scholarly journals The Effects of Life Course Events on Car Ownership and Sustainable Mobility Tools Adoption Decisions: Results of an Error Component Random Parameter Logit Model

2021 ◽  
Vol 13 (12) ◽  
pp. 6816
Author(s):  
Gaofeng Gu ◽  
Tao Feng ◽  
Chixing Zhong ◽  
Xiaoxi Cai ◽  
Jiang Li
Keyword(s):  
Life Course ◽  
Logit Model ◽  
Random Parameter ◽  
Error Component ◽  
Car Ownership ◽  
Sustainable Mobility ◽  
Car Sharing ◽  
Random Parameter Logit ◽  
Electric Bike ◽  
Random Parameter Logit Model

Life course events can change household travel demand dramatically. Recent studies of car ownership have examined the impacts of life course events on the purchasing, replacing, and disposing of cars. However, with the increasing diversification of mobility tools, changing the fleet size is not the only option to adapt to the change caused by life course events. People have various options with the development of sustainable mobility tools including electric car, electric bike, and car sharing. In order to determine the impacts of life course events on car ownership and the decision of mobility tool type, a stated choice experiment was conducted. The experiment also investigated how the attributes of mobility tools related to the acceptance of them. Based on existing literature, we identified the attributes of mobility tools and several life course events which are considered to be influential in car ownership decision and new types of mobility tools choice. The error component random parameter logit model was estimated. The heterogeneity across people on current car and specific mobility tools are considered. The results indicate people incline not to sell their current car when they choose an electric bike or shared car. Regarding the life course events, baby birth increases the probability to purchase an additional car, while it decreases the probability to purchase an electric bike or joining a car sharing scheme. Moreover, the estimation of error components implies that there is unobserved heterogeneity across respondents on the sustainable mobility tools choice and the decision on household’s current car.

scholarly journals U.S. Consumers' Willingness to Pay for Food Labeled ‘Genetically Modified’

2006 ◽  
Vol 35 (2) ◽  
pp. 299-310 ◽  
Author(s):  
Benjamin Onyango ◽  
Rodolfo M. Nayga ◽  
Ramu Govindasamy
Keyword(s):  
Logit Model ◽  
Genetically Modified ◽  
Random Parameter ◽  
Nationwide Survey ◽  
Choice Modeling ◽  
Modeling Framework ◽  
A Value ◽  
Label Information ◽  
Random Parameter Logit ◽  
Random Parameter Logit Model

This study analyzes U. S. consumers' choice of cornflakes under five different labeling statements. Using a nationwide survey and choice modeling framework, results indicate that consumers value labeling statements differently, depending on the information contained on the label. The random parameter logit model results indicated that, compared to cornflakes that have no label information, cornflakes labeled “contains no genetically modified com” have a value of 10 percent more, the label “USDA approved genetically modified com” has a value of 5 percent more, and the label “com genetically modified to reduce pesticide residues in your food” has a value of 5 percent more. The results also suggest that consumers negatively valued the label “contains genetically modified com,” paying 6.5 percent less, and the label “may contain genetically modified com,” paying 1 percent less than the product that has no label information.

scholarly journals The Bundling Strategy: The One-Click Effect on Loss Aversion

2019 ◽  
Vol 44 (4) ◽  
pp. 704-712 ◽  
Author(s):  
Juan Luis Nicolau ◽  
Ricardo Sellers
Keyword(s):  
Loss Aversion ◽  
Logit Model ◽  
Random Parameter ◽  
Expected Loss ◽  
Random Parameter Logit ◽  
The One ◽  
Different Levels ◽  
Price Responsiveness ◽  
Random Parameter Logit Model ◽  
Airline Ticket

This research aims to determine different levels of loss aversion in the context of price responsiveness and service bundling. Considering that nonlinearities in price responses may exist in a bundling strategy, this research tests the existence of different degrees of loss aversion, depending on whether an individual books one service independently of another (e.g., an airline ticket independently of accommodation) or as part of a bundle (e.g., a package that includes an airline ticket plus accommodation). We estimate a random parameter logit model. Empirical application shows that people who book a flight independently of accommodation are more loss averse than those who book a package that includes flight and accommodation. To explain this result, we propose the one-click effect so that people who find a price higher than expected (loss aversion) are more willing to accept it if the product is included in a bundle.

scholarly journals Can I Trust You? Estimation Models for e-Bikers Stop-Go Decision before Amber Light at Urban Intersection

2020 ◽  
Vol 2020 ◽  
pp. 1-17
Author(s):  
Jing Cai ◽  
Jianyou Zhao ◽  
Yusheng Xiang ◽  
Jing Liu ◽  
Gang Chen ◽  
...  
Keyword(s):  
Traffic Safety ◽  
Logit Model ◽  
Random Parameter ◽  
Autonomous Driving ◽  
Analytical Models ◽  
Contributing Factors ◽  
Acceleration Rate ◽  
Signal Change ◽  
Random Parameter Logit ◽  
Random Parameter Logit Model

Electric bike (e-bike) riders’ inappropriate go-decision, yellow-light running (YLR), could lead to accidents at intersection during the signal change interval. Given the high YLR rate and casualties in accidents, this paper aims to investigate the factors influencing the e-bikers’ go-decision of running against the amber signal. Based on 297 cases who made stop-go decisions in the signal change interval, two analytical models, namely, a base logit model and a random parameter logit model, were established to estimate the effects of contributing factors associated with e-bikers’ YLR behaviours. Besides the well-known factors, we recommend adding approaching speed, critical crossing distance, and the number of acceleration rate changes as predictor factors for e-bikers’ YLR behaviours. The results illustrate that the e-bikers’ operational characteristics (i.e., approaching speed, critical crossing distance, and the number of acceleration rate change) and individuals’ characteristics (i.e., gender and age) are significant predictors for their YLR behaviours. Moreover, taking effects of unobserved heterogeneities associated with e-bikers into consideration, the proposed random parameter logit model outperforms the base logit model to predict e-bikers’ YLR behaviours. Providing remarkable perspectives on understanding e-bikers’ YLR behaviours, the predicting probability of e-bikers’ YLR violation could improve traffic safety under mixed traffic and fully autonomous driving condition in the future.

Chinese consumers’ willingness-to-pay for safety label on tomato: evidence from choice experiments

2017 ◽  
Vol 9 (1) ◽  
pp. 141-155 ◽  
Author(s):  
Shijiu Yin ◽  
Mo Chen ◽  
Yingjun Xu ◽  
Yusheng Chen
Keyword(s):  
Food Safety ◽  
Willingness To Pay ◽  
Logit Model ◽  
Random Parameter ◽  
Choice Experiments ◽  
Content Type ◽  
Significant Difference ◽  
Random Parameter Logit ◽  
Organic Label ◽  
Random Parameter Logit Model

Purpose Unlike some developed countries, Chinese food safety certification system is multi-level including organic/green/hazard-free certifications. The purpose of this paper is to assess consumers’ preferences for tomatoes carrying these different labels. Design/methodology/approach Data used in this study came from choice experiments (CEs) conducted in Shandong province, China. Based on experiment data, a random parameter logit model was established to analyze consumers’ willingness-to-pay (WTP). Findings Consumers’ WTP for organic tomatoes was higher than that for hazard-free and green-certified tomatoes. Furthermore, consumers’ WTP for the European Union (EU) organic label was higher than that for the Chinese organic label, whereas a non-significant difference existed between the levels of consumers’ WTP for hazard-free and green-certified tomatoes. Consumers with different food safety risk perception (FSRP) had large differences in WTP, whereas those with varying environmental awareness (ENAW) had similar levels of WTP. Originality/value This contribution is the first research which focuses on consumers’ WTP for EU organic label, Chinese organic label, green label, or hazard-free label on tomato through CEs in China. Furthermore, the influence of consumers’ FSRP and ENAW on their preference was analyzed through a random parameter logit model.

scholarly journals TEMPORAL AND PARAMETRIC STUDY OF TRAVELLER PREFERENCE HETEROGENEITY USING RANDOM PARAMETER LOGIT MODEL

2014 ◽  
Vol 4 (4) ◽  
pp. 437-455 ◽  
Author(s):  
AHM Mehbub Anwar ◽  
Kiet Tieu ◽  
Peter Gibson ◽  
Matthew J. Berryman ◽  
Khin Than Win ◽  
...  
Keyword(s):  
Parametric Study ◽  
Logit Model ◽  
Random Parameter ◽  
Preference Heterogeneity ◽  
Random Parameter Logit ◽  
Random Parameter Logit Model

Modeling Shadow Evacuation for Hurricanes with Random-Parameter Logit Model

2016 ◽  
Vol 2599 (1) ◽  
pp. 43-51 ◽  
Author(s):  
Weihao Yin ◽  
Pamela Murray-Tuite ◽  
Satish V. Ukkusuri ◽  
Hugh Gladwin
Keyword(s):  
Logit Model ◽  
Random Parameter ◽  
Random Parameter Logit ◽  
Random Parameter Logit Model

scholarly journals A logistic distribution model of new short sea shipping line along a mutimodal corridor in Italy

2021 ◽  
Vol 81 (ET.2021) ◽  
pp. 1-11
Author(s):  
Mauro Catalani
Keyword(s):  
Logit Model ◽  
Random Parameter ◽  
Multinomial Logit Model ◽  
Distribution Model ◽  
Logistic Distribution ◽  
Short Sea Shipping ◽  
Multimodal Transport ◽  
Random Parameter Logit ◽  
Transport Choice ◽  
Random Parameter Logit Model

The purpose of the application focuses on an intermodal model (RPL) to simulate the transport choice for freight sending on the most relevant corridor Naples–Milan. In this, operate a rail- road system with the introduction a new short sea shipping (SSS) intermodal line (Naples Sea Genova road Milan). The paper considers a collaboration with a multimodal transport operator, with many logistic platforms in Italy to analyze the degree of competition inside corridor. An application along this very congested route Milan (Segrate interport) - Nola (Naples interport) was used. The econometric models applied to operator choices are a random parameter logit model vs multinomial logit model with frequency, type of load and cost as main parameters.

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