Modeling the demand for electric mobility in the Canadian rental vehicle market

Dimatulac, Terence; Maoh, Hanna; Khan, Shakil Ahamed; Ferguson, Mark

doi:10.1016/j.trd.2018.08.002

Cited by 21 publications

(5 citation statements)

References 33 publications

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“…Logit models have been used widely in several fields, including medicine, biology, psychology, economics, insurance, politics, etc. Recent applications of binary response specification in car renting are Gomes de Menezes and Uzagalieva (2012), Masiero and Zoltan (2013), Dimatulac et al (2018) or Narsaria et al (2020), among others. Gomes de Menezes and Uzagalieva (2012) analyze the demand function of car rentals in the Azores, taking into account the asymmetry by estimating a family of zero-inflated models.…”

Section: Methodsmentioning

confidence: 99%

Skewed Binary Regression to Study Rental Cars by Tourists in the Canary Islands

Cárdenes

Sánchez

Gómez–Déniz

et al. 2021

JRFM

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Tourism is one of the economic sectors that contributes the most to the gross domestic product in many countries, moving, in turn, other economic sectors such as transport. In particular, the automotive industry constitutes an economic subsector that moves vast amounts of money. Concerning tourism and transport sectors, car rental is a crucial element contributing considerably to gross domestic product and job creation. Due to the effects that vehicle rental seems to have on various economic sectors, it seems interesting to know why a tourist chooses to rent a car during their vacation in a specific destination. This work aims to study those factors that can be considered relevant and affect the probability of renting a vehicle. The document addressed the following research topics: (a) identifying significant variables; and (b) can information on these factors help car rental firms? Empirically, it is shown that more tourists do not rent a car and this fact has to be considered. Thus, the classical logistic and Bayesian regression models do not seem adequate in this case, so that the authors will consider an asymmetric logistic regression model. This work analyzes 28,235 tourists who visited the Canary Islands during 2017. From a Bayesian point of view, asymmetric logistics regression is chosen as the best model because it detects relevant development factors not seen by standard logistic regressions. In light of the document’s findings, various practice recommendations improve decision-making in this field. The asymmetric logit link is a helpful device that can help rental companies make decisions about their clients.

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Section: Methodsmentioning

confidence: 99%

Skewed Binary Regression to Study Rental Cars by Tourists in the Canary Islands

Cárdenes

Sánchez

Gómez–Déniz

et al. 2021

JRFM

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“…The dataset utilized here comes from the revealed choice portion of a nationwide online survey deployed in early 2016, targeting approximately 1,000 Canadians (Dimatulac et al 2018). Nearly 62% of all respondents indicated that they have rented a vehicle for 'leisure' purposes, while about 34% acquired a rental vehicle either as a 'temporary replacement' vehicle (18%) or for 'business' trips (16%).…”

Section: Methods and Datamentioning

confidence: 99%

Modeling the Purpose for Renting Passenger Vehicles

Dimatulac¹,

Maoh²,

Khan³

2019

Transport Findings

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This article specifies and estimates a multinomial logit model (MNL) to explain the purpose of renting a vehicle for short-term use. The model, which predicts the probability of renting a vehicle for business, leisure, temporary replacement, or other purposes, is estimated using a random sample of approximately 1,000 individuals from 10 Canadian provinces. The records used in the analysis were collected in 2016 via an online survey. The findings suggest that the purpose for renting could be predicted through factors associated with the sociodemographic characteristics of the renters and their rental plans, as well as attributes associated with the rented vehicle.International License (CCBY-NC-4.0). View this license's legal deed at https://creativecommons.org/ licenses/by-nc/4.0 and legal code at https://creativecommons.org/licenses/by-nc/4.0/legalcode for more information.Modeling the Purpose for Renting Passenger Vehicles Transport Findings

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“…Based on actual data gathered from in-person surveys, WTP is calculated (Ramos-Real et al, 2018). WTP was also utilized to create incentives to improve the consumer appeal of items (Dimatulac et al, 2018).…”

Section: Willingness To Pay (Wtp)mentioning

confidence: 99%

The Determination of Willingness to Pay for Electrical Vehicles: A Literature Review

Tuladhar,

Yuangyai,

Pengsakul

et al. 2023

IJEEP

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With growing concerns about climate change and an unreliable fuel market, the world is shifting toward an electric-based transportation system, which requires a country to overhaul major infrastructures, establish highly funded research, change government regulations, and adapt available resources in order to transition from a gasoline-based transportation system to an electric one. The study is focused on consumers’ determination of willingness to pay for electrical vehicles. By examining consumers' intentions to buy or not buy electric vehicles, researchers are attempting to determine what factors are motivating them to do so which may be range factor, demographic factors, marketing, charging station, government policy. The review studies show the various factors for determination of willingness to pay for electric vehicle.

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Modeling the demand for electric mobility in the Canadian rental vehicle market

Cited by 21 publications

References 33 publications

Skewed Binary Regression to Study Rental Cars by Tourists in the Canary Islands

Skewed Binary Regression to Study Rental Cars by Tourists in the Canary Islands

Modeling the Purpose for Renting Passenger Vehicles

The Determination of Willingness to Pay for Electrical Vehicles: A Literature Review

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