Informal transportation services are often associated with safety risks, as the use of old vehicles in poor condition does not guarantee and comfort users. Currently, existing public Kota Kinabalu cover entire city area, which has led to existence informal mode, namely unpermitted busses meet users’ demand. The purpose this study was assess user acceptance bus Kinabalu, Sabah. A survey done usi...

The low carbon development is the important trend of Chinese urbanism, and the gap between transportation infrastructure resource and travel demand induces to the transportation problems, such as congestion, energy, and safety. There is a missing connection with the Demand-Oriented Planning and Low-Carbon-Oriented Planning, since most of our discussion in the Urban Comprehensive Planning Procee...

This paper uses simple game theory to analyze a situation where two agents compete in the transport market. The modeling frame is that of a mode choice model, where the two mode options are boat or car transportation. The basic findings are that non pareto optimal (car, car) equilibrium outcomes, may occur in a surprisingly large amount of cases. Additionally, the possible different Nash equili...

Energy shortage and atmospheric pollution problems are getting more serious in China, and transportation is the main source of energy consumption, pollutants, and carbon emissions. This study combined the activity-based analysis method with emission models, and investigated the influence mechanism of people’s activity travel scheduling on transportation energy consumption and emissions on holid...

The transportation sector is a complex system. Collecting transportation activity and the associated emissions data is extremely expensive and time-consuming. Grey Relational Analysis provides a viable alternative to overcome data insufficiency and gives insights for decision makers into such a complex system. In this paper, we achieved three major goals: (i) we explored the inter-relationships...

This paper introduces a hierarchical Markov model that can learn and infer a user’s daily movements through an urban community. The model uses multiple levels of abstraction in order to bridge the gap between raw GPS sensor measurements and high level information such as a user’s destination and mode of transportation. To achieve efficient inference, we apply Rao-Blackwellized particle filters ...