Search results

To address the safety concerns generated by truck crashes occurred in big cities, this paper analyzes the zip code tabulation area (ZCTA)-based truck crash frequency across four temporal intervals – morning (6:00–10:00), mid-day (10:00–15:00), afternoon (15:00–19:00), and night (19:00–6:00) in New York City in 2010. A multivariate conditional autoregressive count model is used to recognize both spatial and temporal dependences. The results prove the presence of spatial and temporal dependencies for truck crashes that occurred in neighboring areas. Built environment attributes such as various types of business establishment density and traffic volume for different types of vehicles, which are important factors to consider for crashes occurred in an urban setting, are also examined in the study.

Geotechnologies have a long tradition in several areas of society and research. The recent development of the ‘Internet of Everything’ (IoE) and Geographic Information Systems (GIS) technologies opened several doors to the contribution of tourism. Emergent technologies contributions to tourism and planning such as web mapping, augmented reality (AR), crowdsourcing and crowdsensing are relatively recent, and there is a lack of research around their potential for Creative Tourism enhancement. For example, combining web mapping with AR or storytelling can be an excellent contribution to operators, planners and tourists. For research purposes, new opportunities are open, particularly by integrating community-shared data. It is well known for the popularity of social networks, the exponential growth of photo sharing, but few studies have been implemented to understand their contribution to research. This chapter focuses on emerging geotechnologies concerning cultural mapping, Creative Tourism and sustainability. Since it is a new growing niche, more research is needed to develop and understand the potential of new approaches. Besides traditional techniques such as quantitative (e.g. surveys) and qualitative ones (e.g. interviews, focus groups and world café), it revises the role of geotechnologies on Creative Tourism development and growing activities. Results from case studies from Europe are analysed.

Oil market VAR models have become the standard tool for understanding the evolution of the real price of oil and its impact on the macro economy. As this literature has expanded at a rapid pace, it has become increasingly difficult for mainstream economists to understand the differences between alternative oil market models, let alone the basis for the sometimes divergent conclusions reached in the literature. The purpose of this survey is to provide a guide to this literature. Our focus is on the econometric foundations of the analysis of oil market models with special attention to the identifying assumptions and methods of inference.

Segmented assimilation theory predicts that contemporary non-white groups follow three patterns of assimilation: mainstream, downward, or delayed. Yet, the homogenous treatment and primacy of ethnicity resigns all group members to a similar fate. Whereas few studies of ethnic incorporation consider both the classed and gendered nature of the labor market, this study investigates the extent to which intersectional group differences within the highly stratified American economy shape segmented assimilation trajectories.

This study introduces an intersectional approach to segmented assimilation theory. Using the 2000 census, this study examines how within group differences in skill and gender condition the hourly earnings, joblessness and self-employment participation outcomes of five ethnic minority groups from the first to the second generation, compared against US-born, non-Hispanic whites.

Findings generally support the mainstream assimilation hypothesis for all groups; a downward assimilation trajectory among Chinese men only; and a delayed assimilation trajectory for low-skilled Filipinas and high-skilled Cuban men and women. This study reveals that intra-group differences in skill and gender shape divergent segmented assimilation trajectories among members of the same ethnic group.

This study challenges the emphasis on and primacy of ethnicity in predicting segmented assimilation in favor of an intersectional approach that considers how multiple, interdependent, and intersecting dimensions of identity and not only ethnicity shape the process of economic incorporation among ethnic groups.

This chapter examines the increased levels of cross-asset price comovement and its relationship with the recent rounds of “extraordinary intervention” from the US Federal Reserve. The results show that, even after controlling for the preceding financial crisis, asset return volatility, investor risk perceptions, and channels of monetary stimulus, historically unrelated financial asset returns experienced abnormal changes in their conditional correlations. The strength of these cross-asset correlations is directly linked to periods of Federal Reserve interventions yet disappear when the interventions were (in fact or were perceived to be) withdrawn. Despite being studied extensively in the academic literature, no traditional intervention channels can explain the changes in cross-comovement. It is proposed that the Fed’s extraordinary stimulus caused investors to use Fed announcements as a common, low-cost information source on which they used to make common portfolio-allocation decisions. The changes in comovement during the intervention period may have reduced investor welfare for those with longer-horizon allocation strategies, those not prepared for the eventual ending of the stimulus, and for underfunded liability-optimizing portfolio managers (e.g., state pension funds).

Forces of globalization have driven international convergence in corporate governance and accounting considerably over the past few decades. Nevertheless, despite the global trend, convergence of corporate governance and financial reporting remains a subject of debate. This research monograph critically examines whether China’s convergence with Anglo-American corporate governance principles and the International Financial Reporting Standards (IFRS) is likely to produce the expected outcomes of improving the transparency and comparability of accounting information in Chinese firms. In this chapter, we discuss the motivation for and the significance of the study; describe the issues associated with the adoption of internationally acceptable standards and principles in China; explain the theoretical framework used to inform the study and research methodology; and present the aim and objectives of the monograph.

This paper aims to explore smart facilities services in the context of university campus by aiming to understand how the service development processes can be classified.

The qualitative study is based on literature review about smart facilities services and a case study about developing visualisation, data and smart service in one building in Finnish campus. The case study data were gathered by diverse methods and analysed by content analysis.

Three smart facilities service processes were identified: experience processes for users, data-based service processes and technology processes. All the processes require more than only technocratic approach.

Single case study without longitudinal data gathering is not strong in terms of generalisation.

The process classification can help different stakeholders to identify their role and tasks in smart facilities service development.

The research aims to understand how to develop smart services in addition to more investigated topic what the services include.