Differences in the performance of safety performance functions estimated for total crash count and for crash count by crash type

In recent years the development and use of crash prediction models for roadway safety analyses have received substantial attention. These models, also known as safety performance functions (SPFs), relate the expected crash frequency of roadway elements (intersections, road segments, on-ramps) to traffic volumes and other geometric and operational characteristics. A commonly practiced approach for applying intersection SPFs is to assume that crash types occur in fixed proportions (e.g., rear-end crashes make up 20% of crashes, angle crashes 35%, and so forth) and then apply these fixed proportions to crash totals to estimate crash frequencies by type. As demonstrated in this paper, such a practice makes questionable assumptions and results in considerable error in estimating crash proportions. Through the use of rudimentary SPFs based solely on the annual average daily traffic (AADT) of major and minor roads, the homogeneity-in-proportions assumption is shown not to hold across AADT, because crash proportions vary as a function of both major and minor road AADT. For example, with minor road AADT of 400 vehicles per day, the proportion of intersecting-direction crashes decreases from about 50% with 2,000 major road AADT to about 15% with 82,000 AADT. Same-direction crashes increase from about 15% to 55% for the same comparison. The homogeneity-in-proportions assumption should be abandoned, and crash type models should be used to predict crash frequency by crash type. SPFs that use additional geometric variables would only exacerbate the problem quantified here. Comparison of models for different crash types using additional geometric variables remains the subject of future research.

Damaged goods: riskiness and LGBT young peoples’ interactions with police

For some time now, research has suggested lesbian, gay, bisexual and transgender (LGBT) young people are ‘at-risk’ of victimisation and legally ‘risky’. Relatively few studies have examined how ‘risk factor’ research influences the everyday lives of LGBT young people. This paper reports how the experiences of police by 35 LGBT young people in Brisbane, Queensland reflected discourses about LGBT riskiness and how danger informed their interactions with police in public spaces. The participants specifically note how looking at-risk or looking risky affected their experiences of policing. The paper will conclude with recommendations for improved future policing practice.

Perspectives on the recruitment and retention of culturally and linguistically diverse police

Purpose: The aims of this paper are: to investigate the perceptions held by police (insiders) and community member (outsiders) of the recruitment and retention of culturally and linguistically diverse employees of Victoria Police; and, to develop a model that can assist in future recruitment and retention policy development.---------- Design/methodology/approach: Structured focus group interviews were conducted based on an instrument deduced from existing literature. Police and community members were interviewed separate cohorts. The discussions were thematically coded to themes and sub-themes.---------- Findings: Specific differences were identified in perceptions of the importance of recruiting culturally and linguistically diverse groups, barriers to recruitment, recruitment methods, and retention methods.---------- Research limitations/implications: Based on these perceptions, a propose a model addresses the importance of cultural diversity in policing and barriers to recruitment and retention of culturally and linguistically diverse employees. Further research is necessary to assess the broader applicability of this model.---------- Practical implications: The proposed model is may be used as the basis for future recruitment and retention activities, and human resource management policy development.---------- Originality/value: This is the first study in the Australian context of recruitment and retention of culturally and linguistically diverse police that addresses both community and police perspectives. Aligning the demographic profile of the police service with that of the community is beneficial to effective policing.

Queer cops in Queensland : exploring LGBT narrative histories in the Queensland Police Service

This chapter reports on a narrative project recording the experiences of LGBT former and current police officers in the Queensland Police Service (QPS), Australia. It begins by examining the historical and research contexts of LGBT police officers, followed by a discussion of the methodology employed for the project. The chapter then examines and analyzes key themes emerging from the data about coming out, macho police culture, and the double life syndrome often experienced by LGBT police officers. Finally, it suggests that further research might uncover a more widespread application of these findings.

Multiscale analysis of protein functions and stochastic modelling of gene transcriptional regulatory networks

Genomic and proteomic analyses have attracted a great deal of interests in biological research in recent years. Many methods have been applied to discover useful information contained in the enormous databases of genomic sequences and amino acid sequences. The results of these investigations inspire further research in biological fields in return. These biological sequences, which may be considered as multiscale sequences, have some specific features which need further efforts to characterise using more refined methods. This project aims to study some of these biological challenges with multiscale analysis methods and stochastic modelling approach. The first part of the thesis aims to cluster some unknown proteins, and classify their families as well as their structural classes. A development in proteomic analysis is concerned with the determination of protein functions. The first step in this development is to classify proteins and predict their families. This motives us to study some unknown proteins from specific families, and to cluster them into families and structural classes. We select a large number of proteins from the same families or superfamilies, and link them to simulate some unknown large proteins from these families. We use multifractal analysis and the wavelet method to capture the characteristics of these linked proteins. The simulation results show that the method is valid for the classification of large proteins. The second part of the thesis aims to explore the relationship of proteins based on a layered comparison with their components. Many methods are based on homology of proteins because the resemblance at the protein sequence level normally indicates the similarity of functions and structures. However, some proteins may have similar functions with low sequential identity. We consider protein sequences at detail level to investigate the problem of comparison of proteins. The comparison is based on the empirical mode decomposition (EMD), and protein sequences are detected with the intrinsic mode functions. A measure of similarity is introduced with a new cross-correlation formula. The similarity results show that the EMD is useful for detection of functional relationships of proteins. The third part of the thesis aims to investigate the transcriptional regulatory network of yeast cell cycle via stochastic differential equations. As the investigation of genome-wide gene expressions has become a focus in genomic analysis, researchers have tried to understand the mechanisms of the yeast genome for many years. How cells control gene expressions still needs further investigation. We use a stochastic differential equation to model the expression profile of a target gene. We modify the model with a Gaussian membership function. For each target gene, a transcriptional rate is obtained, and the estimated transcriptional rate is also calculated with the information from five possible transcriptional regulators. Some regulators of these target genes are verified with the related references. With these results, we construct a transcriptional regulatory network for the genes from the yeast Saccharomyces cerevisiae. The construction of transcriptional regulatory network is useful for detecting more mechanisms of the yeast cell cycle.

‘It’s not like we’re going to jump them’: how transgressing heteronormativity shapes police interactions with LGBT young people

This paper explores how visibly transgressing heteronormativity shapes police interactions with LGBT young people. While research evidences how sexually and gender diverse bodies can be abused in schools, policing is overlooked. Interviews with 35 LGBT young people demonstrate how bodies transgressing heteronormativity (that is, non-heteronormative bodies) mediate their policing experiences in Queensland, Australia. Drawing on Foucault, Butler, and others, the paper suggests police interactions and use of discretion with LGBT young people was informed by non-heteronormative bodies discursively performing queerness in ways read by police. The paper concludes noting tensions produced for youthful LGBT bodies in public spaces.

Design of experiments for bivariate binary responses modelled by Copula functions

Optimal design for generalized linear models has primarily focused on univariate data. Often experiments are performed that have multiple dependent responses described by regression type models, and it is of interest and of value to design the experiment for all these responses. This requires a multivariate distribution underlying a pre-chosen model for the data. Here, we consider the design of experiments for bivariate binary data which are dependent. We explore Copula functions which provide a rich and flexible class of structures to derive joint distributions for bivariate binary data. We present methods for deriving optimal experimental designs for dependent bivariate binary data using Copulas, and demonstrate that, by including the dependence between responses in the design process, more efficient parameter estimates are obtained than by the usual practice of simply designing for a single variable only. Further, we investigate the robustness of designs with respect to initial parameter estimates and Copula function, and also show the performance of compound criteria within this bivariate binary setting.

Explanations of police racism

This paper describes the development of a substantive theory about police racism as the most significant factor, from among a number of competing societal based explanations, in accounting for Aboriginal over-representation in police arrest rates.