Investigations of attitudes towards food waste and preferences of policies that affect sustainability has increased rapidly over the past few decades. Most research on food waste, however, has been undertaken mainly in the developed countries with very few in the developing countries. It is very important therefore to investigate food waste and attitudes towards sustainability in developing countries, especially since a huge amount of carbon emissions and other pollutants occur in the developing countries. Saudi Arabia is a rich developing country that sets its 2030 visions to tackle issues related to sustainability. Many strong policies and programs are set in place to fulfil these visions. Such attitudes towards food waste diverges between cultures as a result of differences in background, income, family structure, age, etc. The contribution of this study is that it intends to investigate attitudes and preferences on policies and programs that aim at achieving sustainability and reducing food waste for young university females in Saudi Arabia. The methodology that is adopted in this study is to design a questionnaire, arranged in 5 sections and 23 questions, to collect data from 199 students at Princess Norah Bint Abdulrahman University. The aim of the questionnaire was to evaluate attitudes and preferences of female students towards food waste in Saudi Arabia, and in particular in the city of Riyadh. A number of policies were selected for the investigation, including three categories of policies: hospitality policies, education and raising awareness, and legislation policies. The participants expressed their opinions towards policies and programs that aim at improving sustainability and reducing food waste. Each policy was assessed in terms of its level of importance and its effectiveness in achieving sustainability. Two indices were calculated to compare and assess the perception of the suggested policies: the Perceived Effectiveness Index (PEI) and the Endorsement Index (EI). The results show that while some policies are perceived as both effective and supported for implementation, some policies are perceived as most effective; however, participants were not very supportive of their implementation. Hospitality policies, such as encouraging food waste recycling and providing the option to take away leftover food, were ranked highest in terms of effectiveness to achieve the target. These findings seem to echo the Saudi society’s attitudes of sustainable behaviour and positive attitudes towards food waste recycling. It should also be noted here that while the Saudi society is still a growing and developing society, it does care significantly about food waste and sustainability. The results are encouraging, and further investigations are urgently needed to better understand determinants of food waste at a household level in developing countries.

This paper presents an investigation factors that need to be considered in the design and selection of components for the conversion of a fleet of plug-in electric golf carts at Princess Nourah Bint Abdelrahman University, (PNU), Riyadh, Kingdom of Saudi Arabia (KSA), into solar power energy. Currently, the plug-in electric golf carts are powered by a set of deep-cycle lead-acid battery packs consisting of six units. Solar energy systems (photovoltaics and solar thermal) provide significant environmental benefits and opportunities over the traditional and conventional sources. Therefore, they can contribute positively to many aspects of the built environment and societies. There are many factors that affect the energy generated from the solar panel system. These include type and dimension of the solar panels, weight, speed, acceleration, and other characteristics of the used golf carts, and the energy efficiency of the solar energy system, as main factors that affect the green energy generated to operate the carts. The energy values needed to power the electric cart were calculated and optimized using traction energy calculation and optimized using a fuzzy logic analysis. The fuzzy logic system was developed to assess the impacts of varying dimensions of solar panel, vehicle speed, and weight on the energy generation. Initial calculations show that the replacement cost of the batteries can be up to approximately 75 percent of the operating cost. Together with the indirect cost benefits of achieving zero tail-pipe emission and the comfort of silent operation, the cost of operation using solar energy can be significant when compared with the cost of battery replacement. In order to achieve better efficiency, supercapacitors can be investigated to replace the conventional batteries. The use of fuzzy logic successfully facilitated the optimization of system operation conditions for best performance. In this study, fuzzy logic and calculated data were used as an optimization tool. Future work may be able to use fuzzy logic with experimental data to demonstrate feasibility of utilizing fuzzy logic systems to assess energy generation processes. Future investigations could also include investigation of other factors and methodologies, such as various types of batteries, supercapacitors, solar panels, and types of golf carts, together with different techniques of artificial intelligence to assess the optimum system specifications.

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Attitudes and feelings towards food waste and positions on management policies have been vastly increased over the past few decades. Most of the available research on the analysis of attitudes towards food waste have been carried out using conventional statistical methods. This paper aims to assess and analyse attitudes and preferences of young Saudi females towards a number of policies and plans that are designed to meeting sustainable targets, using fuzzy logic analysis. This is a very important aim, especially since Vision 2030 in Saudi Arabia puts a major emphasis on sustainability, setting many resources to tackle environmental problems and achieving better social standards. The Methodology includes designing and collecting data from 199 participants using a questionnaire that includes 23 questions. Data were obtained from students at Princess Nourah bint Abdulrahman University (PNU). The analysis includes utilising artificial intelligence (AI) techniques. Fuzzy logic analysis has been widely used in many fields, but has not seen many applications on food waste analysis and attitudes. Fuzzy logic analysis has the advantage of producing efficient results from smaller sample sizes and, in particular, with qualitative characteristics of the used indicators. The participants expressed positive preferences and attitudes towards the programs and policies that are designed to achieve sustainability and manage food waste. The results show that over 25% of them prefer the option of “storage for reuse” of food waste, over 35% prefer the option of distribute it to needed families and over 30% opted to the option of recycling to fertilisers. The study also reveals a very good level of awareness and appreciation of food waste and plans associated with it. The implications from this study suggest that despite the positive attitudes, there still is more research needed to obtain full understanding of attitudes towards food waste from the whole range of the population in order to gain knowledge and build specific programs to reduce food waste and achieve sustainability in the country.