The results also highlight the importance of government subsidy for promoting PHEVs in the Indian market. Prospective owners’ income, availability of home-based parking space, and average daily trip length are found to significantly influence the choice decision of Indian commuters towards PHEVs.


Author(s):  
Edith Weisberg ◽  
Deborah Bateson ◽  
Stephanie Knox ◽  
Marion Haas ◽  
Rosalie Viney ◽  
...  

1981 ◽  
Vol 1 (3) ◽  
pp. 271-290
Author(s):  
Lars Öjefors

Author(s):  
J.D. Hunt

A stated-preference experiment was performed in Calgary, Alberta, Canada, to examine the nature of various influences on location decisions by various categories of small independent retail firms. A total of 287 completed observations were obtained. In each observation the respondent shop owner or manager was presented with a set of possible shop locations and asked to indicate the order of preference for those locations. These observations were used to estimate the parameter values for a range of alternative utility functions in logit models representing this choice behavior. The results indicate that all the included attributes have significant effects except for the driving time to the nearest electrical substation, which was included as an irrelevant variable to see if the method would indicate it was irrelevant. The results also indicate that the addition of one more competitor nearby is as onerous as an increase in rent of C$127 per month; a switch from a separate location on a minor road to a separate location on a major road is as desirable as a decrease in rent of C$388 per month; a switch from a separate location on a minor road to a mall is as desirable as a decrease in rent of C$665 per month; and an increase in parking charge of C$1 per hour for customers is as onerous as an increase in rent of almost C$200 per month. Some results are novel and others are broadly consistent with findings in other research, which is seen to add credence to the approach used.


Energies ◽  
2020 ◽  
Vol 13 (15) ◽  
pp. 3959 ◽  
Author(s):  
Soyeong Park ◽  
Solji Nam ◽  
Myoungjin Oh ◽  
Ie-jung Choi ◽  
Jungwoo Shin

As a countermeasure to the greenhouse gas problem, the world is focusing on alternative fuel vehicles (AFVs). The most prominent alternatives are battery electric vehicles (BEV) and fuel cell electric vehicles (FCEVs). This study examines FCEVs, especially considering hydrogen refueling stations to fill the gap in the research. Many studies suggest the important impact that infrastructure has on the diffusion of AFVs, but they do not provide quantitative preferences for the design of hydrogen refueling stations. This study analyzes and presents a consumer preference structure for hydrogen refueling stations, considering the production method, distance, probability of failure to refuel, number of dispensers, and fuel costs as core attributes. For the analysis, stated preference data are applied to choice experiments, and mixed logit is used for the estimation. Results indicate that the supply stability of hydrogen refueling stations is the second most important attribute following fuel price. Consumers are willing to pay more for green hydrogen compared to gray hydrogen, which is hydrogen produced by fossil fuels. Driver fuel type and perception of hydrogen energy influence structure preference. Our results suggest a specific design for hydrogen refueling stations based on the characteristics of user groups.


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