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Several activity-based transportation models are now becoming operational and are entering the stage of application for the modelling of travel demand. In our application, we will use decision rules to support the decision-making of the model instead of principles of utility maximization, which means our work can be interpreted as an application of the concept of bounded rationality in the transportation domain. In this chapter we explored a novel idea of combining decision trees and Bayesian networks to improve decision-making in order to maintain the potential advantages of both techniques. The results of this study suggest that integrated Bayesian networks and decision trees can be used for modelling the different choice facets of a travel demand model with better predictive power than CHAID decision trees. Another conclusion is that there are initial indications that the new way of integrating decision trees and Bayesian networks has produced a decision tree that is structurally more stable.

As the ongoing oil prices’ crisis is emerging as a major cause of concern for the Gulf Cooperation Council (GCC) region, the constituent governments are attempting at undertaking measures of economic diversification to attain long-term sustainability. The author posits that open government data (OGD) has a significant role to play in facilitating the economic turnaround of the GCC region, given that OGD promotes innovation and economic growth besides providing avenues for collaboration and participation among different stakeholders.

Following a structured literature review, the paper scans literature on OGD followed by providing a typology of countries on the basis of their OGD-adherence (“laggard”, “caged”, “forerunner” and “champ”). This is followed by a discussion on the ongoing oil prices’ crisis, and evidentiary support is lent by examples from the OGD portals of each of the six GCC countries (Bahrain, Kuwait, Oman, Qatar, Saudi Arabia and United Arab Emirates) to provide indicators as to how a robust OGD implementation may support their economic diversification objectives.

Although the present OGD framework of the GCC is relatively weak, it is asserted that OGD has immense potential in facilitating the economic diversification initiatives of the GCC countries. Therefore, the GCC needs to strategize upon institutionalization of their OGD initiatives for realizing their “vision” and goals of economic diversification to result in an economic turnaround effectively.

Besides providing a typology of countries as OGD-adherents and categorizing GCC as “forerunner(s)” on the basis of the typology, the originality of the study lies in its attempt to answer the research question: “what is the role of the OGD in facilitating the economic diversification of the GCC?” Conceding that the research on OGD in the GCC context is few and far between, the present study is a significant contribution to the extant literature pertaining to the roll-out of OGD in developing countries.

This study aims to investigate the food choice motivations and some healthy food intake among Ardabil adults with different socioeconomic status.

The analysis is based on a focus group study conducted in September 2018. Self-assessed other food choice motivations, healthy food intake and socioeconomic status were reported in questionnaires. The study data were analyzed by one-way ANOVA test and χ² test in groups of study.

Price was a primary motivation of food choice for low-level socioeconomic status persons. The wealthiest people total vegetable consumption was 3.59Â ± 0.004 serving/day, whereas the total vegetable consumption of poorest participants was significantly less than them (p = 0.012). Of the socioeconomics category 1 (SEC1) group participants, 82 per cent said that they consider food price when they were purchasing for their households, while only 28 per cent of SEC4 group said that they consider food prices when food choosing. Only 1 per cent of this group participants pay attention to food label when they choose foods.

This is the first study that investigated the food choice motivations in Ardabil adults. The results indicated that food price is the most critical food choice motivation. Based on this study results, the food policymaker can change people food security and food choices with some programs like as healthy food subsidies and unhealthy food taxes.

University students are one of the vulnerable groups in terms of having nutritional problems due to their lifestyle and social environment. This study aims to determine the consumption of fast food among university students and evaluate factors that may impact it, such as sociodemographic factors, body mass index (BMI) or nutritional habits.

A cross-sectional study was conducted among a random sample of 184 university students (47.8% men and 52.2% women) with a mean age of 21.1 ± 2.0 years. The survey included students’ sociodemographic characteristics, anthropometric measurements, nutritional habits and fast-food consumption. Chi-square test, t-test and binary logistic regression analysis were used depending on the characteristics of the data.

Results indicated that 39.7% of the students consumed fast food at least once in 15 days and preferred these foods for taste, workload and social activity. Consumption of fast food occurred at an earlier age in men (%13.6) and the portions were higher than portions of vegetables (p = 0.001). By using regression analysis, a statistically significant relationship was found between the frequency of fast-food consumption and age, gender, economic status, BMI, the amount of vegetables consumed daily and the habit of eating breakfast (p < 0.05).

It is planned to reach more students in the study. However, due to the COVID-19 pandemic, transportation to students became difficult or could not be reached.

This study is one of the rare studies examining students’ orientation to fast food. The number of studies in this field in Turkey is limited.

This article aims to investigate the role of socioeconomic factors and individual time preferences in the demand for fast-food in Russia. An individual discount rate shows the ability of a person to postpone utility from consumption to future periods.

An individual discount rate is measured through a hypothetical money experiment. The database is the special survey of the Levada analytical center conducted in 2017. Multivariate probit model enables the authors to consider the possible endogeneity of individual discount rate and reveal the relationship between socioeconomic factors and frequent fast-food consumption.

Results show that a higher individual discount rate is related to frequent consumption of fast-food. At the same time, there are factors that provoke both a higher individual discount rate and the refusal of frequent consumption of fast-food. Findings advise the prioritization of measures highlighting the short-term benefits of healthy eating and the short-term costs of avoiding it.

To the authors' knowledge, this article is the first one which presents comprehensive investigation of microeconomic factors of fast-food consumption in Russia including individual time preferences of consumers.

The objective of the study was to assess consumer exposure to warmed-over flavour, their eating habits with respect to pre-cooked stored meats, awareness of antioxidants and attitudes towards the use of natural antioxidants as preservatives in meat and meat products.

A total of 238 Check-All-That-Apply (CATA) design questionnaires were used to gather information from the University of Fort Hare community in the Eastern Cape province of South Africa.

The majority of the respondents had been exposed to warmed-over flavour before. More than half of the respondents did not know about antioxidants. Respondents were in support of the use of natural antioxidants in meat and meat products.

The study mainly captured consumer habits based on living arrangements. Age influence could not be extrapolated due to the nature of the population, which was being studied. The population was limited to the University community, which is mainly made up of not so widely spread age groups and more or less similar levels of education. As a result, the findings and conclusions may not be a true reflection of the general public consumers in terms of age, level of education and employment status.

This research presents an original insight into consumer habits concerning the purchasing and storage of pre-cooked meat and meat products. The study revealed that most consumers nowadays prefer ready-to-eat or pre-cooked meat and meat products due to convenience. The warmed-over flavour is common in pre-cooked meats. The findings suggests that the meat industry has to improve the shelf-life of pre-cooked foods such that warmed-over flavour development is delayed to fit into the current consumer habits. In recent years there has been a growing interest in the use of natural antioxidants to improve shelf-life of muscle foods. However, there is a dearth of information on consumer attitudes towards the use of natural antioxidants as preservatives. This study reveals that consumers are willing to try products formulated using natural antioxidants.

This study aims to investigate whether consumers and small businesses can transition from disposable to reusable coffee cups, using a community social marketing intervention, led by a Social Purpose Organisation.

An emergent case study approach using multiple sources of data developed an in-depth, multifaceted, real-world context evaluation of the intervention. The methodology draws on citizen science “messy” data collection involving multiple, fragmented sources.

Moving from single-use cups to reusables requires collective commitment by retailers, consumers and policymakers, despite the many incentives and penalties applied to incentivise behaviour change. Difficult post-COVID economics, austerity and infrastructure gaps are undermining both reusable acceptance and interim solutions to our dependence upon disposables.

Although the non-traditional methodology rendered gaps and omissions in the data, the citizen science was democratising and inclusive for the community.

Our practical contribution evaluates a whole community intervention setting to encourage reusable cups, integrating multiple stakeholders, in a non-controllable, non-experimental environment in contrast to previous research. This paper demonstrates how small community grants can foster impactful collaborative partnerships between an SPO and researchers, facilitate knowledge-exchange beyond the initial remit and provide a catalyst for possible future impact and outcomes.

To assess the impact at both the outcome and the process level of the intervention, we use Pawson and Tilley’s realist evaluation theory – the Context Mechanism Outcome framework. The methodological contribution demonstrates the process of citizen science “messy” data collection, likely to feature more frequently in future social science research addressing climate change and sustainability challenges.