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Purpose – This chapter provides details of research that attempts to relate traffic operational conditions on uninterrupted flow facilities (e.g., freeways and expressways) with real-time crash likelihood. Unlike incident detection, the purpose of this line of work is to proactively assess crash likelihood and potentially reduce the likelihood through proactive traffic management techniques, including variable speed limit and ramp metering among others.

Methodology – The chapter distinguishes between the traditional aggregate crash frequency-based approach to safety evaluation and the approach needed for real-time crash risk estimation. Key references from the literature are summarised in terms of the reported effect of different traffic characteristics that can be derived in near real-time, including average speed, temporal variation in speed, volume and lane-occupancy, on crash occurrence.

Findings – Traffic and weather parameters are among the real-time crash-contributing factors. Among the most significant traffic parameters is speed particularly in the form of coefficient of variation of speed.

Research implications – In the traffic safety field, traditional data sources are infrastructure-based traffic detection systems. In the future, if automatic traffic detection systems could provide reliable data at the vehicle level, new variables such as headway could be introduced. Transferability of real-time crash prediction models is also of interest. Also, the potential effects of different management strategies to reduce real-time crash risk could be evaluated in a simulation environment.

Practical implications – This line of research has been at the forefront of bringing data mining and other machine-learning techniques into the traffic management arena. We expect these analysis techniques to play a more important role in real-time traffic management, not just for safety evaluation but also for congestion pricing and alternate routing.

The purpose of this chapter is to propose a theory which may lead to a holistic description of the mechanism of touristic phenomena. In so doing, the central discussion is to provide descriptive answers to basic questions. It will not be a sociological or anthropological discourse. Instead, it will use perspectives from environmental psychology, genetics, and a theory of information energy in elementary particle physics. The study of tourism, though it is not a distinct disciplinary field, must provide a grand theory. In this chapter, the discussions mainly focus on the concept of tourist to provide several ideas to amend its definition, which may directly correspond to an overall view of touristic phenomena.

This chapter reviews recent developments in sustainability regarding cities of the world. Using the approach of a literature review, this chapter highlights sustainability innovations in the context of cities. The chapter identifies several indexes which assess quality of life (QOL) or prosperity in cities of the world. One web-based index which relies heavily on the inputs of citizens around the world is Numbeo. The literature review identifies ways cities have pursued climate change mitigation through encouragement of electrical vehicles and alternative modes of transportation. Innovations that have become controversial in cities are also identified. Analysis of Numbeo suggests this index shows promise of future value for researchers interested in city QOL—specifically its pollution perceptions index. As urbanization continues with more than half of the world's population now residing in cities, interest in the sustainability of cities will intensify. Sustainability indexes for cities are now being developed. Analysis of Numbeo's novel approach to gauging the pollution of cities through the reports of hundreds of thousands of individuals living around the world suggests that this approach holds promise for future development. While other disciplines have taken focus on city sustainability, this is the first study within the domain of marketing research to provide an overview of city sustainability for marketing researchers and to analyze a new way of measuring a component of city QOL—perceptions of city pollution. Results suggest that valuable results will likely be forthcoming as researches continue developing city sustainability measures and indexes in the future.