Investigative relevance

Criminal profiling is one tool available to investigative agencies that may assist in narrowing suspect pools, linking crimes, providing relevant leads and new investigative strategies, and keeping the overall investigation on track (Turvey, 2008). However, like a flashlight in a darkened room, profiling may not always provide valuable assistance if it shines in the wrong direction or fails to shine at all. In a perfect world, profiles are intended to provide investigators with a set of refined characteristics of the offender for a crime or a crime series that will assist their efforts. In contrast, it could be argued that profiles are not intended to provide information that may be irrelevant, unclear, confusing, or distracting to these efforts. Any information provided within the profile that does not assist in narrowing suspect pools or providing new avenues of inquiry is left open to misinterpretation and is therefore potentially damaging (Turvey, 2008). The degree to which information provided in a profile can actually be utilized by investigators to meet their goals is known as investigative relevance...

Criminal profiling : behavioural consistency, the homology assumption and case linkage

Criminal profiling is an investigative tool used around the world to infer the personality and behavioural characteristics of an offender based on their crime. Case linkage, the process of determining discreet connections between crimes of the same offender, is a practice that falls under the general banner of criminal profiling and has been widely criticized. Two theories, behavioural consistency and the homology assumption, are examined and their impact on profiling in general and case linkage specifically is discussed...

Modelling the BRT station capacity and queuing for all stopping busway operation

Stations on Bus Rapid Transit (BRT) lines ordinarily control line capacity because they act as bottlenecks. At stations with passing lanes, congestion may occur when buses maneuvering into and out of the platform stopping lane interfere with bus flow, or when a queue of buses forms upstream of the station blocking inflow. We contend that, as bus inflow to the station area approaches capacity, queuing will become excessive in a manner similar to operation of a minor movement on an unsignalized intersection. This analogy was used to treat BRT station operation and to analyze the relationship between station queuing and capacity. We conducted microscopic simulation to study and analyze operating characteristics of the station under near steady state conditions through output variables of capacity, degree of saturation and queuing. In the first of two stages, a mathematical model was developed for all stopping buses potential capacity with bus to bus interference and the model was validated. Secondly, a mathematical model was developed to estimate the relationship between average queue and degree of saturation and calibrated for a specified range of controlled scenarios of mean and coefficient of variation of dwell time.

Shortest path and vehicle trajectory aided map-matching for low frequency GPS data

Map-matching algorithms that utilise road segment connectivity along with other data (i.e.position, speed and heading) in the process of map-matching are normally suitable for high frequency (1 Hz or higher) positioning data from GPS. While applying such map-matching algorithms to low frequency data (such as data from a fleet of private cars, buses or light duty vehicles or smartphones), the performance of these algorithms reduces to in the region of 70% in terms of correct link identification, especially in urban and sub-urban road networks. This level of performance may be insufficient for some real-time Intelligent Transport System (ITS) applications and services such as estimating link travel time and speed from low frequency GPS data. Therefore, this paper develops a new weight-based shortest path and vehicle trajectory aided map-matching (stMM) algorithm that enhances the map-matching of low frequency positioning data on a road map. The well-known A* search algorithm is employed to derive the shortest path between two points while taking into account both link connectivity and turn restrictions at junctions. In the developed stMM algorithm, two additional weights related to the shortest path and vehicle trajectory are considered: one shortest path-based weight is related to the distance along the shortest path and the distance along the vehicle trajectory, while the other is associated with the heading difference of the vehicle trajectory. The developed stMM algorithm is tested using a series of real-world datasets of varying frequencies (i.e. 1 s, 5 s, 30 s, 60 s sampling intervals). A high-accuracy integrated navigation system (a high-grade inertial navigation system and a carrier-phase GPS receiver) is used to measure the accuracy of the developed algorithm. The results suggest that the algorithm identifies 98.9% of the links correctly for every 30 s GPS data. Omitting the information from the shortest path and vehicle trajectory, the accuracy of the algorithm reduces to about 73% in terms of correct link identification. The algorithm can process on average 50 positioning fixes per second making it suitable for real-time ITS applications and services.

Size-resolved particle distribution and gaseous concentrations by real-world road tunnel measurement

Measurements of aerosol particle number size distributions (15-700 nm), CO and NOx were performed in a bus tunnel, Australia. Daily mean particle size distributions of mixed diesel/CNG (Compressed Natural Gas) buses traffic flow were determined in 4 consecutive measurement days. EFs (Emission Factors) of Particle size distribution of diesel buses and CNG buses were obtained by MLR (Multiple Linear Regression) methods, particle distributions of diesel buses and CNG buses were observed as single accumulation mode and nuclei-mode separately. Particle size distributions of mixed traffic flow were decomposed by two log-normal fitting curves for each 30 minutes interval mean scans, all the mix fleet PSD emission can be well fitted by the summation of two log-normal distribution curves, and these were composed of nuclei mode curve and accumulation curve, which were affirmed as the CNG buses and diesel buses PN emission curves respectively. Finally, particle size distributions of diesel buses and CNG buses were quantified by statistical whisker-box charts. For log-normal particle size distribution of diesel buses, accumulation mode diameters were 74.5～87.5nm, geometric standard deviations were 1.89～1.98. As to log-normal particle size distribution of CNG buses, nuclei-mode diameters were 21～24 nm, geometric standard deviations were 1.27～1.31.

Outlaw motorcycle gangs: A theoretical perspective

Outlaw Motorcycle Gangs are increasingly seen as a threat to communities around the world. They are a visible threat as a recognizable symbol of deviance and violence. This book discusses the social context within which Outlaw Motorcycle Gangs and groups have emerged and the implication of labelling these groups as deviant and outlaw. There is no doubt that members of these clubs have been involved in serious criminal activity and this book explores whether gang and organised crime theory can effectively explain their criminal activities. Importantly, the book also assesses policing and political responses to the clubs' activities. It argues that there is an increasing need for national and international cooperation on the part of law enforcement agencies with various levels of government as well as the private sector. Importantly, the book offers suggestions for the best responses to the crimes committed by members of Outlaw Motorcycle Gangs.

Environmental crime, human rights and green criminology

This chapter is concerned with the prospects for a safe and sustainable environment in a fair and just world. At present, these prospects look bleak. However there are a number of legal developments and ethical principles on which to build, including the European Convention on the Protection of the Environment through Criminal Law, notions of environmental, ecological and species justice, and conceptions of human rights. The chapter considers these in five sections: first providing an overview and exploring the links between human rights and environmental issues; then examining examples of environmental crimes / harms and attempts to regulate or criminalise these; before outlining the development of a Green Criminology and proposals for an international law against ecocide as a framework for addressing this range of challenges. Finally, concluding comments draw attention to debates and directions for discussion and research.

Environmental Crime and Specialist Courts: The case for a ‘One-Stop (Judicial) Shop’ in Queensland

The increasing international political, public and scientific engagement in matters of environmental sustainability and development has produced a rapidly expanding body of environmental law and policy. The advent of international protocols, directives, and multilateral agreements has occurred concomitantly with the harmonisation of widespread environmental regimes of governance and enforcement within numerous domestic settings. This has created an unprecedented need for environmental legal apparatuses to manage, regulate and adjudicate legislation seeking to protect, sustain and develop global natural habitats. The evolving literature in green criminology continues to explore these developments within discourses of power, harm and justice. Such critiques have emphasised the role of dedicated environmental courts to address environmental crimes and injustices. In this article, we examine the important role of specialist courts in responding to environmental crime, with specific reference to the State of Queensland. We offer a critique of existing processes and practices for the adjudication of environmental crime and propose new jurisdictional and procedural approaches for enhancing justice. We conclude that specialist environmental courts endowed with broad civil and criminal jurisdiction are an integral part of an effective response to environmental crime.

R2P ten years after the World Summit: Explaining ongoing contestation over Pillar III

This article examines how and why contrasting interpretations of the international community’s role in preventing and responding to mass atrocity crimes continue to exist a decade after the Responsibility to Protect (R2P) was unanimously endorsed at the 2005 World Summit. Building on recent critical constructivist insights into the fluid, dynamic nature of norms, it advances two main arguments. The first is that continuing contestation over R2P’s third pillar is a product of a combination of internal and external sources of norm dynamism. R2P’s inherently complex normative structure, coupled with several external factors, including the broader normative environment, norm implementation experiences and a shift in global power towards the BRICS, have contributed to a period of renewed contestation and triggered attempts to re-formulate R2P thorough Brazil’s ‘Responsibility while Protecting’ (RwP) proposal and China’s semi-official ‘Responsible Protection’ concept. The second central argument is that such contestation is affecting R2P’s distinct normative prescriptions in different ways. While resistance to the implementation of coercive pillar III measures is currently impeding the normative progress of that component of the norm, this contestation has not prevented consensual pillar II assistance from becoming more deeply embedded in international practice and discourse.

Adverse weather effects on bus ridership

This study focuses on the effects of weather on daily bus ridership in Brisbane, given the dominance of buses in that city. The weather pattern of Brisbane varies by season according to its subtropical climate characteristics. Bus operation is affected by inclement weather conditions, as buses share the road system with general traffic. Moreover, bus stops generally offer little, or sometimes no, protection from adverse weather. Hence, adverse weather conditions such as rain are thought to directly impact on daily travel behaviour patterns. There has been limited Australian research on the impact of weather on daily transit ridership. This study investigates the relationship between rainy days and daily bus ridership for the period 2010 to 2012. Overall, rainfall has a negative effect, with varying impacts on different transit groups. However, this analysis confirmed a positive relationship between consecutive rainy days (rain continuing for 3 or more days). A possible explanation could be that people switch their transport mode to bus to avoid high traffic congestion and higher accident potentiality on rainy days. Also, Brisbane’s segregated busway corridor works favourably towards this mode choice. The findings of our study enhance the fundamental understanding of traveller behaviour, particularly mode-choice behaviour, under adverse weather conditions.

Boiler room scams destroy lives yet police blame victims

The Queensland Organised Crime Commission of Inquiry recently handed down its findings examining how organised crime has been policed in recent years. While media attention has been focused on the implications for child sexual exploitation and paedophilia, the report also made some substantial findings related to financial crimes such as investment fraud (commonly known as boiler rooms scams). Quite disturbingly, the report notes a strong victim blaming mentality that police expressed towards individuals who invested in fraudulent companies and who subsequently lost money in these boiler room scams. The attitude of the police towards boiler room victims was largely one of apathy towards the likelihood of any investigation, and of blame towards victims for not doing what was perceived to be “due diligence”. This finding illustrates several myths which are argued to exist around investment fraud victims, particularly around the concept of “due diligence”. It also feeds into the idea that victims are greedy/naïve and financially illiterate/not investment savvy. These are both problematic and largely inaccurate. Drawing on examples from my own research with fraud victims, the article will illustrate the complexity and sophistication of many boiler room schemes and demonstrate the difficulties in identifying fraudulent investment opportunities.

Addressing the offending-related needs of non-violent Indigenous offenders

This report examines publically-available research literature from North America, Australia and New Zealand on the effectiveness of measures that aim to reduce non-violent offending by Indigenous people. It identifies culturally safe and relevant principles for the design and implementation of measures that have been found to be promising in terms of reducing this category of offending. These principles are important for policy-makers and practitioners to understand, given that many Indigenous people come into contact with the criminal justice system in relation to non-violent offences such as public order and driving offences. The principles set out in the report include: incorporating Indigenous culture, family and community into treatment programs; combining Indigenous approaches with effective Western treatment models such as Cognitive Behavioural Therapy; and addressing the substance abuse, trauma, and historical and social context often associated with offending by Indigenous people. In addition to promoting these principles, the report provides an overview of Indigenous people’s contact with the criminal justice system in relation to non-violent crimes, as well as a discussion of specific programs that have been used with this group of offenders.

Evaluate traffic noise level based on traffic microsimulation combined with a refined classic noise prediction method

In this paper, a refined classic noise prediction method based on the VISSIM and FHWA noise prediction model is formulated to analyze the sound level contributed by traffic on the Nanjing Lukou airport connecting freeway before and after widening. The aim of this research is to (i) assess the traffic noise impact on the Nanjing University of Aeronautics and Astronautics (NUAA) campus before and after freeway widening, (ii) compare the prediction results with field data to test the accuracy of this method, (iii) analyze the relationship between traffic characteristics and sound level. The results indicate that the mean difference between model predictions and field measurements is acceptable. The traffic composition impact study indicates that buses (including mid-sized trucks) and heavy goods vehicles contribute a significant proportion of total noise power despite their low traffic volume. In addition, speed analysis offers an explanation for the minor differences in noise level across time periods. Future work will aim at reducing model error, by focusing on noise barrier analysis using the FEM/BEM method and modifying the vehicle noise emission equation by conducting field experimentation.

Measuring route passenger load diversity for capacity and quality of service assessment

This paper develops theory that quantifies transit route passenger-relative load factor and distinguishes it from occupancy load factor. The ratio between these measures is defined as the load diversity coefficient, which as a single measure characterizes the diversity of passenger load factor between route segments according to the origin-destination profile. The relationship between load diversity coefficient and route coefficient of variation in occupancy load factor is quantified. Two tables are provided that enhance passenger capacity and quality of service (QoS) assessment regarding onboard passenger load. The first expresses the transit operator’s perspective of load diversity and the passengers’ perspective of load factor relative to the operator’s, across six service levels corresponding to ranges of coefficient of variation in occupancy load factor. The second interprets the relationships between passenger average travel time and each of passenger-relative load factor and occupancy load factor. The application of this methodology is illustrated using a case study of a premium radial bus route in Brisbane, Australia. The methodology can assist in benchmarking and decision making regarding route and schedule design. Future research will apply value of time to QoS measurement, reflecting perceived passenger comfort through crowding and average time spent aboard. This would also assist in transit service quality econometric modeling.