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This article explores the growing rise of behaviour‐based safety programmes in the workplace as a means of preventing on‐the‐job injuries. In it, the authors delve into the history of both incentive‐based and behaviour based safety programmes, exploring the administrative, political, and practical issues involved with each. The authors then present an analysis of a survey conducted of over a hundred practicing safety executives in the United States. While no significant differences were found between survey respondents based on the size or nature of their organisation, the authors did find that tenure on the job was positively correlated with increased receptiveness to the efficacy of behaviour‐based programmes. In the end, it was concluded that success with both behaviour‐based and incentive‐based safety efforts are dependent on top management’s support of such efforts, both through personal involvement and example setting and through provision of the necessary organisational resources to promote workplace safety.

Air carriers and aircraft manufacturers are investing in technologies and strategies to reduce fuel consumption and associated emissions. This chapter reviews related issues to assess airline fuel efficiency and offers various empirical evidences from our recent work that focuses on the U.S. domestic passenger air transportation system. We begin with a general presentation of four methods (ratio-based, deterministic frontier, stochastic frontier, and data envelopment analysis) and three perspectives for assessing airline fuel efficiencies, the latter covering consideration of only mainline carrier operations, mainline–subsidiary relations, and airline routing circuity. Airline fuel efficiency results in the short run, in particular the correlations of the results from using different methods and considering different perspectives, are discussed. For the long-term efficiency, we present the development of a stochastic frontier model to investigate individual airline fuel efficiency and system overall evolution between 1990 and 2012. Insight about the association of fuel efficiency with market entry, exit, and airline mergers is also obtained.

In 1985, I was moving along a more or less definable disciplinary path, writing qualitative sociology guided by my understanding of leading symbolic interactionist texts, productively disturbed by affection for Harold Garfinkel's ethnomethodology. Although there were prior lines of influence, my writing then was focused especially on various “social constructionist” projects, first with Peter Conrad (Conrad & Schneider, 1992 [1980]; Schneider & Conrad, 1983) and then with Malcolm Spector and John Kitsuse (Kitsuse & Schneider, 1984, 1989). I also read closely and had many conversations with Anselm Strauss about how to do what he and Barney Glaser called “grounded theory” and with Howard Becker about “doing sociology.” Not only did I feel that I was getting better at doing ethnography or field work and “writing it up,” as we put it in Sociology, I felt I was engaged in an epistemologically superior practice relative to the more quantitative and structurally oriented work that was then and still is defined as “mainstream” (a land from which I had emigrated, gradually, after the Ph.D.).

The purpose of this study is to develop a spatio-temporal neighbourhood-level house price index (STNL-HPI) incorporating a geographic information system (GIS) functionality that can be used to improve the house price indexation system.

By using the Malaysian house price index (MHPI) and application of geographically weighted regression (GWR), GIS-based analysis of STNL-HPI through an application called LHPI Viewer v.1.0.0, the stand-alone GIS-statistical application for STNL-HPI was successfully developed in this study.

The overall results have shown that the modelling and GIS application were able to help users understand the visual variation of house prices across a particular neighbourhood.

This research was only able to acquire data from the federal government over the period 1999 to 2006 because of budget limitations. Data purchase was extremely costly. Because of financial constraints, data with lower levels of accuracy have been obtained from other sources. As a consequence, a major portion of data was mismatched because of the absence of a common parcel identifier, which also affected the comparison of this system to other comparable systems.

Neighbourhood-level HPI is needed for a better understanding of the local housing market.