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Assessment and Management of Flood Hazard for Tulkarm Area in Palestine
Full text linkFlooding is an actual hazard at several watersheds in Tulkarm governorate of Palestine. The lack of integrated planning and appropriate preparedness lead to increased hazard of flood events. This study aims to develop a flood hazard map, using a group of parameters: slope, elevation, drainage density, precipitation, soil texture, land use/land cover, flow accumulation and population density. Analytic Hierarchy Process method and Geographic Information System program were used to weighted parameters. The result showed a flood hazard map with a 12.5 m resolution for Tulkarm study area categorized into five classes (percentage): very low (2%), low (26%), medium (37%), high (28%) and very high (7%) flood hazards. Results were compared with previous studies from the literature, and verified using ground truthing to examine the certainty of the results in three different locations. A group of interventions (structural and non-structural) were proposed for each flood hazard class so that competent authorities could better manage flood hazards. Some of these interventions for high flood vulnerable areas are, applying heavily-engineered structural measures and regular maintenance of rainwater culverts and valley streams. Mapping the flood hazard is an integral part during phases of flood hazard management from mitigation, preparedness, response and recovery
Reviews and Responses for Predicting Air Traffic Controller Workload from Eye-Tracking Data with Machine Learning
Full text linkDetailed reviews and responses can be found in the PDF and HTML versions of this document.
The DOI for the original paper is \url{https://doi.org/10.59490/joas.2025.8034
An Extended CIA-Based Multi-Level Model for AHP-Driven Safety and Security Decision-Making in Last-Mile Robotic Systems
Full text linkThe rapid growth of e-commerce and the increasing demand for efficient last-mile logistics have led to the rising use of last-mile robots. While these robots promise faster and cheaper deliveries, their operation in complex and dynamic urban environments introduces significant safety and security challenges. Sensor failures, communication disruptions, and cyber-physical attacks may affect the behaviour of the robots and influence human safety.
This work models and analyses these challenges using the Extended Multi-Level Model to represent the different components of last-mile robotic systems and their influence on the environment. We apply Multi-Criteria Decision Making (MCDM) for parallel safety and security risk assessment, focusing on the confidentiality, integrity, and availability (CIA) of the last-mile systems. Considering these three properties together allows priorities to be set within the CIA triad, which is essential for financial and economic decision-making when only limited resources for countermeasures are available.
We extend the model to an Extended CIA Multi-Level Model that enables detailed evaluation of safety and security risks across all system levels. A case study involving robots transporting critical parcel contents demonstrates how confidentiality, integrity, and availability concerns arise throughout the model and how their violation may affect human safety. The approach supports structured decision-making and contributes to improving the safe and secure deployment of last-mile robots.
One sentence summary: This work models the safety and security challenges in last-mile robotic systems (LMRS) using the Extended Multi-Level Model and a Multi-Criteria Decision Making (MCDM) for risk assessment within the CIA triad
The Groningen ‘Accident’: NCG Atelier Regiobouwmeester: design for recovery
Full text linkBetween 1986 and 2013, the Province of Groningen in the Netherlands experienced approximately 1,000 minor earthquakes induced by decades of natural gas extraction. Until the major 2012 Huizinge earthquake, these tremors were neither widely acknowledged as a serious issue nor explicitly linked to extraction activities. Despite growing evidence, Dutch gas companies and governmental bodies delayed taking action, often prioritizing corporate interests over socio-environmental concerns. This essay examines the Groningen earthquakes as a socio-environmental "accident"—not as a random event but the outcome of sustained and systemic negligence which beyond physical damage, has led to long-term distrust, governance failures, and fractured communities. This study features the work of the National Coordinator Groningen (NCG) and it’s Regional Architect’s Atelier (Atelier Regiobouwmeester) to explore the recovery timeline, the role of design in rebuilding efforts, and how specific design measures (toolbox) can contribute to regional reconstruction and resilience. The Groningen case underscores the need for a more just and proactive approach to environmental governance and design in peripheral regions affected by resource extraction
Reviews and Responses for A Geospatial Approach to Modeling Airspace Risk Factors
Full text linkSee detailed reviews and responses in the PDF file.
DOI for the original paper: https://doi.org/10.59490/joas.2025.740
Reviews and Responses for Filtering Techniques for ADS-B Trajectory Preprocessing
Full text linkDetailed reviews and responses can be found in the PDF and HTML versions of this document.
The DOI for the original paper is https://doi.org/10.59490/joas.2024.788
A Collection of Machine Learning Models for Improved Airport Operations Amidst Adverse Weather Conditions
Full text linkIn the face of escalating climate change, airports worldwide are finding themselves at the mercy of extreme weather events. This research paper presents a comprehensive system that models key indicators, aiding airport management during such challenging weather conditions. The system adopts an integrated approach, combining various machine learning models to provide a detailed projection of an airport\u27s future state, drawing from past occurrences. The heart of the system is a model that focuses on the airport\u27s peak service rate. This model meticulously correlates weather conditions and runway configurations with the 99th percentile of observed throughput from the training dataset. As such, the peak service rate model provides an estimate of the airport\u27s capacity, which is essential for effective planning and resource allocation. Moreover, the system includes a predictive model that assesses the likelihood of air traffic flow management regulations based on weather data and calendar information. The robustness of this model against noise and uncertainty in the training dataset is fortified by the application of confident learning techniques and the inclusion of monotonic constraints. The system further enhances its capabilities by forecasting the potential entry rate of regulations, expressed in hourly arrivals, providing valuable insights that can guide proactive decision-making. By seamlessly integrating these three models, the system serves as an effective tool for airport operators and airlines. It enables operational optimisation and the development of strategic plans to mitigate the effects of increasing weather-related disruptions
Improving Efficiency Through the Publication of Expected Distances for Standard Terminal Arrival Routes
Full text linkAccurate pre-flight fuel planning is essential to ensure that an aircraft carries enough fuel for a safe flight, while avoiding unnecessary weight that reduces efficiency. However, at certain airports, frequent shortcuts on arrival can lead to systematic discrepancies between the nominal STAR (Standard Terminal Arrival Route) distances used for fuel planning and the actual distances flown. This, in turn, can result in aircraft carrying unnecessary excess fuel. To address this issue, some airports have begun to publish expected STAR distances for specific procedures in the Aeronautical Information Publication, allowing operators to plan fuel more accurately. This paper examines the impact of providing expected STAR distances by analysing one year of ADS-B data from Geneva, Munich and Rome Fiumicino airports. The study compares the observed distances flown with the full and expected STAR distances and presents econometric models to identify factors influencing the actual flown distances. In addition, fuel calculations are presented to estimate the potential benefits of publishing expected distances at airports that do not currently provide this information. The results show that for most of the STARs analysed, significant differences between observed flight distances and full STAR distances exist. However, these discrepancies are mitigated by the availability of published expected distances at Munich and Rome. The econometric model highlights consistent influencing factors such as STAR shape, shortcut potential, peak traffic hours, and weather conditions, although some effects are more location-specific. The fuel savings analysis suggests that adopting this practice at more airports could significantly reduce unnecessary fuel burn and associated emissions. Overall, this paper increases the understanding of how publishing expected STAR distances can improve fuel planning accuracy, operational efficiency, and environmental sustainability
Deltas under pressure – addressing complex water and food challenges in deltas using a food systems approach
Full text linkWorldwide, deltas are important food-producing areas with increasingly densely populated cities. These water-rich areas are also vulnerable to natural, development and climate change-induced disasters such as floods, droughts, cyclones, sea-level rise and water pollution. Sustaining livelihoods of the delta population now and in the future, is therefore increasingly stressed and with compounding challenges: population growth, urbanization, degradation of the environment, dietary change, and climate change. An integrated approach is necessary to navigate this complexity and to move towards a sustainable but uncertain delta future. We introduce three methodological building blocks to facilitate governance in the delta towards sustainability: A food system approach, co-creation of transition pathways, and scale sensitive governance. We underpin the approach, describing the building blocks while referring to the articles in this Special Issue and other recent research using similar approaches. In this way, the article brings together insights on food systems transitions in deltas from different professional backgrounds and provides insight into and contributes to improving governance in water and food-stressed delta regions
Insights from 25 years of research by Bert van Wee published in the European Journal of Transport and Infrastructure Research
Full text linkBert van Wee, professor in Transport Policy at Delft University of Technology, the Netherlands, faculty Technology, Policy and Management, is retiring. Given his large contributions to EJTIR as Editor-in-Chief, editorial board member, author and reviewer, this Editorial Note is dedicated to his work for EJTIR. Over 25 years, van Wee published 18 papers and 1 book review in EJTIR covering a wide range of topics from road pricing to urban rail transport, vehicle automation and port throughput. What his studies have in common is that they explore how transport policies affect land-use and travel behaviour, as well as the economic and wider societal impacts of those policies. Bert van Wee’s generalist view on the transport system is rare, but, given the rising complexity of the system, increasingly needed to indeed be able to address the future challenges