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A sustainable transport strategies for Tabuk City in the Saudi Arabia has been developed using the Analytical Hierarchy Process (AHP) using travel data collected from Tabuk City. A number of transport policies and strategies have been tested for inclusion in the developed system. The top five strategies which were ranked highest amongst these by the respondents are policies that are targeting: clean environment, altering travel behaviour, shifting to more sustainable modes of transport, charging motorists for entering the city centre and charging motorists to enter the city if the revenue raised was spent on tackling environmental pollution caused by transport. The population have been classified according to gender, age, income and family structure groups. The strategy of promoting clean environment policies were high priority while for example, charging motorists to enter the city if the revenue raised was spent on tackling environmental pollution policies were not popular for any group. Priority ranking of transport sustainability at preand post-implementation stages of the transportation measure are important to provide recommendations for implementation. The strength of this approach is mainly in its ability to perform decision making under limited, heterogeneous data coming from multiple stakeholders which is presented in terms of different types of user group in our case study. This research can be further enhanced by testing further population groups and increasing the sample size. [ABSTRACT FROM PUBLISHER]

Travel behaviour research indicates that travel decisions are usually influenced by accessibility as well as characteristics of the transport systems. Factors such as travel times, travel costs, waiting times, walking times have the most significant contributions in mode choice and travel decisions. In the case of developing countries however, the most influencing factors for travel behaviour and decisions are the social factors. This is very important for transport modellers and decision makers to realise in order to achieve appropriate design and implementations of various transport policies. The influence of social and economic factors on travel behaviour are discussed and investigated in this paper. In Saudi Arabia, a randomly selected sample of 1220 households was interviewed in the Tabuk city of the Saudi Arabia and data on their socio-economic and trip-making behaviour was obtained. The relative impact of socioeconomic variables on household travel behaviour was discussed and discrete choice models were calibrated. These types of studies can be useful in the development of plans, programs and policies for the improvement of transportation systems in urban areas of the Saudi Arabia and other similar countries in the region. The findings show that the social factors have the most important impact on travel behaviour in Saudi Arabia. [ABSTRACT FROM AUTHOR]

Abstract: There is a large amount of research work that has been devoted to the understanding of travel behaviour and for the prediction of travel demand and its management. Different types of data including stated preference and revealed preference, as well as different modelling approaches have been used to predict this. Essential to most travel demand forecasting models are the concepts of utility maximisation and equilibrium, although there have been alternative approaches for modelling travel behaviour. In this paper, the concept of asymmetric churn is discussed. That is travel behaviour should be considered as a two way process which changes over time. For example over time some travellers change their mode of travel from car to bus, but more travellers change their mode from bus to car. These changes are not equal and result in a net change in aggregate travel behaviour. Transport planners often aim at producing this effect in the opposite direction. It is important therefore to recognise the existence of churns in travel behaviour and to attempt to develop appropriate policies to target different groups of travellers with the relevant transport policies in order to improve the transport system. A data set collected from a recent large survey, which was carried out in Edinburgh is investigated to analyse the variations in departure time choice behaviour. The paper reports on the results of the investigation. [Copyright &y& Elsevier]

Abstract: In this paper, the preferences for the allocation of revenues from a road-user charging scheme are investigated and modelled, from the point of view of three users'' groups; car users, public transport users and cyclists and walkers. The data was collected as part of a larger survey to investigate the consequences of road-user charging in the city of Edinburgh. Respondents were asked to indicate their level of agreement for a number of revenue allocation spending options. On the whole there has been overall agreement on spending the revenues on improving public transport services. Spending preferences were also modelled to allow for a number of policy scenarios to be developed for the allocation of revenues. The result of the analysis suggests that the preferences of spending within public transport are real-time information, reliability, integrated ticketing, fare reductions and network coverage. [Copyright &y& Elsevier]