Safety Plan Research Articles

Examining contemporaneous and temporal associations of real-time suicidal ideation using network analysis.

Suicidal ideation arises from a complex interplay of multiple interacting risk factors over time. Recently, ecological momentary assessment (EMA) has increased our understanding of factors associated with real-time suicidal ideation, as well as those predicting ideation at the level of hours and days. Here we used statistical network methods to investigate which cognitive-affective risk and protective factors are associated with the temporal dynamics of suicidal ideation. The SAFE study is a longitudinal cohort study of 82 participants with current suicidal ideation who completed 4×/day EMA over 21 days. We modeled contemporaneous (t) and temporal (t + 1) associations of three suicidal ideation components (passive ideation, active ideation, and acquired capability) and their predictors (positive and negative affect, anxiety, hopelessness, loneliness, burdensomeness, and optimism) using multilevel vector auto-regression models. Contemporaneously, passive suicidal ideation was positively associated with sadness, hopelessness, loneliness, and burdensomeness, and negatively with happiness, calmness, and optimism; active suicidal ideation was positively associated with passive suicidal ideation, sadness, and shame; and acquired capability only with passive and active suicidal ideation. Acquired capability and hopelessness positively predicted passive ideation at t + 1, which in turn predicted active ideation; acquired capability was positively predicted at t + 1 by shame, and negatively by burdensomeness. Our findings show that systematic real-time associations exist between suicidal ideation and its predictors, and that different factors may uniquely influence distinct components of ideation. These factors may represent important targets for safety planning and risk detection.

Domestic and Family Violence Screening and Response: A Prospective, Cross-Sectional, Mixed Methods Survey in Private Mental Health Clients.

Most domestic and family violence (DFV) research has focused on establishing prevalence and screening rates in public health and community samples. This study sought to address a gap in the literature by evaluating DFV screening and response practices in a private mental healthcare inpatient service and determining if clients of the service had unmet DFV needs. A prospective, convenience sample, mixed methods, cross-sectional survey of adult inpatient mental health consumers was employed. Sixty-two participants completed the Royal Melbourne Hospital Patient Family Violence Survey. Quantitative Likert-type and categorical responses were collated and analysed descriptively (count and percentage). Free-text responses were analysed using qualitative description within a content analysis framework. Sixty-five percent of participants had been screened for at least one DFV issue, on at least one occasion, with 35% not being screened, to their recall. Twenty-three percent reported disclosing DFV concerns, 82% felt very supported by the clinician's response to their disclosure, and 86% were provided with information they found helpful. Unmet needs were identified in 13% of participants, who had wanted to disclose DFV concerns but not feel comfortable to do so. No unscreened respondents disclosed DFV concerns, highlighting the need to uphold best practice guidelines for direct enquiry. Most disclosing clients were positive about the support they received. Indicated areas for improvement were screening rates, active follow-up, increasing psychology support levels and safety planning.

Analysis of the influence of the daily regulation of power stations on navigable flow conditions at river confluences using the LSTM model

The daily operations of large hydropower stations on rivers induce frequent variations in downstream water levels and flow velocities, resulting in unsteady and complex hydraulic characteristics at the confluence of the main stream and its tributaries, which adversely affect navigation safety. The continuity and momentum equations, along with the RNG k-ϵ turbulence model and the VOF model, were employed to simulate the river flow process at the confluence under unsteady flow conditions. The simulated results for water levels and velocity vector fields are in good agreement with experimental data. Variations in hydraulic characteristics, including water level, flow velocity, and longitudinal gradient at the confluence of the main stream and its tributaries, were analysed. The results indicated that the water level at the confluence decreases when the tributary merges with the main stream. As the confluence ratio increases, fluctuations in the water level at the confluence decrease. However, an increase in the staggered period results in greater fluctuations in the water level within this region. Moreover, a crescent-shaped high-speed flow region is formed at the confluence of the tributary and the main stream. As the unsteady flow discharge of the main stream increases, the relative area of this region correspondingly enlarges, reaching its maximum at peak discharge, and subsequently gradually diminishes as the discharge decreases. Based on these simulation data, a Long Short-Term Memory (LSTM) model was developed to effectively predict water levels and flow velocities, providing a more convenient and accurate method for obtaining real-time information on confluence areas than traditional mathematical and statistical approaches. This study provides novel insights into predicting flow characteristics in confluence areas, thereby offering a basis for formulating navigation safety plans.

An Integrated Quantitative Method of Risk Analysis and Decision Making for Safety Manipulation of a Forest Firefighting Aircraft by Using Physical Models of Multi-Hazard Factors

Although firefighting aircrafts are effective for fighting forest fires, they are affected by a variety of risks related to forest fires during flight operations such as thermal radiation, temperature rise, decrease in air density, and changes in updraft aerodynamics. However, quantifying these influences poses a challenge. Our research reveals that safety standards predominantly hinge on technical indicators like flight height, speed, and angle of attack, which makes it possible to quantify the above effects. A general method framework for analysing firefighting flight safety criteria was constructed in this thesis. Using relevant physical models, such as heat radiation, temperature, air density, and updraft in a forest fire environment, safety criteria with an analytical form were established. The corresponding safety constraints of each criterion were calculated quantitatively, and the most stringent constraint was determined based on multiple factors to obtain a comprehensive safety constraint boundary composed of the critical altitude, stall speed, and critical angle of attack. Finally, the effectiveness of the method is verified in a simulation case. The research results show that the constrained boundary calculation method proposed in this study can provide a scientific basis for the formulation of technical specifications for forest aviation fire safety and aviation fire task planning.

Road crash dynamics in Malaysia: Analysis of trends and patterns

Road crashes represent a significant public health and safety concern globally, and Malaysia is no exception. Understanding the trends and patterns of road crashes is essential for devising effective strategies to mitigate risks and enhance road safety. This study presents a comprehensive analysis of road crash dynamics, focusing on road users, severity patterns and geographical patterns in Malaysia from 2012 to 2022. Data sourced from the Royal Malaysian Police (RMP) are utilized to examine various aspects of road crashes. Road crash trend, geographical patterns, linear trend analysis and K-means clustering are employed to explore patterns of road crash in Malaysia. The findings reveal that motorcycles consistently emerged as the most involved road user. Geographical patterns discovered that Selangor exhibits higher crash number. Linear trend analysis revealed significant upward trends in crash frequency prior to the pandemic, while the number of fatalities resulting from road crash showed a downward trend over the observed period. K-means clustering identified that Selangor recorded high total crashes and high total of fatalities. This study also considers the influence of the Covid-19 pandemic on road crash dynamics, highlighting changes in travel patterns and behaviour. There also have been notable successes, such as the reduction in total fatalities and the effectiveness of targeted interventions via the accomplishments of initiatives of Malaysian Road Safety Plan 2014–2022.

Development and Validation of Electronic Health Record Measures of Safety Planning Practices as Part of Zero Suicide Implementation.

Safety planning for suicide prevention is an important quality metric for Zero Suicide implementation. We describe the development, validation, and application of electronic health record (EHR) programs to measure uptake of safety planning practices across six integrated healthcare systems as part of a Zero Suicide evaluation study. Safety planning was documented in narrative notes and structured EHR templates using the Stanley Brown Safety Planning Intervention (SBSPI) in response to a high-risk cutoff score on the Columbia Suicide Severity Rating Scale (CSSRS). Natural Language Processing (NLP) metrics were developed and validated using chart review to characterize practices documented in narrative notes. We applied NLP to measure frequency of documentation in the narrative text and standard programming methods to examine structured SBSPI templates from 2010-2022. Chart reviews found three safety planning practices documented in narrative notes that were delivered to at least half of patients at risk: professional contacts, lethal means counseling for firearms, and lethal means counseling for medication access/storage. NLP methods were developed to identify these practices in clinical text with high levels of accuracy (Sensitivity, Specificity, & PPV ≥ 82%). Among visits with a high-risk CSSRS, 40% (Range 2-73% by health system) had an SBSPI template within 1 year of implementation. This is one of the first reports describing development of measures that leverage electronic health records to track use of suicide prevention safety plans. There are opportunities to use the methods developed here in future evaluations of safety planning.

Spatiotemporal Heterogeneity Analysis of Provincial Road Traffic Accidents and Its Influencing Factors in China

To objectively evaluate the road traffic safety levels across different provinces in China, this study investigated the spatiotemporal heterogeneity characteristics of macro factors influencing road traffic accidents. Panel data from 31 provinces in China from 2009 to 2021 were collected, and after data preprocessing, traffic accident data were selected as the dependent variables. Population size, economic level, motorization level, highway mileage, unemployment rate, and passenger volume were selected as explanatory variables. Based on the spatiotemporal non-stationarity testing of traffic accident data, three models, namely, ordinary least squares (OLS), geographically weighted regression (GWR), and geographically and temporally weighted regression (GTWR), were constructed for empirical research. The results showed that the spatiotemporal heterogeneity characterizing the macro factors of traffic accidents could not be ignored. In terms of impact effects, highway mileage, population size, motorization level and passenger volume had positive promoting effects on road traffic accidents, while economic level and unemployment rate mainly exhibited negative inhibitory effects. In terms of impact magnitude, highway mileage had the greatest impact on traffic accidents, followed by population size, motorization level, and passenger volume. Comparatively, the impact magnitude of economic level and unemployment rate was relatively small. The conclusions were aimed at contributing to the objective evaluation of road traffic safety levels in different provinces and providing a basis for the formulation of reasonable macro traffic safety planning and management decisions. The findings offer valuable insights that can be used to optimize regional traffic safety policies and strategies, thereby enhancing road safety.

Analysis of Fill Dam Using Finite Element Method and Comparison with Monitoring Results

Nowadays, a detailed safety policy is applied for dams. These policies cover structural safety, monitoring, inspection, safe operation, and emergency plans. For high-risk dams, all these policy elements need to be included in dam safety programs. Deficiencies in embankment dams, which suffer the most damage, can be detected by visual inspection and programmed monitoring of dams. In dams, horizontal and vertical deformation, leakage, pressure, stress, loads acting on structural elements, and environmental factors are generally measured. These behaviors can be numerically modeled to determine the dam behavior. Numerical analysis methods are important for monitoring the safety of the dam. Models created with software such as Plaxis provide information about dam behavior. Although numerical analysis is very important for dams, obtaining the material parameters used in the construction of the dam needed for modeling, recording the construction stages of the dam, not taking the water level change in the dam reservoir instantaneously, and not taking the measurement records of the dam measurement instruments correctly for different reasons constitute problems and difficulties for the analyses. Within the scope of this study, İkizdere Dam in Turkey was modeled with the Plaxis finite element program; the survey and piezometer measurement data taken from the dam were evaluated by comparing with the analysis results; the difficulties and problems encountered in the modeling and analysis phase were stated, and recommendations were made on dam safety and numerical analysis. Thus, in addition to other studies, it was emphasized that it is important for dam engineers to monitor the use of numerical analysis models throughout the entire process, not only in the planning phase but also from the planning phase to the life of the dam, and to keep records of all recording intervals that will be needed in digital analysis models.

Digital Platform for the Prevention of Suicidal Behaviour and Non-Suicidal Self-Injuries in Adolescents: The SmartCrisis-Teen Study Protocol.

Suicidal behavior and Non-Suicidal Self-Injuries (NSSIs) are a major health problem in the adolescent population. New technologies can contribute to the development of innovative interventions in suicide prevention. Here, we present the SmartCrisis-Teen study protocol. The study consists of a randomized clinical trial which aims to evaluate the effectiveness of a digital safety plan to prevent suicidal behavior and NSSIs in adolescents. This is a multicentric study which will be conducted among the adolescent population, both in clinical and student settings, with a target sample of 1080 participants. The intervention group will receive an Ecological Momentary Intervention (EMI) consisting of a digital safety plan on their mobile phone. All participants will receive their Treatment As Usual (TAU). Participants will be followed for six months, with weekly and monthly telephone visits and face-to-face visits at three and six months. Participants will be assessed using traditional questionnaires as well as Ecological Momentary Assessment (EMA) and Implicit Association Tests (IATs). With this intervention, we expect a reduction in NSSIs through the acquisition of coping strategies and a decrease in suicidal behavior over the course of follow-up. This study provides a novel, scalable digital intervention for preventing suicidal behavior and NSSIs in adolescents, which could contribute to improving adolescent mental health outcomes globally.

Clinical performance of implanted devices used in surgical treatment of patients with spinal tumors: a systematic review

PurposeImplanted devices used in metastatic spine tumor surgery (MSTS) include pedicle screws, fixation plates, fixation rods, and interbody devices. A material to be used to fabricate any of these devices should possess an array of properties, which include biocompatibility, no toxicity, bioactivity, low wear rate, low to moderate incidence of artifacts during imaging, tensile strength and modulus that are comparable to those of cortical bone, high fatigue strength/long fatigue life, minimal or no negative impact on radiotherapy (RT) planning and delivery, and high capability for fusion to the contiguous bone. The shortcomings of Ti6Al4V alloy for these applications with respect to these desirable properties are well recognized, opening the field for an investigation about novel biomaterials that could replace the current gold standard. Previously published reviews on this topic have exhibited significant shortcomings in the studies they included, such as a small, heterogenous sample size and the lack of a cost-benefit analysis, extremely useful to understand the practical possibility of applying a novel material on a large scale. Therefore, this review aims to collect information about the clinical performance of these biomaterials from the most recent literature, with the objective of deliberating which could potentially be better than titanium in the future, with particular attention to safety, artifact production and radiotherapy planning interference. The significant promise showed by analyzing the clinical performance of these devices warrants further research through prospective studies with a larger sample size also taking into account each aspect of the production and use of such materials.MethodsThe Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines were used to improve the reporting of the review. The search was performed from March 2022 to September 2023.ResultsAt the end of the screening process, 20 articles were considered eligible for this study. Polyetheretherketone (PEEK), Carbon-fibre reinforced polyetheretherketone (CFR-PEEK), long carbon fiber reinforced polymer (LCFRP), Polymethylmethacrylate (PMMA), and carbon screw and rods were used in the included studies.ConclusionCFR-PEEK displays a noninferior safety and efficacy profile to titanium implanted devices. However, it also has other advantages. By decreasing artifact production, it is able to increase detection of local tumor recurrence and decrease radiotherapy dose perturbation, ultimately bettering prognosis for patients necessitating adjuvant treatment. Nonetheless, its drawbacks have not been explored fully and still require further investigation in future studies. This does not exclude the fact that CFR-PEEK could be a valid alternative to titanium in the near future.

Utilising co-design to develop a lived experience informed personal safety tool within a mental health community rehabilitation setting.

Mental health personal safety tools aim to promote a recovery focus and empower an individualised approach to consumer care. These clinical tools are predominantly utilised in acute mental health settings with a person during or straight after a crisis. There is currently a gap in the literature regarding the preparation of personal safety tools in non-acute mental health settings. This descriptive article discusses the learnings and outcomes from a co-designed project that aimed to develop a personal safety tool suitable for a community mental health rehabilitation setting. Seven people with lived experience engaging within a mental health community-based rehabilitation service were recruited through convenience sampling to participate in the co-design project. A focus group approach was utilised during four group meetings to develop a personal safety tool template. Experiences and ideas about safety planning were transcribed during meetings and thematic analysis extracted key themes. Five steps underpinned the co-design process that included identifying the need, establishing the co-design group, planning, design and development, and review and closure. Consumer involvement commenced at step two of the co-design process. The completed personal safety tool was designed with consumer input and review. The personal safety tool consisted of nine intervention components. Four key themes emerged from focus group meetings that informed the content of the tool: (i) ensuring the personal safety tool is individualised and meaningful, (ii) promoting exploration of personal strengths and interests, (iii) enabling opportunities to learn self-management skills, and (iv) treating the personal safety tool as a dynamic and adaptable tool. Findings suggest that a personal safety tool targeted to a mental health community-based rehabilitation setting should have an individualised and preventative focus to mental health care. Embedding co-design principles can support opportunities for meaningful consumer engagement and establishing consumer and clinician partnerships.

Suicide Prevention Training for Social Work Students in Rural Practicum Placements: Current Opportunities and Areas for Growth

ABSTRACT Students and practicum instructors in a primarily rural state were surveyed about suicide prevention practice and training opportunities provided to social work trainees during their practicum placements. A cross-sectional, electronic survey was administered to N = 86 students and N = 64 practicum instructors and descriptive statistics were analyzed. Most students (87.1%) and practicum instructors (86.6%) felt that students should have the opportunity to engage with suicidal clients while in practicum. Many students reported having had contact with a suicidal client while in practicum (70.6%) and had engaged in some sort of practice related to suicide prevention (82.6%). The most frequently reported practice behaviors were suicidal inquiry (62.8%), risk assessment (60.7%), disposition planning (51.0%), and safety planning (49.0%). Over half (52.9%) had not used any evidence-based tools for screening and follow-up and only one quarter (25.5%) had provided postvention services. Many students (72.9%) were concerned about iatrogenic risk. Although most practicum instructors felt comfortable addressing suicide prevention in supervision (74.4%), many (64.1%) also reported the desire for additional training. Although students appear to have opportunities to engage in suicide prevention in practicum, there are specific knowledge and practice gaps regarding evidence-based tools, postvention, and the “myth” of iatrogenic risk.

Evaluating the Effectiveness of Safety Plans for Mitigating Suicide Risk in Two Samples of Psychiatrically Hospitalized Military Veterans

Although safety plans (SPs), following the Stanley–Brown Safety Planning Intervention protocol, are required for suicidal veterans receiving treatment in the Veterans Health Administration (VHA), prior studies have shown that they are frequently incomplete or are not sufficiently personalized to the unique circumstances of each patient. In two studies, we examined SP completeness, SP quality (i.e., degree to which the SP was clear, actionable, and personalized), and SP fidelity (i.e., sum of completeness and quality). We also examined which SP steps were associated with a reduced likelihood of future psychiatric rehospitalizations (Study 1) and suicide attempts (Study 2) following hospital discharge. Participants were veterans admitted to two VHA acute inpatient psychiatric units for suicide risk (Study 1: N = 78; Study 2: N = 132). SPs were coded by independent raters on completeness, quality, and fidelity; step scores (e.g., Step 1 quality) were summed to create whole-plan scores (e.g., SP quality). In Study 1, 52.5% of participants had an SP and, in Study 2, 93.1% of participants had an SP. In Study 1, whole plan scores were not associated with subsequent psychiatric hospitalization status, but higher Step 2 (internal coping) fidelity scores were associated with decreased likelihood of rehospitalization (AHR = 0.05, 95% CI [0.30, 0.84], p = .008). In Study 2, higher whole-plan quality (AHR = 0.79, 95% CI [0.66, 0.95], p = .012) and fidelity (AHR = 0.84, 95% CI [0.71, 0.99], p = .040) scores were associated with a decreased likelihood of future suicide attempt. Step 1 (warning signs) quality (HR = 0.48, 95% CI [0.30, 0.76], p = .002) and fidelity scores (AHR = 0.57, 95% CI [0.37, 0.90], p = .016) were associated with a decreased likelihood of future suicide attempt. The association of SP characteristics differs by outcome of interest, and fidelity of internal coping strategies may contribute to preventing rehospitalizations, whereas quality and fidelity of warning signs may help prevent future suicide attempts. Overall, results suggest that mandating SPs without training and implementation strategies to ensure quality is not enough.

Building Back Better: Exploring the Resilience of Schools in Disaster Recovery

As natural and human-made disasters escalate globally, the urgency to rebuild resilient communities is increasingly evident. With this study, Building Back Better: Exploring the Resilience of Schools in Disaster Recovery explores the experiences, disaster recovery, challenges, coping mechanisms, and insights of three school administrators and four teachers designated as school Disaster Risk Reduction coordinators in the Monkayo East District of Davao de Oro. This study utilized qualitative phenomenological study to delve into the lived experiences of educational professionals during post-disaster recovery. This research aims to gain a deep understanding of the challenges, coping mechanisms, and insights from a purposive sample of four teachers designated as school Disaster Risk Reduction coordinators and three school administrators who have directly engaged with the recovery processes following natural disasters. The data were gathered through an in-depth face-to-face interview and used an audio recorder to record the discussion. The significant finding from the study is the multifaceted and long-lasting impact of disasters on students' learning environments. This finding highlights how disasters not only cause physical damage to school infrastructure but also disrupt the educational process, widen achievement gaps, and affect the emotional well-being of students. The disruption of normal routines and the psychological stress experienced by students underscore the critical need for comprehensive recovery strategies, including academic support and mental health resources, to help students regain stability and continue their education effectively. This emphasizes the importance of preparedness and resilience in educational institutions to mitigate the impact of such crises. This study highlights the need for timely assessments, repairs, and coordination with local authorities to ensure the structural integrity of school facilities. It underscores the importance of disaster preparedness and the implementation of robust recovery strategies to mitigate the impact on the educational environment and maintain a safe and conducive learning space. This focus on infrastructure is foundational, as it directly influences the ability of schools to function effectively post-disaster. Teachers and school heads are pivotal in disaster risk reduction within educational institutions. They create safety plans, organize drills, and educate students on emergency procedures, fostering a culture of preparedness. School heads provide leadership, while teachers act as first responders, guiding students to safety and offering necessary care. Collaboration between teachers, school heads, and stakeholders is crucial for a resilient school environment. By involving the entire school community in planning and implementing safety measures, schools can effectively respond to disasters, ensuring the safety and well-being of everyone involved. This partnership promotes a proactive approach to disaster preparedness, making safety a priority in all school activities.

Through the Shadows: Exploring Domestic Child Torture

Child torture is a severe form of child maltreatment. Children who are tortured are at high risk of death and/or re-traumatization. It is imperative both legally and ethically that health care providers recognize children who are being tortured in order to develop a safety plan to help prevent further abuse and trauma to the child. This article will define and address the following: child torture, intrafamilial child torture (ICT), common presentations of victims of ICT, risk factors of victims of ICT, and guidelines for healthcare practitioners working in the United States when they assess victims. Additionally, there will be a discussion on the importance of collaborating both on an interdisciplinary (e.g. medical, social workers, child protective case workers, psychology) and multidisciplinary (clinical and legal) level. and the utilization of self-care activities for clinicians, after treating a child who has been tortured.

Crisis Intercept Mapping for Community-Based Suicide Prevention: An Assessment of the Crisis Infrastructure and Future Considerations for 988.

Suicide is a significant public health problem, yet barriers to treatment remain. To address barriers and meet needs, Congress designated a new 988 dialing code to increase utilization of the National Suicide Prevention Lifeline. As a result, call volume increased, and demand for community-based crisis services is expected. To examine the availability of community-based crisis care, we analyzed information collected from 2020 to 2022 Crisis Intercept Mapping (CIM) technical assistance workshops conducted with communities across the country. We found that training and implementation of suicide risk screening, safety planning, lethal means safety, and follow-up were limited and inconsistent among communities in our study. Collaboration was variable, impacting the ability of communities to support care transitions. Participants described multiple barriers to the routine implementation of evidence-based care and identified potential solutions for addressing them. Findings suggest a need for relationship building and targeted education and training to meet future demand for crisis care.

Municipal Solid Waste Management and Health Risks: Application of Solid Waste Safety Plan in Novi Sad, Serbia

Inadequate solid waste management (SWM) can cause environmental contamination and health risks. Minimizing the health risks from SWM practices requires the identification of linkages between potential sources of exposure, environmental transport pathways, and adverse health outcomes. A safety planning approach can represent an innovative tool for reducing such risks. In previous research, we introduced the solid waste safety plan (SWSP) concept, only focusing on the health risk ranking assessment matrix. Here, we demonstrate the application of the SWSP framework in a case study of the municipal landfill of Novi Sad, Serbia. We identify potential hazards and assessed the likelihood and severity for them, using a combination of quantitative and semi-quantitative approaches to estimate risk levels for each identified hazard. Hazards deemed high and very high risks for the community and workers include groundwater contamination from leachate, airborne contaminants from combustion and non-combustion processes, and worker injuries associated with waste combustion. Control measures for each are identified, together with a corresponding cost analysis. Adding a final top cover to the landfill and introducing a collection, transport, and treatment system for the biogas would address hazards presenting high health risks but are also among the highest costs. While we demonstrate the approach and utility of an SWSP in a research context, future work is needed to assess the use of the SWSP by local communities or SWM utilities.

A method to promote safe cycling powered by large language models and AI agents

This paper presents a novel information generation methodology to support safer cycling patterns in urban environments, leveraging for that Large Language Models (LLMs), AI-based agents, and open geospatial data. By processing multiple files containing previously computed urban risk levels and existing mobility infrastructure, which are generated by exploiting open data sources, our method exploits multi-layer data preprocessing procedures and prompt engineering to create easy-to-use, user-friendly assistive systems that are able to provide useful information concerning cycling safety. Through a well-defined processing pipeline based on Data Ingestion and Preparation, Agents Orchestration, and Decision Execution methodological steps, our method shows how to integrate open-source tools and datasets, ensuring reproducibility and accessibility for urban planners and cyclists. Moreover, an AI agent is also provided, which fully implements our method and acts as a proof-of-concept implementation. This paper demonstrates the effectiveness of our method in enhancing cycling safety and urban mobility planning.•A novel method that combines LLMs and AI agents is defined to enhance the processing of multi-domain open geospatial data, potentially promoting cycling safety.•It integrates urban risk data and cycling infrastructure for a more comprehensive understanding of cycling resources, which become accessible by textual or audio prompts.

New Frontiers in Water Distribution System Management and Monitoring: First Development of a Water Safety Plan Based on Heritage Building Information Modeling (HBIM) in Neptune Fountain, Bologna, Italy

The World Health Organization (WHO) recommends the introduction of a water safety plan (WSP) approach on drinking water, in all types of settings. This study represents the first WSP developed on the Neptune Fountain, in Bologna (Italy), based on an interdisciplinary approach, integrating hydraulic and microbiological features, in a Building Information Modeling (BIM). The aim was to develop a dynamic and digital platform to update and share the maintenance program, promoting collaboration among microbiologists, engineers, and municipal staff. Water samples were collected along fountain water distribution systems (WDS) from 2016 to 2021 to monitor water quality through the heterotrophic bacteria at 22 °C and 37 °C, as well as to conduct an Enterococci, Coliform bacteria, Escherichia coli, Pseudomonas aeruginosa, Clostridium perfringens, and Staphylococcus aureus assessment. Simultaneously, hydraulic measures were performed, and advanced geomatics techniques were used to detect the WDS structural components, with a focus on the water treatment system (WTS). The WTS consisted of 10 modules corresponding to specific treatments: descaling, carbon–sand filtration, reverse osmosis, and ultraviolet disinfection. Fecal indicators, heterotrophic bacteria, and P. aeruginosa exceeded the reference limits in most of the modules. Several disinfections and washing treatments, other than changing the maintenance procedure scheduling, were performed, improving the WTS and controlling the contamination. The developed microbiological results, hydraulic measurements, and maintenance procedures were integrated in the BIM model to optimize the data storage, updating procedures and the real-time data sharing. This approach improved the fountain management, operation, and material conservation, ultimately preserving the health of daily visitors.

Estimating Urban Traffic Safety and Analyzing Spatial Patterns through the Integration of City-Wide Near-Miss Data: A New York City Case Study

City-wide near-miss data can be beneficial for traffic safety estimation. In this study, we evaluate urban traffic safety and examine spatial patterns by incorporating city-wide near-miss data (59,277 near-misses). Our methodology employs a grid-based method, the Empirical Bayes (EB) approach, and spatial analysis tools including global Moran’s I and local Moran’s I. The study findings reveal that near-misses have the strongest correlation with observed crash frequency among all the variables studied. Interestingly, the ratio of near-misses to crashes is roughly estimated to be 1957:1, providing a potentially useful benchmark for urban areas. For other variables, an increased number of intersections and bus stops, along with a greater road length, contribute to a higher crash frequency. Conversely, residential and open-space land use rates show a negative correlation with crash frequency. Through spatial analysis, potential risk hotspots including roads linking bridges and tunnels, and avenues bustling with pedestrian activity, are highlighted. The study also identified negative local spatial correlations in crash frequencies, suggesting significant safety risk variations within relatively short distances. By mapping the differences between observed and predicted crash frequencies, we identified specific grid areas with unexpectedly high or low crash frequencies. These findings highlight the crucial role of near-miss data in urban traffic safety policy and planning, particularly relevant with the imminent rise of autonomous and connected vehicles. By integrating near-miss data into safety estimations, we can develop a more comprehensive understanding of traffic safety and, thus, more effectively address urban traffic risks.