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This paper aims to explore the factors leading to the phenomenon of child trafficking in Egypt, how deeply it runs through the Egyptian society and evaluate the state’s efforts to combat it.

This research paper uses a case study method applied to the phenomenon of child trafficking in the Arab Republic of Egypt, and how the State is fighting it. The general policy approach is also used to clarify the State’s plans, programs and legislation in addressing the phenomenon of child trafficking, evaluate those policies and analyze the international documents.

The research paper concluded that child trafficking in Egypt represents a serious phenomenon, which stems from social, economic and cultural reasons. Even though the Egyptian Government exerts relentless efforts to fight this crime, all attempts have proven insufficient due to the lack of coordination between the concerned parties and low funds, in addition to the feeble services offered to the victims.

This study sheds light on a very perilous phenomenon in the Egyptian society; an international one with intricate magnitudes, upon which the State must concentrate more and eradicate it.

The study contributes to drawing the attention of decision makers in Egypt to the dangers of this phenomenon, and to the points of strength and weaknesses of the government’s efforts against it.

Reintegration programs have emerged as part of the regimes of care for survivors of human trafficking. However, empirical analysis of the reintegration outcomes for survivors remains limited in the African context. Hence, this paper aims to examine the challenges and opportunities of reintegration assistance programs for survivors of human trafficking in Nigeria.

Drawing on qualitative methods of data collection and analysis, this study conducted semi-structured interviews with repatriated women who have accessed reintegration assistance in Nigeria, and data was analyzed using thematic analysis.

The findings suggest that while the reintegration programs might address the procedural aspect of reintegration, the achievement of substantive reintegration remains incomplete. This is because of the structural conditions of the context within which reintegration is supposed to occur.

There is a need to take seriously the distinction between the reintegration of survivors into a new community or a former community in the design of a regime of care for survivors of human trafficking in Africa. Crucially, the focus on procedural reintegration should not also divert attention away from the structural conditions and reforms needed to ensure survivors achieve substantive reintegration.

This paper contributes to the limited literature on life after trafficking and demonstrates the strengths and limitations of reintegration programs as a regime of care for survivors of human trafficking. In addition, this study empirically grounded the theoretical distinction between different aspects of the process of reintegration.

This paper aims to present a cooperative adaptive cruise control, called stable smart driving model (SSDM), for connected and autonomous vehicles (CAVs) in mixed traffic streams with human-driven vehicles.

Considering the linear stability, SSDM is able to provide smooth deceleration and acceleration in the vehicle platoons with or without cut-in. Besides, the calibrated Virginia tech microscopic energy and emission model is applied in this study to investigate the impact of CAVs on the fuel consumption of the vehicle platoon and traffic flows. Under the cut-in condition, the SSDM outperforms ecological SDM and SDM in terms of stability considering different desired time headways. Moreover, single-lane vehicle dynamics are simulated for human-driven vehicles and CAVs.

The result shows that CAVs can reduce platoon-level fuel consumption. SSDM can save the platoon-level fuel consumption up to 15%, outperforming other existing control strategies. Considering the single-lane highway with merging, the higher market penetration of SSDM-equipped CAVs leads to less fuel consumption.

The proposed rule-based control method considered linear stability to generate smoother deceleration and acceleration curves. The research results can help to develop environmental-friendly control strategies and lay the foundation for the new methods.

Freeway work zones have been traffic bottlenecks that lead to a series of problems, including long travel time, high-speed variation, driver’s dissatisfaction and traffic congestion. This research aims to develop a collaborative component of connected and automated vehicles (CAVs) to alleviate negative effects caused by work zones.

The proposed cooperative component is incorporated in a cellular automata model to examine how and to what scale CAVs can help in improving traffic operations.

Simulation results show that, with the proposed component and penetration of CAVs, the average performances (travel time, safety and emission) can all be improved and the stochasticity of performances will be minimized too.

To the best of the authors’ knowledge, this is the first research that develops a cooperative mechanism of CAVs to improve work zone performance.

The purpose of this paper is to present data that begin to detail the deficiencies of log file analytics reporting methods that are commonly built into institutional repository (IR) platforms. The authors propose a new method for collecting and reporting IR item download metrics. This paper introduces a web service prototype that captures activity that current analytics methods are likely to either miss or over-report.

Data were extracted from DSpace Solr logs of an IR and were cross-referenced with Google Analytics and Google Search Console data to directly compare Citable Content Downloads recorded by each method.

This study provides evidence that log file analytics data appear to grossly over-report due to traffic from robots that are difficult to identify and screen. The study also introduces a proof-of-concept prototype that makes the research method easily accessible to IR managers who seek accurate counts of Citable Content Downloads.

The method described in this paper does not account for direct access to Citable Content Downloads that originate outside Google Search properties.

This paper proposes that IR managers adopt a new reporting framework that classifies IR page views and download activity into three categories that communicate metrics about user activity related to the research process. It also proposes that IR managers rely on a hybrid of existing Google Services to improve reporting of Citable Content Downloads and offers a prototype web service where IR managers can test results for their repositories.

This chapter explores sex work and compares legal regimes in two case study contexts of Scotland and New Zealand. It highlights parallels in policy norms and approaches towards women in sex work and women who use drugs, including stigmatisation and punishment of ‘deviant’ women or alternatively, approaches that seek to ‘rescue’ women and which frames them as victims. Different policy approaches and regulatory regimes are discussed but the chapter argues that without attention to social justice issues, the structural drivers of women’s engagement in sex work will continue to be overlooked. Participation in policy processes by those with lived experience is emphasised, both to ensure better understanding of sex work by policymakers, and also in recognition of the citizenship, voice and agency of sex workers.

In 2019, FIU-the Netherlands celebrated its 25th anniversary. This study takes the occasion to reflect on the role of the FIU in financial surveillance and to describe its core practices of collecting, analysing and disseminating financial intelligence.

Because FIU practices are often secret and its transaction data classified as state secrets, the FIU’s daily operational activities remain obscure. Drawing on interviews, public reports and an online training course, this study encircles secrecy and offers a fine-grained analysis of the FIU's core activities.

The article finds that the FIU plays a pivotal role in financial surveillance because it can operate at various intersections. An FIU operates at the intersection of finance and security, in between the public and private sector and at the national and international domain. This pivotal role makes the FIU indispensable in the surveillance of payment systems and spending behavior.

The article poses that the desirability and effectiveness of financial surveillance has to date not received sufficient consideration, while it affects (the privacy of) anyone with a bank account. The article asks: is it ethically justifiable that transaction information is declared suspect, investigated, and shared nationally and internationally, without the individual or entity concerned officially being notified and legally named a suspect?

This case-study is not only relevant for the study of finance/security, AML/CFT and financial surveillance, but also to policy makers and the broader public who merit an understanding of how their financial behaviour is being surveilled.

The purpose of this paper is to discuss the difficulty of measuring and monitoring of human trafficking within the context of the 2030 Agenda and its Sustainable Development Goals (SDGs). The challenges that come with monitoring an invisible crime such as human trafficking within the SDG context are due to the fact that the indicators pertaining to human trafficking fall into the category of “difficult to define and collect” type of data. This paper sheds light on these measuring difficulties and makes recommendations how to overcome them.

The methodology used is a policy analysis drawing on secondary literature and surveys and interviews with victims of human trafficking reported in publicly available documents. Comparative analysis also draws on laws and institutional agreements and treaties on human trafficking developed by governments, international organizations and regional organizations.

The different ways that have been proposed to collect and analyze data on trafficking victims highlight the complications of monitoring trafficking in both national and global contexts in situations where human rights violation and crime are situated at the nexus of the poverty, injustice, development and weak institutions. The paper brings to the attention of the international community that the current SDG indicators are inadequate for measuring human trafficking and need to be urgently improved.

This paper makes new contributions to the study of human trafficking in the context of the SDGs and proposes seven points of future action in order to create intersectoral linkages and better data collection in order to gain a fuller picture on human trafficking.

Human group behavior is the driving force behind many complex social and economic phenomena. Few studies have integrated multi-dimensional travel patterns and city interest points to construct urban security risk indicators. This paper combines traffic data and urban alarm data to analyze the safe travel characteristics of the urban population. The research results are helpful to explore the diversity of human group behavior, grasp the temporal and spatial laws and reveal regional security risks. It provides a reference for optimizing resource deployment and group intelligence analysis in emergency management.

Based on the dynamics index of group behavior, this paper mines the data of large shared bikes and ride-hailing in a big city of China. We integrate the urban interest points and travel dynamic characteristics, construct the urban traffic safety index based on alarm behavior and further calculate the urban safety index.

This study found significant differences in the travel power index among ride-sharing users. There is a positive correlation between user shared bike trips and the power-law bimodal phenomenon in the logarithmic coordinate system. It is closely related to the urban public security index.

Based on group-shared dynamic index integrated alarm, we innovatively constructed an urban public safety index and analyzed the correlation of travel alarm behavior. The research results fully reveal the internal mechanism of the group behavior safety index and provide a valuable supplement for the police intelligence analysis.

On-ramp merging areas are typical bottlenecks in the freeway network since merging on-ramp vehicles may cause intensive disturbances on the mainline traffic flow and lead to various negative impacts on traffic efficiency and safety. The connected and autonomous vehicles (CAVs), with their capabilities of real-time communication and precise motion control, hold a great potential to facilitate ramp merging operation through enhanced coordination strategies. This paper aims to present a comprehensive review of the existing ramp merging strategies leveraging CAVs, focusing on the latest trends and developments in the research field.

The review comprehensively covers 44 papers recently published in leading transportation journals. Based on the application context, control strategies are categorized into three categories: merging into sing-lane freeways with total CAVs, merging into sing-lane freeways with mixed traffic flows and merging into multilane freeways.

Relevant literature is reviewed regarding the required technologies, control decision level, applied methods and impacts on traffic performance. More importantly, the authors identify the existing research gaps and provide insightful discussions on the potential and promising directions for future research based on the review, which facilitates further advancement in this research topic.

Many strategies based on the communication and automation capabilities of CAVs have been developed over the past decades, devoted to facilitating the merging/lane-changing maneuvers at freeway on-ramps. Despite the significant progress made, an up-to-date review covering these latest developments is missing to the authors’ best knowledge. This paper conducts a thorough review of the cooperation/coordination strategies that facilitate freeway on-ramp merging using CAVs, focusing on the latest developments in this field. Based on the review, the authors identify the existing research gaps in CAV ramp merging and discuss the potential and promising future research directions to address the gaps.