With the recent fast economy development and rapid urbanization, the huge generation of construction waste has become a threat to sustainable development in China. Though efforts have been made to promote reuse and recycling of construction waste, landfilling of waste remains the most commonly adapted approach for construction waste disposal. As the space for landfills is limited and because of the negative issues in terms of environmental and social aspects that may be caused, the appropriate site selection of landfills is crucial. With this background, this paper aims to establish a framework for facilitating landfill selection for construction waste. To begin with, a total of sixteen factors that may influence landfill site selection were identified from a literature review. Then, based on the combined analytic hierarchy process (AHP) and entropy method, the weights and the final comprehensive scores of the identified factors were calculated. According to the derived results, potential sites for landfills were divided into three levels, namely the most appropriate (0.38%), appropriate (17.58%), and inappropriate (82.04%). The proposed decision-making methods in this paper can provide a valuable reference for the selection of construction waste landfill sites.

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One of the key aspects in the design of Advanced Traveler Information Systems (ATIS) is to make certain that the system can provide the type of information travelers want. In order to analyze the impact of individual characteristics on traveler's information needs and reveal travelers' preferences in different situation, this paper present a structural equation model of traveler information needs, which uses the path analysis and is flexible enough to model and test the process of traffic information use. At first, the paper analyzes the shortcoming of previous researches. Then the basic idea of the methodology applied in the research project is introduced and the structural equation model of traveler information needs is presented. Finally, the detailed process of data collection and the modification and application of the model is discussed. Keywords-structural equation modeling; advanced traveler information systems; information needs; latent variable; maximum likelihood method I.INTRODUCTION In today's modern society, accurate and reliable traffic information can help travelers reach their destinations quickly and safely. To serve this information need, Advanced Traveler Information Systems (ATIS) that assists travelers with pre-trip and enroute travel information has becoming more important.Research on traveler information technologies dates back to the 1950s and has evolved over 50 years as part of greater efforts in creating urban traffic information systems.Although technology has advanced greatly in the field of traffic surveillance, real-time information dissemination and traffic information system designing, the aim of ATIS is still the same, namely, providing the travelers with information and services that meet their specific needs.A number of studies have evaluated the service provided by ATIS under the assumption that the information supplied to drivers would be effective. However, lack of information that can meet travelers needs can lead to service that is less than useful to the ATIS user.One of the key aspects in the design of ATIS is to make certain that the system can provide the type of information travelers want.There has been an abundance of studies attempting to understand travelers' information needs and the possible role that ATIS could play in fulfilling these needs. Barfield et al. (1990) suggested that the design of ATIS should be based on information requirements obtained directly from the end users of the system.

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