Explore the vast range of titles available.

This paper employs a pseudo-panel approach to study vehicle ownership evolution in Montreal region, Canada using cross-sectional origin–destination survey datasets of 1998, 2003 and 2008. Econometric modeling approaches that simultaneously accommodate the influence of observed and unobserved attributes on the vehicle ownership decision framework are implemented. Specifically, we estimate generalized versions of the ordered response model—including the generalized, scaled- and mixed-generalized ordered logit models. Socio-demographic variables that impact household’s decision to own multiple cars include number of full and part-time working adults, license holders, middle aged adults, retirees, male householders, and presence of children. Increased number of bus stops, longer bus and metro lengths within the household residential location buffer area decrease vehicle fleet size of households. The observed results also varied across years as manifested by the significance of the interaction terms of some of the variables with the time elapsed since 1998 variable. Moreover, variation due to unobserved factors are captured for part-time working adults, number of bus stops, and length of metro lines. In terms of the effect of location of households, we found that some neighborhoods exhibited distinct car ownership temporal dynamics over the years.

Rural communities are more likely to encounter constraints in achieving food security and adequate nutritional supply. This study explores food security, nutritional supply, nutrient adequacy, macronutrient balance, recipes, and nutrient sources based on bi-monthly household surveys in rural villages in Northern and Southern Burkina Faso from 2019 to 2020. Food security across time and its quantity dimensions were measured using the food consumption score (FCS). Ordered logit regression showed that FCS was significantly influenced by season, region, and household characteristics such as the head’s education and women’s possession of personal plots. The regional differences were large: Households categorized as having “poor” diets were approximately 1% and 38% in the south and north, respectively. Nutrient adequacy was assessed by converting 24 h dietary recall into nutrient supply and comparing the results to the requirement. While macronutrient balance appeared adequate in the pooled sample, it became unacceptable when the two regions were considered separately. Most micronutrient supplies were insufficient. Cereals were the main nutrient sources, and leaves of crops and potash (additive containing potassium) were also non-negligible for micronutrient supplies. Overall, we found large regional differences in nutrition and food security, indicating that various local contexts must be considered for effective nutritional improvement.

The main objective of this paper is to analyse user satisfaction with road, maritime, air, and rail transport services in Turkey using four distinctive ordered response models. The estimation results reveal that partial constrained generalized ordered logit model has the best model fit for road and maritime transport services. In addition, ordered logit and generalized ordered logit are the convenient models for air and rail transport services, respectively. Results also indicate that current residence (urban), gender (male), occupational sector (private), and education level (low educated) were the statistically significant variables that are more likely to increase user satisfaction. This paper is probably the first attempt to analyse user satisfaction with all transport services using comparative ordered response models. As a social indicator, the results of this study may provide a valuable evidence for future sustainable transport policies in Turkey.

In Colombia, a socioeconomic stratification (SES) system of households based on the physical characteristics of the dwelling and its surroundings is implemented in order to set subsidies to public services. Many studies use this classification as a proxy variable for the household income, mainly because of the ease to retrieve data. This investigation proposes an evaluation of the SES as an explanatory variable for the household income. Ordered logit regressions were estimated for the cities of Bogotá, Medellín, Cali and Barranquilla, where the dependent variable corresponds to the SES. Even though there is a positive correlation between SES and household income, the relation depends on certain characteristics of the household as it size, vehicle availability and percentage of workers and students. The results were validated by comparing trip generation models. By including the significant attributes from the ordinal regressions, trip generation models with income and SES had similar fit, which suggests that using the SES as a proxy variable for the income, might be appropriate as long as their correspondence is checked according to household characteristics.

This study aims to analyze the relationship between family time allocation patterns and subjective well-being of Chinese married women. Using the fixed-effect ordered logit model and data from CFPS 2014–2018, this study empirically explores the impact mechanism and heterogeneity of family time allocation patterns on married women’s well-being. The results indicate that the mode of working full-time and handling the majority of housework is an impact negatively for women, and this result is robust. Further heterogeneity analysis reveals that market work has a weaker impact on low-educated women’s well-being than housework, but this is reversed for high-educated women. In particular, the single-time poverty brought on by housework specifically reduces women’s well-being, more than that of dual-time poverty of work time and housework time. Also, the happiness efficiency resulting from women reducing housework time will increase with the rise in happiness levels. Accordingly, this paper highlights three policy implications: enhancing happiness effectiveness, optimizing family time allocation patterns, and raising women’s status. The conclusion clarifies the path to gender equality in family labor division and provides new recommendations for relevant nations on how to promote the equalized gender division of labor and enhance the standard of living for women.

The COVID-19 pandemic has wreaked havoc in Korean society since the end of 2019. Unlike prior to the pandemic, when online and offline activities were conducted side-by-side, many aspects of consumers’ daily lives are only conducted online, especially shopping and meetings. This study analysed the characteristics of consumers who have used offline shopping channels during the pandemic. In addition, participants were asked how often they will use online and offline shopping channels after society stabilizes from COVID-19 in order to analyse what determinants will be used to select either online or offline shopping channels after the pandemic. This study will contribute to provide a deeper understanding of the consumption patterns of consumers (online vs. offline) during times of deep external impact, such as a pandemic.

This study presents an empirical investigation of the impacts of real-time weather conditions on the freeway crash severity. A Bayesian spatial generalized ordered logit model was developed for modeling the crash severity using the hourly wind speed, air temperature, precipitation, visibility, and humidity, as well as other observed factors. A total of 1424 crash records from Kaiyang Freeway, China in 2014 and 2015 were collected for the investigation. The proposed model can simultaneously accommodate the ordered nature in severity levels and spatial correlation across adjacent crashes. Its strength is demonstrated by the existence of significant spatial correlation and its better model fit and more reasonable estimation results than the counterparts of a generalized ordered logit model. The estimation results show that an increase in the precipitation is associated with decreases in the probabilities of light and severe crashes, and an increase in the probability of medium crashes. Additionally, driver type, vehicle type, vehicle registered province, crash time, crash type, response time of emergency medical service, and horizontal curvature and vertical grade of the crash location, were also found to have significant effects on the crash severity. To alleviate the severity levels of crashes on rainy days, some engineering countermeasures are suggested, in addition to the implemented strategies.

We estimate school-choice preferences revealed by the rank-ordered lists submitted by more than 22,000 applicants to a citywide lottery for more than 200 traditional and charter public schools in Washington, D.C. The results confirm previously reported findings that commuting distance, schoo demographics, and academic indicators play important roles in school choice and that there is considerable heterogeneity of preferences. Higher and lower income choosers respond to academic quality measures, but respond to different indicators of quality. Simulations suggest segregation by race and income would be reduced and enrollment in high-performing schools increased if policymakers were to relax school capacity constraints in individual campuses. The simulations also suggest that removing the lowest performing schools as choice options couldfurther reduce segregation and increase enrollment in high-performing schools.

Understanding the influence factors and related causation of hazardous materials can improve hazardous materials drivers’ safety awareness and help traffic professionals to develop effective countermeasures. This study investigates the statistical distribution characteristics, such as types of hazardous materials transportation accidents, driver properties, vehicle properties, environmental properties, road properties. In total, 343 data regarding hazardous materials accidents were collected from the chemical accident information network of China. An ordered logit regression (OLR) model is proposed to account for the unobserved heterogeneity across observations. Four independent variables, such as hazardous materials drivers’ properties, vehicle properties, environmental properties, and road properties are employed based on the OLR model, an ordered multinomial logistic regression (MLR) is estimated the OLR model parameters. Both parameter estimates and odds ratio (OR) are employed to interpret the impact of influence factors on the severity of hazardous materials accidents. The model estimation results show that 10 factors such as violations, unsafe driving behaviors, vehicle faults, and so on are closely related to accidents severity of hazardous materials transportation. Furthermore, three enforcement countermeasures are proposed to prevent accidents when transporting hazardous materials.

Purpose – The purpose of this study was to investigate the socioeconomic impact on perceived household food security in the North Luwu District of South Sulawesi Province in the eastern part of Indonesia. In Indonesia, 87 million people are presently vulnerable to food insecurity. Thus, the United Nations Development Programme’s primary millennium development goal for Indonesia is to halve the number of people who suffer from hunger by 2015. It is clear that food security at the household level is crucial to achieving this target. Design/methodology/approach – In total, 371 household heads were interviewed. The households’ perceptions of their food security status were captured by asking the household head the following question: “How do you perceive your household’s food security status during the last month”? Respondents could select from the following options: insecure, somewhat insecure, somewhat secure, secure and highly secure. Here, the household head’s answer is regarded as the household’s subjective food security status (SFSS). We then applied descriptive analysis and an ordered logit model to determine the socioeconomic factors that influence SFSS. Findings – As expected, in both analyses, household income and formal level of education have a strong relationship to SFSS. However, this study finds that food nutrition knowledge also shows a significant role in enhancing the probability that household SFSS will be in a better food security category. This could be a breakthrough in improving household food security status given the lack of formal education. Practical implications – Neighborhood resource-based food preparation counseling programs are essential. Existing food programs for Indonesian households should be reoriented and incorporated into the non-formal educational curriculum and should be carried out at the family level or in small groups to ensure that the message of the program is delivered effectively. In the short term, for non-farm households, the government should provide targeted households with crash programs such as revolving funds for household-level business activities. For farm households, ensuring that farming infrastructures, facilities and technologies are adequate and affordable is crucial to sustaining their production process. Originality/value – This is the first study to investigate the perceptions of household heads on their food security status in Indonesia. Most prior studies on household food security in Indonesia were conducted in response to Indonesia’s 1997 economic crisis and focused predominantly on Java, in the western part of Indonesia; there is little existing research on the eastern part of Indonesia. Moreover, this study is the first to emphasize the significant role of food nutrition knowledge in increasing the probability of household heads’ perceptions on their food security status being in a better category.