Consistent Evaluation Framework Research Articles

Impact of high-speed rail on city attractiveness

Numerous studies have delved into the socioeconomic impacts of High-Speed Rail (HSR) on urban development, examining dimensions, such as economics, environment, and tourism. However, a consistent evaluation framework to measure the overall influence of HSR on city attractiveness remains elusive. This study addresses this gap by utilizing confirmatory factor analysis (CFA) to identify pivotal factors driving city attractiveness and employing structural equation modeling (SEM) to examine the mechanism through which HSR shapes city attractiveness. The analysis confirms that, despite economic performance, urban amenities such as housing, education, and technology play significant roles in improving city attractiveness. Further analysis demonstrates that HSR has different influential mechanisms on city attractiveness across two phases: introduction and operation. The major difference lies in if HSR can directly affect economic performance. Moreover, the analysis also shows the spatiotemporal variance in the impact of HSR on city attractiveness. These findings provide important insights for urban planners, enabling the formulation of more effective strategies for future infrastructure investment and city development.

Real-Time Semantic Image Segmentation with Deep Learning for Autonomous Driving: A Survey

Semantic image segmentation for autonomous driving is a challenging task due to its requirement for both effectiveness and efficiency. Recent developments in deep learning have demonstrated important performance boosting in terms of accuracy. In this paper, we present a comprehensive overview of the state-of-the-art semantic image segmentation methods using deep-learning techniques aiming to operate in real time so that can efficiently support an autonomous driving scenario. To this end, the presented overview puts a particular emphasis on the presentation of all those approaches which permit inference time reduction, while an analysis of the existing methods is addressed by taking into account their end-to-end functionality, as well as a comparative study that relies upon a consistent evaluation framework. Finally, a fruitful discussion is presented that provides key insights for the current trend and future research directions in real-time semantic image segmentation with deep learning for autonomous driving.

Improving Capacity Development for Threatened Maritime and Marine Cultural Heritage Through the Evaluation of a Parameter Framework

Maritime cultural heritage is under increasing threat around the world, facing damage, destruction, and disappearance. Despite attempts to mitigate these threats, maritime cultural heritage is often not addressed to the same extent or with equal resources. One approach that can be applied towards protecting and conserving threatened cultural heritage, and closing this gap, is capacity development. This paper addresses the question of how capacity development can be improved and adapted for the protection of maritime cultural heritage under threat. It asserts that capacity development for maritime cultural heritage can be improved by gaining a more comprehensive and structured understanding of capacity development initiatives through applying a consistent framework for evaluation and analysis. This allows for assessment and reflection on previous or ongoing initiatives, leading to the implementation of more effective initiatives in the future. In order to do this, a model for classifying initiatives by ten parameters is proposed. It is then applied to a number of case studies featuring initiatives in the Middle East and North Africa region. This is followed by a discussion of how conclusions and themes drawn from the examination and evaluation of the case study initiatives can provide a deeper understanding of capacity development efforts, and an analysis of how the parameter model as a framework can aid in improving capacity development for threatened maritime cultural heritage overall.

An evaluation framework for non-medical prescribing research

Without robust and credible evidence for the benefits in health outcomes of non-medical prescribing, widespread implementation will be challenging. Our aim is to develop a consistent evaluation framework that could be applied to non-medical prescribing research. An informal collaboration was initiated in 2008 by a group of pharmacists from Australia and New Zealand to assist in information sharing, pilot design, methodologies and evaluation for pharmacist prescribing. Different pilots used different models, methodologies and evaluation. It was agreed that the development of a consistent evaluation framework to be applied to future research on non-medical prescribing was required. The framework would help to align the outcomes of different research pilots and enable the comparison of endpoints to determine the effectiveness of a non-medical prescribing intervention.

A review of approaches for the long-term management of municipal solid waste landfills

After closure, municipal solid waste (MSW) landfills must be managed and controlled to avoid adverse effects on human health and the environment (HHE). Aftercare (or post-closure care) can be brought to an end when the authorities consider the landfill to no longer pose a threat to HHE. Different approaches have been suggested for long-term landfill management and evaluation of aftercare completion. In this paper, research on aftercare and its completion is analyzed and regulatory approaches for the completion of landfill aftercare are reviewed. Approaches to aftercare could be categorized as (i) target values, (ii) impact/risk assessment, and (iii) performance based. Comparison of these approaches illustrates that each has limitations and strengths. While target values are typically used as screening indicators to be complemented with site-specific assessments, impact/risk assessment approaches address the core issue about aftercare completion, but face large uncertainties and require a high level of expertise. A performance-based approach allows for the combination of target values and impact/risk assessments in a consistent evaluation framework with the aim of sequentially reducing aftercare intensity and, ultimately, leading to the completion of aftercare. At a regulatory level, simple qualitative criteria are typically used as the primary basis for defining completion of aftercare, most likely due to the complexity of developing rigorous evaluation methodologies. This paper argues that development of transparent and consistent regulatory procedures represents the basis for defining the desired state of a landfill at the end of aftercare and for reducing uncertainty about the intensity and duration of aftercare. In this context, recently presented technical guidelines and the ongoing debate with respect to their regulatory acceptance are a valuable step towards developing strategies for the cost-effective protection of HHE at closed MSW landfills. To assess the practicality of evaluation methodologies for aftercare, well-documented case studies including regulatory review and acceptance are needed.

Evaluating active labour market programmes in New Zealand

PurposeThe aims of this paper are to measure the impacts of subsidy, work experience and training programmes on New Zealand male registered unemployed, and to examine the sensitivity of these estimates to the amount of time that participants are followed after an intervention.Design/methodology/approachThe impact of an intervention on those who participate in an active labour market programme is the key question addressed in this paper. A New Zealand panel data set is used, which includes both intervention and individual characteristics of the unemployed. Both a potential outcomes and single nearest‐neighbour difference‐in‐differences matching approach are used to estimate the impact of participation.FindingsThe key findings are that work experience programmes are the most effective in the short‐term. Training programmes are the least effective. Programmes are more effective for the long‐term unemployed than for short‐term unemployed. The results are sensitive to the point of time examined in the post‐intervention period, with short‐term benefits disappearing completely three years after the intervention.Originality/valueThis paper examines the relative effect of active labour market programmes in New Zealand using a consistent evaluation framework. The sensitivity of the results to different time periods, and matching estimator specifications are examined.

Quality Criteria for Re-Use of Organotin-Containing Sediments on Land (7 pp)

Background, Aim and Scope The use of organotin compounds as antifouling agents on ships is prohibited at EU level since 1 July 2003. Because of its persistence, the presence of organotin compounds in harbour sediment will however remain a problem for years. Dumping of dredged sediment in sea is subject to very strict quality criteria, stimulating the exploration of re-use alternatives, such as re-use on land. Within the TBT Clean project (EU LIFE Project 02/ENV/B/341) an assessment framework for re-use of organotin containing treated sediment on land as secondary granular building material was developed. Three scenarios were considered: free re-use on land, re-use above groundwater level with cover layer, and re-use under groundwater level (the latter two scenarios are referred to as restricted re-use). Receptors considered were humans, ecosystem and groundwater. Generic upper concentration limits and sediment leaching limits were calculated. Materials and Methods: Upper concentration limits were calculated with the Vlier-Humaan model. This model allows to calculate soil remediation values according to the Flemish legal framework. The focus of the methodology is the protection of human health, although a check for ecotoxicity was included in the project. The soil remediation value for residential land-use was selected within the scenario for free re-use; for restricted re-use (no direct contact possible), the soil remediation value for industrial land-use was selected. Leaching values were calculated with an analytical soil and groundwater transport model. The reference scenario behind the leaching criteria of the European Landfill Directive was modified to fit the project objectives. Default values for application height and length were used. The point-of-compliance was situated at 20 m distance in the groundwater. Physicochemical properties were taken from literature; sorption characteristics were taken from literature and were measured on 6 treated sediment samples during the project. Plant-uptake values were taken from the literature. Toxicological criteria were taken from EFSA. Results: The assessment framework provided an upper limit (SedUL) and an leaching value (SedLV) for each scenario, expressed as mg/kg dm in the sediment. Criteria were calculated for tributyltin (TBT) and dibutyltin (DBT); too few data were available for monobutyltin (MBT). The SedUL equalled 0.51 mg TBT/kg dm and 0.07 mg DBT/kg dm for free re-use and 195 mg TBT/kg dm and 205 mg DBT/kg dm for restricted re-use (two scenarios). For free re-use the SedLV was only limiting for TBT at Kd of < 2000 l/kg in the sediment. Under re-use above groundwater level with coverage SedLV values ranged from 6.9 – 29 mg TBT/kg dm and from 12 – 33.3 mg DBT/kg dm (Kd ranging from 100 – 10000 l/kg); under re-use below groundwater level SedLV values ranged from 0.007 – 0.77 mg TBT or DBT/kg dm (Kd ranging from 100 – 10000 l/kg). Discussion: Results are subject to large uncertainties because of variation in input data; the model output is sensitive to variation in plant uptake (SedUL for free re-use), Koc or Kd (SedUL for restricted re-use, SedLV for re-use with coverage), Henry's law coefficient (SedUL for restricted re-use); all these parameters show orders of magnitude variation. Conclusions: A feasible and consistent framework for evaluation of the re-use of treated organotin containing sediment was developed. However, the resulting quality criteria are still subject to large uncertainties, due to uncertainties in input data. Recommendations and Perspectives: High-quality data on plant uptake and soil sorption of organotin compounds, the influence of soil properties on these processes, and long-term terrestrial toxicity data are needed to refine the calculations. The quality criteria should be reviewed when these data become available.