Assessing Electoral Process Challenges Through Poll Workers\u27 Performance in Sub-Saharan Africa-Togo

Contenders disputing electoral results in Sub-Saharan African countries often attribute defects in presidential electoral processes to the implementation of rules and procedures. Yet despite the considerable decision-making authority poll workers are entrusted with and the significance of the tasks performed by therm, scholars have not closely investigated poll workers\u27contributions to elections\u27 management in Sub-Saharan Africa. Using principal-agent theory as the foundation, the purpose of this case study was to examine the challenges encountered in the organization of the presidential election in Togo, held on April 25, 2015, with a particular emphasis on poll workers\u27 job performance. Research questions focused on whether poll workers in Togo have the ability and the resources necessary to carry out quality elections and the perceived effects of poll workers\u27 performance on the integrity of the presidential electoral process. Data were obtained from interviews with 11 purposely selected poll workers and review of social media audio and video records of the election. These data were inductively coded and subjected to thematic analysis. A key finding was that deficiencies in poll workers\u27 performance reflect a complex interplay of ill-conceived legal framework, lack of infrastructure, poor training, personal ineptitude, underfunding, partisanship, and tribalism. Further findings indicated that poll workers performing poorly resulted in long lines of voters, voter suppression, inaccuracies in vote counts, and delay in results announcement. Implications for positive social change include election practitionners\u27 increased awareness that improving the quality of service delivery to voters on election day may foster confidence in and legitimacy of election results, seen as prerequisite to peaceful presidential elections in this part of the world

Internet voting in Estonia 2005–2019: Evidence from eleven elections

Internet voting is a highly contested topic in electoral studies. This article examines Internet voting in Estonia over 15 years and 11 nation-wide elections. It focuses on the following questions: How is Internet voting organized and used in Estonia? How have the Estonian Internet voting system and its usage evolved over time? What are the preconditions and consequences of large-scale deployment of Internet voting? The results suggest that the rapid uptake and burgeoning usage rates reflect the system's embeddedness in a highly developed digital state and society. Through continuous technological and legal innovation and development, Estonia has built an advanced Internet voting system that complies with normative standards for democratic elections and is widely trusted and used by the voters. Internet voting has not boosted turnout in a setting where voting was already easily accessible. Neither has it created digital divides: Internet voting in Estonia has diffused to the extent that socio-demographic characteristics no longer predict usage. This, combined with massive uptake, reduces incentives for political parties to politicize the novel voting mode

Fracking and Goldilocks Federalism: the too loud, too quiet and just right politics of states and cities

2015 Spring.Includes bibliographical references.Wicked environmental and energy challenges often originate where energy, the environment and economics intersect (Rittel and Webber 1973). Fracking is one such example. As a practice, it has prompted a certain amount of political debate at both the state and municipal levels. Proponents argue that natural gas extraction creates well-paying jobs, helps grow and revive stagnant economies and that it provides a 'cleaner' burning energy source. Its opponents counter that the technique produces a number of environmental harms such as air pollution, surface and groundwater contamination, places new demands on infrastructure and causes geological instability (Davis 2012). Ranging from intergovernmental battles to cooperative relationships, the politics of fracking are reshaping the relations between neighborhoods, city hall and the statehouse. To explore the 'second order' dynamics of fracking, this dissertation asks several interrelated questions. What are the state and local institutions, rules and informal norms governing state-municipal relationships when it comes to hydraulic fracturing? To what extent do municipalities regulate fracking and what are the types of city-level regulation? Finally, why are some cities willing to pass land use policies that challenge their state's natural gas extraction goals and preemptive authority and others are not? To answer the questions above, I consider the second order dynamics in the context of Colorado, Texas and Ohio and a sample of cities in each state. Each state has a high number of citizens living near gas wells, but offers cities and towns varying degrees of land use authority. To elucidate their second-order relationships and dynamics, each chapter tests potential explanatory variables originating from studies of environmental policy, democratic theory and urban governance. Results suggest that both macro level (environmentalism and mobilization) and micro level concerns (percentage of owner occupied homes and median home values) can affect second order relations and the willingness of local communities to exert more municipal autonomy and challenge their state. My findings offer a more complete picture of second order federalism and strengthen the scholarly and applied understanding of two key American political institutions

A literature review of Artificial Intelligence applications in railway systems

Nowadays it is widely accepted that Artificial Intelligence (AI) is significantly influencing a large number of domains, including railways. In this paper, we present a systematic literature review of the current state-of-the-art of AI in railway transport. In particular, we analysed and discussed papers from a holistic railway perspective, covering sub-domains such as maintenance and inspection, planning and management, safety and security, autonomous driving and control, revenue management, transport policy, and passenger mobility. This review makes an initial step towards shaping the role of AI in future railways and provides a summary of the current focuses of AI research connected to rail transport. We reviewed about 139 scientific papers covering the period from 2010 to December 2020. We found that the major research efforts have been put in AI for rail maintenance and inspection, while very limited or no research has been found on AI for rail transport policy and revenue management. The remaining sub-domains received mild to moderate attention. AI applications are promising and tend to act as a game-changer in tackling multiple railway challenges. However, at the moment, AI research in railways is still mostly at its early stages. Future research can be expected towards developing advanced combined AI applications (e.g. with optimization), using AI in decision making, dealing with uncertainty and tackling newly rising cybersecurity challenges

Multi-agent Near Real-Time Simulation of Light Train Network Energy Sustainability Analysis

As an attractive transportation mode, rail transit consumes a lot of energy while transporting a large number of passengers annually. Most energy-aimed research in rail transit focuses on optimizing the train timetable and speed trajectory offline. However, some disturbances during travel will cause the train to fail to follow the offline optimized control strategy, thus invalids the offline optimization. In the typical rail transit control framework, the moving authority of trains is calculated by the zone controller based on the moving/fixed block system in the zone. The zone controller is used to ensure safety when the travel plan of trains changes due to disturbance. Safety is guaranteed during the process, but the change of travel plan leads to extra energy costs. The energy-aimed optimization problem in rail transit requires ensuring safety, pursuing punctuality with considering track slope, travel comfort, energy transferring efficiency, and speed limit, etc. The complex constraints lead to high computational pressure. Therefore, it is difficult for the regional controller to re-optimize the travel plan for all affected trains in near real-time. Multi-agent systems are widely used in many other fields, which show decent performance in solving complex problems by coordinating multiple agents. This study proposes a multi-agent system with multiple optimization algorithms to realize energy-aimed re-optimization in rail transit under different disturbances. The system includes three types of agents, train agents, station agents and central agents. Each agent exchanges information by following the time trigger mechanism (periodically) and the event trigger mechanism (occasionally). Trigger mechanism ensures that affected agents receive necessary information when interference occurs, and their embedded algorithms can achieve necessary optimization. Four types of cases 5 / 128 are tested, and each case has plenty of scenarios. The tested results show that the proposed system provides encouraging performance on energy savings and computational speed

Research on the System Safety Management in Urban Railway

Nowadays, rail transport has become one of the most widely utilised forms of transport thanks to its high safety level, large capacity, and cost-effectiveness. With the railway network's continuous development, including urban rail transit, one of the major areas of increasing attention and demand is ensuring safety or risk management in operation long-term remains for the whole life cycle by scientific tools, management of railway operation (Martani 2017), specifically in developed and developing countries like Vietnam. The situation in Vietnam demonstrates that the national mainline railway network has been built and operated entirely in a single narrow gauge (1000mm) since the previous century, with very few updates of manual operating technology. This significantly highlights that up to now, the conventional technique for managing the safety operation in general, and collision in particular, of the current Vietnamese railway system, including its subsystems, is only accident statistics which is not a scientific-based tool as the others like risk identify and analyse methods, risk mitigation…, that are already available in many countries. Accident management of Vietnam Railways is limited and responsible for accident statistics analysis to avoid and minimise the harm caused by phenomena that occur only after an accident. Statistical analysis of train accident case studies in Vietnam railway demonstrates that, because hazards and failures that could result in serious system occurrences (accidents and incidents) have not been identified, recorded, and evaluated to conduct safety-driven risk analysis using a well-suited assessment methodology, risk prevention and control cannot be achieved. Not only is it hard to forecast and avoid events, but it may also raise the chance and amount of danger, as well as the severity of the later effects. As a result, Vietnam's railway system has a high number of accidents and failure rates. For example, Vietnam Rail-ways' mainline network accounted for approximately 200 railway accidents in 2018, a 3% increase over the previous year, including 163 collisions between trains and road vehicles/persons, resulting in more than 100 fatalities and more than 150 casualties; 16 accidents, including almost derailments, the signal passed at danger… without fatality or casual-ty, but significant damage to rolling stock and track infrastructure (VR 2021). Focusing and developing a new standardised framework for safety management and availability of railway operation in Vietnam is required in view of the rapid development of rail urban transport in the country in recent years (VmoT 2016; VmoT 2018). UMRT Line HN2A in southwest Hanoi is the country's first elevated light rail transit line, which was completed and officially put into revenue service in November 2021. This greatly highlights that up to the current date, the UMRT Line HN2A is the first and only railway line in Vietnam with operational safety assessment launched for the first time and long-term remains for the whole life cycle. The fact that the UMRT Hanoi has a large capacity, more complicated rolling stock and infrastructure equipment, as well as a modern communica-tion-based train control (CBTC) signalling system and automatic train driving without the need for operator intervention (Lindqvist 2006), are all advantages. Developing a compatible and integrated safety management system (SMS) for adaption to the safety operating requirements of this UMRT is an important major point of concern, and this should be proven. In actuality, the system acceptance and safety certification phase for Metro Line HN2A prolonged up to 2.5 years owing to the identification of difficulties with noncompliance to safety requirements resulting from inadequate SMS documents and risk assessment. These faults and hazards have developed during the manufacturing and execution of the project; it is impossible to go back in time to correct them, and it is also impossible to ignore the project without assuming responsibility for its management. At the time of completion, the HN2A metro line will have required an expenditure of up to $868 million, thus it is vital to create measures to prevent system failure and assure passenger safety. This dissertation has reviewed the methods to solve the aforementioned challenges and presented a solution blueprint to attain the European standard level of system safety in three-phase as in the following: • Phase 1: applicable for lines that are currently in operation, such as Metro Line HN2A. Focused on operational and maintenance procedures, as well as a training plan for railway personnel, in order to enhance human performance. Complete and update the risk assessment framework for Metro Line HN2A. The dissertation's findings are described in these applications. • Phase 2: applicable for lines that are currently in construction and manufacturing, such as Metro Line HN3, Line HN2, HCMC Line 1 and Line 2. Continue refining and enhancing engineering management methods introduced during Phase 1. On the basis of the risk assessment by manufacturers (Line HN3, HCMC Line 2 with European manufacturers) and the risk assessment framework described in Chapter 4, a risk management plan for each line will be developed. Building Accident database for risk assessment research and development. • Phase 3: applicable for lines that are currently in planning. Enhance safety requirements and life-cycle management. Building a proactive Safety Culture step by step for the railway industry. This material is implemented gradually throughout all three phases, beginning with the creation of the concept and concluding with an improvement in the attitude of railway personnel on the HN2A line. In addition to this overview, Chapters 4 through Chapter 9 of the dissertation include particular solutions for Risk assessment, Vehicle and Infrastructure Maintenance methods, Inci-dent Management procedures, and Safety Culture installation. This document focuses on constructing a system safety concept for railway personnel, providing stringent and scientific management practises to assure proper engineering conditions, to manage effectively the metro line system, and ensuring passenger safety in Hanoi's metro operatio

Advanced Sensors for Real-Time Monitoring Applications

It is impossible to imagine the modern world without sensors, or without real-time information about almost everything—from local temperature to material composition and health parameters. We sense, measure, and process data and act accordingly all the time. In fact, real-time monitoring and information is key to a successful business, an assistant in life-saving decisions that healthcare professionals make, and a tool in research that could revolutionize the future. To ensure that sensors address the rapidly developing needs of various areas of our lives and activities, scientists, researchers, manufacturers, and end-users have established an efficient dialogue so that the newest technological achievements in all aspects of real-time sensing can be implemented for the benefit of the wider community. This book documents some of the results of such a dialogue and reports on advances in sensors and sensor systems for existing and emerging real-time monitoring applications