scholarly journals Exploring the Effect of Bicycle Infrastructure on Car Usage: A Case Study in Huhhot, China

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Meiying Jian ◽  
Xiaojuan Li ◽  
Jinxin Cao ◽  
Zhenyu Liu
Keyword(s):  
Logit Model ◽  
Stated Preference ◽  
Mixed Logit ◽  
Random Coefficients ◽  
Decision Makers ◽  
Walking Distance ◽  
Mixed Logit Model ◽  
Rational Allocation ◽  
Bicycle Infrastructure

This study aimed to quantitatively investigate the effect of bicycle infrastructure on car usage. The mixed logit model with random coefficients was used to capture the differences in individuals’ preferences. Based on data from a stated preference survey conducted in Huhhot, China, the estimated results showed that the mixed logit model provides better fitting than the standard logit model. Considerable variations were found in individuals’ attitudes toward the use of cars and bicycles. Riding a bicycle is preferred by most individuals. Furthermore, based on the constraints for maintaining the effect on car usage equal, the equivalent change in parking fees for improvement in bicycle infrastructures was estimated. The results showed that the effect of a 100 m reduction in walking distance to bicycle stations on the probability of driving is the same as that of an approximately 2.00 yuan/h (US 0.30$/h) increase in the parking fees, and the effect of providing bike lanes is in line with additional parking fees of approximately 3.00 yuan/h (US 0.45$/h). The findings of this study can be an important reference for decision makers to consider improvements in bicycle systems and rational allocation of infrastructure investment and road resources.

scholarly journals Influence of Electronic-Docking Stations on China’s Dockless Bikesharing Programs: Evidence from Beijing

2020 ◽  
Vol 12 (9) ◽  
pp. 3588
Author(s):  
Xiaofang Yang ◽  
Hai Jiang
Keyword(s):  
Logit Model ◽  
Regression Models ◽  
Stated Preference ◽  
Mixed Logit ◽  
Mixed Logit Model ◽  
Choice Probability ◽  
Monthly Income ◽  
The Sustainable Development ◽  
Physical Exercises ◽  
Research Questions

Electronic-docking stations have been proposed and tested by some Chinese cities to address the issue of disorderly parking of dockless bikesharing programs. We study the influence of electronic-docking stations on dockless bikesharing programs, and measure and explain riders’ preferences toward dockless bikesharing and electronic-docking stations. These research questions are addressed by a mixed logit model and regression models based on stated preference survey data collected in Beijing. We obtain some interesting empirical results which offer some guidance for governments and operators to facilitate the sustainable development of dockless bikesharing programs. For instance, we find that riders are sensitive to the density for electronic-docking stations, but somewhat indifferent to the rental fee of 1–2 yuan for each ride; the choice probability of riding a dockless shared bike drops by about 8–9% when access or egress time increases by 5 min; the fraction of riders interested in dockless bikesharing programs is close to 100%, while launching electronic-docking stations reduces this number to 88%; riders are willing to pay about 1.0–1.1 yuan to save access or egress time by 5 min; riders who live or work away from public transit stations or who often engage in physical exercises are interested in dockless bikesharing programs; and riders indifferent to the introduction of electronic-docking stations mainly include those who are above 26 years old and those with monthly income less than or equal to 8000 yuan.

scholarly journals Econometric Modelling: Basics

2020 ◽  
pp. 61-81
Author(s):  
Petr Mariel ◽  
David Hoyos ◽  
Jürgen Meyerhoff ◽  
Mikolaj Czajkowski ◽  
Thijs Dekker ◽  
...  
Keyword(s):  
Logit Model ◽  
Mixed Logit ◽  
Random Parameter ◽  
Estimation Procedure ◽  
Random Coefficients ◽  
Mixed Logit Model ◽  
Choice Data ◽  
Cost Attribute ◽  
Attribute Levels ◽  
The Cost

AbstractThis chapter addresses basic topics related to choice data analysis. It starts by describing the coding of attribute levels and choosing the functional form of the attributes in the utility function. Next, it focuses on econometric models with special attention devoted to the random parameter mixed logit model. In this context, the chapter compares different coefficient distributions to be used, addresses specifics of the cost attribute coefficient and it pays attention to potential correlations between random coefficients. Finally, topics related to the estimation procedure such as assuring its convergence or random draws are discussed.

scholarly journals Motorcycle Drivers’ Parking Lot Choice Behaviors in Developing Countries: Analysis to Identify Influence Factors

2019 ◽  
Vol 11 (9) ◽  
pp. 2463 ◽  
Author(s):  
Phuc Hai Hoang ◽  
Shengchuan Zhao ◽  
Siv Eng Houn
Keyword(s):  
Developing Countries ◽  
Logit Model ◽  
Choice Behavior ◽  
Mixed Logit ◽  
Influence Factors ◽  
Choice Models ◽  
Walking Distance ◽  
Mixed Logit Model ◽  
Parking Lot ◽  
The Impact

Drivers’ behaviors to look for a parking space are affected by numerous influence factors, and there are differences between motorcycle drivers and other drivers, such as car drivers and truck drivers. In many developing countries, motorcycles dominate urban transportation, and it is essential to assess the impact of motorcycle drivers’ parking choice behavior as a solution to reduce the effect on traffic flow. This study identified the influence factors of motorcycle drivers’ parking lot choice models in a developing country, Viet Nam. Data were collected in a motorcycle dependent city, Ho Chi Minh (HCM) City, typically. A stated preference (SP) survey was designed and collected 318 answers from motorcycle drivers. Various discrete choice models under the assumption of random utility maximizations (RUM), which included the mixed logit model, multinomial logit model, and nested logit model, were employed to evaluate the influence factors on motorcycle drivers’ parking choice behavior models. The results showed that the mixed logit model fit with the data. Parking fee, walking distance, the capacity of the parking lot, and queuing time have significant effects on parking lot choice modeling. However, navigation and street sign variables showed a lesser effect on the choices of motorcycle users. This study towards parking planning solution for motorcycles and the author expects that it would be helpful to further study on the parking lot in developing countries.

scholarly journals Parental Vaccine Preferences for Their Children in China: A Discrete Choice Experiment

Vaccines ◽  
2020 ◽  
Vol 8 (4) ◽  
pp. 687
Author(s):  
Tiantian Gong ◽  
Gang Chen ◽  
Ping Liu ◽  
Xiaozhen Lai ◽  
Hongguo Rong ◽  
...  
Keyword(s):  
Side Effects ◽  
Discrete Choice Experiment ◽  
Discrete Choice ◽  
Logit Model ◽  
Choice Experiment ◽  
Stated Preference ◽  
Mixed Logit ◽  
National Sample ◽  
Preference Heterogeneity ◽  
Mixed Logit Model

Background: Vaccination is one of the most cost-effective health investments to prevent and control communicable diseases. Improving the vaccination rate of children is important for all nations, and for China in particular since the advent of the two-child policy. This study aims to elicit the stated preference of parents for vaccination following recent vaccine-related incidents in China. Potential preference heterogeneity was also explored among respondents. Methods: A discrete choice experiment was developed to elicit parental preferences regarding the key features of vaccines in 2019. The study recruited a national sample of parents from 10 provinces who had at least one child aged between 6 months and 5 years old. A conditional logit model and a mixed logit model were used to estimate parental preference. Results: A total of 598 parents completed the questionnaire; among them, 428 respondents who passed the rational tests were analyzed. All attributes except for the severity of diseases prevented by vaccines were statistically significant. The risk of severe side effects and protection rates were the two most important factors explaining parents’ decisions about vaccination. The results of the mixed logit model with interactions indicate that fathers or rural parents were more likely to vaccinate their children, and children whose health was not good were also more likely to be vaccinated. In addition, parents who were not more than 30 years old had a stronger preference for efficiency, and well-educated parents preferred imported vaccines with the lowest risk of severe side effects. Conclusion: When deciding about vaccinations for their children, parents in China are mostly driven by vaccination safety and vaccine effectiveness and were not affected by the severity of diseases. These findings will be useful for increasing the acceptability of vaccination in China.

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