Policy Planning Research Articles

Effectiveness of Ayush Rasayana A and B on the Quality of Life of Older Adults: Protocol for a Cluster Randomized Controlled Trial

Background With advancing age among older adults, the associated debilities increase, indicating a deteriorating health status as there is a gradual loss of muscle mass, strength, and functionality. Ayush Rasayana A and B are coded Ayurvedic medicines developed from herbal extracts. This study has been planned to prevent debilitating conditions and improve the quality of life (QOL) in older adults. Objective This study aimed to assess the effectiveness of Ayush Rasayana A and B on the QOL, quality of sleep, and functionality of older adults, along with the tolerability of the intervention. Methods This was a multicenter, open-label, cluster randomized controlled trial conducted with 720 participants aged 60 to 75 years. The participants were divided into 2 groups (intervention and control), with both receiving Ayurvedic ancillary treatment for 3 months. The intervention group additionally received 10 g of Ayush Rasayana A orally once daily at bedtime for 6 days, followed by 1.5 g of Ayush Rasayana B orally twice daily before food for the remaining 84 days. The assessment criteria included the Older People’s Quality of Life Questionnaire Brief, Katz Index of Independence in Activities of Daily Living, Pittsburgh Sleep Quality Index, Five Times Sit-to-Stand Test, and shoulder and scapular movements. Any change in hematological and biochemical parameters and occurrence of treatment-emergent adverse events were also assessed during the study period. Results The recruitment of the participants started in December 2023, and the final follow-up was completed in April 2024. Out of the total 720 enrolled participants, 686 (95.3%) completed the study up to the last follow-up. Conclusions This study may provide evidence-based data to establish preventive treatment protocols for enhancing the QOL and functionality among older adults. The study results may also be helpful for the planning of interdisciplinary health policies for improving the health conditions of different populations International Registered Report Identifier (IRRID) DERR1-10.2196/58186

Effects of the General Data Protection Law (LGPD) On For-Profit Organizations

Objective: The general objective of the study is to analyze which technical and administrative measures are necessary for accounting organizations to comply with the provisions of the LGPD, with this general objective being divided into three specific objectives: a) identify the technical and administrative measures relevant to the LGPD; b) establish privacy policies on the data made available and c) define the stages of technical and administrative measures so that organizations comply with the provisions of the Law. Theoretical Framework: This topic presents the main concepts and theories that underpin the research. The General Data Protection Law - LGPD (LAW 13.709/2018) stands out, providing a solid basis for understanding the context of the investigation. Method: The methodology adopted for this research is applied, descriptive, bibliographical and documentary, with a qualitative approach. The unit of analysis was 5 managers from 5 for-profit organizations located in the northwest region of RS during the month of May 2023. Data collection was carried out through bibliographic, documentary and interview research, using documentary and descriptive analysis techniques. Results and Discussion: The findings indicate that criteria adopted for the protection of people's data were defined for the companies surveyed, considering the administrative department of the companies, where data considered sensitive is handled, divided basically into three sectors: Accounting sector, Tax sector and Human Resources sector and Personnel Department. It was found that there is a need to implement technical and administrative measures in the processes and invest in training on the subject within the organizations, in order to avoid infractions and fines as punishment for non-compliance with the provisions of the General Data Protection Law. In the discussion section, these results are contextualized in light of the General Data Protection Law - LGPD (LAW 13.709/2018), highlighting the implications and relationships identified. Possible discrepancies and limitations of the study are also considered in this section. Research Implications: The practical and theoretical implications of this research are discussed, providing insights into how the results can be applied or influence practices in the field of the General Data Protection Law - LGPD. These implications may include the deepening of knowledge, as well as from a practical point of view, since it offers a concrete solution to a specific demand of the company investigated in this study. Originality/Value: This study contributes to the literature by discussing the topic General Data Protection Law - LGPD (LAW 13.709/2018. The relevance and value of this research are evidenced by providing guidance to organizations on how to prepare the Privacy Policy and Contingency Plan, with the purpose of adapting to the LGPD.

Microbiomes of urban trees: unveiling contributions to atmospheric pollution mitigation

Urban trees are crucial in delivering essential ecosystem services, including air pollution mitigation. This service is influenced by plant associated microbiomes, which can degrade hydrocarbons, support tree health, and influence ecological processes. Yet, our understanding of tree microbiomes remains limited, thus affecting our ability to assess and quantify the ecosystem services provided by trees as complex systems. The main hypothesis of this work was that tree microbiomes concur to hydrocarbon biodegradation, and was tested through three case studies, which collectively investigated two tree micro-habitats (phyllosphere and tree cavity organic soil—TCOS) under various conditions representing diverse ecological scenarios, by applying different culture-based and molecular techniques and at different scales. The integration of all results provided a more comprehensive understanding of the role of microbiomes in urban trees. Firstly, bacterial strains isolated from the phyllosphere of Quercus ilex were characterized, indicating the presence of Plant-Growth Promoting bacteria and strains able to catabolize PAHs, particularly naphthalene and phenanthrene. Secondly, naphthalene biodegradation on artificially spiked Hedera helix leaves was quantified in greenhouse experiments on inoculated and untreated plants. The persistence of the inoculated strain and community structure of epiphytic bacteria were assessed by Illumina sequencing of V5–V6 hypervariable regions of 16S rRNA gene. Results showed that naphthalene degradation was initially faster on inoculated plants but later the degradation rates became similar, probably because bacterial populations with hydrocarbon-degrading abilities gradually developed also on non-inoculated plants. Finally, we explored bacterial and fungal biodiversity hosted by TCOS samples, collected from six large trees located in an urban park and belonging to different species. Microbial communities were characterized by Illumina sequencing of V5–V6 hypervariable regions of bacterial gene 16S rRNA and of fungal ITS1. Results indicated TCOS as a distinct substrate, whose microbiome is determined both by the host tree and by canopy environmental conditions and has a pronounced aerobic hydrocarbon degradation potential. Overall, a better assessment of biodiversity associated with trees and the subsequent provision of ecosystem services constitute a first step toward developing future new microbe-driven sustainable solutions, especially in terms of support for urban green planning and management policy.

Resilience through Mobility: Urban Residents’ Adaptation Strategies in Conflict-Affected Bamenda, Cameroon

The global phenomenon of human population displacement during environmental stressors and socio-political crises has far-reaching impacts. In urban areas, residents' mobility is often driven by various factors. This study investigates urban residents' mobility as a resilience strategy in response to the Anglophone socio-political crisis in Bamenda, Cameroon. Employing a case study design and purposive sampling, the research selected five neighborhoods based on the extent of residential changes as a result of the ongoing socio-political crisis in the region. Data were collected through semi-structured interviews with 105 respondents and focus group discussions to explore residential mobility as a resilience mechanism. The findings revealed that five specific population groups were affected by the socio-political crisis, prompting them to relocate within Bamenda. Among those displaced, 60% were households led by individuals aged 26-32. Key reasons for displacement included ongoing violence, loss of life, family disconnection, property destruction, disrupted economic activities, halted education, and increased internally displaced persons in the region. The study also found that residents with higher financial status could relocate to safer areas, while vulnerable individuals often fled or temporarily sought refuge in forests. The prolonged crisis, over seven years now, has severely impacted Bamenda residents, escalating forced displacement rates. Consequently, the study recommends that the government implement targeted urban planning policies to enhance resilience strategies, focusing on affordable social housing, resettlement structures, and improved access to basic services for displaced residents, while fostering peace and stability in Cameroon’s Northwest and Southwest regions.

‘Green icing on the Gray Cake?’ Green infrastructure in federal enforcement action

ABSTRACT A growing number of local governments are adopting Green Infrastructure (GI) as a strategy for urban stormwater management. In the United States, GI has gained particular momentum through federal initiatives. Previous studies have identified regulatory factors playing a pivotal role in the adoption of GI at the local level. However, the integration of GI with federal enforcement actions has received limited research attention. This study examines the first generation of federal consent decrees with GI provisions to provide insights into federal GI policy and local GI planning. The findings reveal inconsistency in GI requirements, with some cases merely encouraging GI adoption, while others mandating a more specific approach to planning and implementation. Drawing on existing GI scholarship, the results of this study suggest the establishment of universal requirements, such as piloting projects, defining success criteria, and incorporating equity considerations into local GI planning.

Modeling the distribution of cultural ecosystem services based on future climate variables under different scenarios

With the far-reaching consequences of worldwide climate variationon ecosystems and human societies, understanding and predicting changes in cultural ecosystem services (CES) is essential for sustainable development policy and resource planning. Past studies have focused on changes and impacts on natural ecosystems, while relatively few studies have been conducted on predictions of CES. This study combines POI datasets with future climate variables under different scenarios into the Maxent model for forecasting the spatial and temporal distribution of CES, which provides strong support for future decision-making. The results indicate that: (1) Under the SSP126 and SSP585 scenarios, the CES values in the northern, western, central, and northeastern parts of the study area are relatively high, while those in the southwestern, southern, and southeastern parts are relatively low. (2) Under the SSP126 scenario, the total CES shows an increasing trend from 2021 to 2040, but slightly declines from 2061 to 2080. In contrast, under the SSP585 scenario, the total CES significantly decreases from 2021 to 2040, especially in the provinces of Guizhou, Hunan, Zhejiang, and Anhui. (3) Temperature has a significant impact on CES predictions, with the annual mean temperature (Bio1) positively correlated with total CES, contributing between 0.75 and 0.78 to the distribution of CES across different years and scenarios. Additionally, the maximum temperature of the hottest month (Bio5) and the mean temperature of the wettest quarter (Bio8) also significantly influence CES under different scenarios and years. These findings reveal the regional characteristics and variations in CES distribution under different climate scenarios, providing crucial scientific evidence for future policy-making, resource management, and climate adaptation strategies. They also offer important insights into the impact of global climate change on ecosystems and human society, serving as a valuable reference for future national decision-making.

Comparative Analysis of Household Residential Preferences Across Neighbourhood Densities in Nairobi, Kenya

Rapid urban growth in Nairobi city outstrips demand and provision of adequate housing. The demand for housing in an area is dependent on the satisfaction of the resident’s needs and wants. This paper examines the residential preferences of residents in three residential estates, low, medium, and high densities in Nairobi City, Kenya. Data was collected by use of questionnaires that were administered to 267 households. Primary data was collected for this study. The data collected was analysed using factor analysis and ordinal regression. Data was presented in the form of tables. The results indicate residential preferences among high, medium and low-density areas vary. The most preferred factors for low-density residents were safety and security, open spaces and facilities; while the residents in high-density areas preferred housing diversity, local employment and close proximity to the workplace. The least preferred factor for low-density residents was close proximity to work place since they own cars hence they are more willing to commute while high-density residents prioritize proximity to work to minimize transportation costs. Residential preferences varied by density, age, gender, education and years lived in an estate. Preference for safer neighbourhoods with open spaces and facilities was high for residents in low-density areas while preference for neighbourhoods with housing diversity, local employment and close proximity to workplaces was high among the residents in high-density estates. These insights underscore the importance of addressing the varied needs and preferences of different demographic groups in urban planning and housing policy to create more equitable and livable communities in Nairobi in order to limit housing mismatch. This study contributes to the planning studies by firming up empirical evidence from developing countries that have high populations in urban areas

Towards a Conceptual Approach on the Connections of Urban Metabolism and Entropy with the Human Habitat

The complexity of urban areas has motivated the search for integrative approaches. This paper addresses three topics—human habitat, urban metabolism, and urban entropy—to explore their links within the context of urban territory and sustainability. The lack of approaches, outlooks, and synergies motivates the search for an integrated conceptual framework, what I originated as a review of published works to contribute an interdisciplinary and multiscale outlook. From reviewing 41 articles, published from 1960 to 2020, definitions were extracted, original concepts were identified, synthetic definitions were formulated, and basic elements were identified to be integrated into a first synthetic approach, both illustrative and schematic. Eighteen binding key concepts, which were derived from 83 definitions, were incorporated into the proposed conceptual framework. We suggest that the human habitat, urban metabolism, and urban entropy are strongly interrelated, confirming the utility of the proposed conceptual framework and showing the potential to generate methodological approaches that integrate one or several conceptual elements that comprise it. Demonstrating the explicit bond between definitions, concepts, and components integrated systematically into the proposed conceptual framework is innovative in the field of scientific investigation, considering its applicability to public policy, resource management, or sustainable urban planning.

Depopulation and Changes in Habitat Type in Rural Areas in Aragón (Spain)

Objective: The study aims to examine recent transformations in rural habitats undergoing depopulation in Aragón, Spain, between 2010 and 2018. It seeks to verify changes in habitat concentration patterns and identify the underlying factors. Theoretical Framework: Drawing upon theories of rural exodus and demographic shifts, the research employs the Colas Index (Colas, 1945) to analyze habitat types—dispersed or concentrated. It recognizes the influence of agricultural changes, service provision challenges, and territorial dynamics on rural settlement patterns (Escolano and de la Riva, 2003; Nuninger et al., 2021). Method: The investigation focuses on depopulated municipalities in Aragón, utilizing a comparative analysis of the Colas Index from 2010 to 2018. Administrative boundaries define the study's territorial units, enabling the quantification of habitat changes and an assessment of their direction. The analysis integrates demographic and settlement dynamics to understand habitat evolution. Results and Discussion: Findings indicate varied habitat transformation processes across municipalities, confirming the heterogeneity of the rural landscape (Pinilla and Sáez, 2017). While transformations are not universal, they challenge the traditional link between depopulation and habitat concentration. The Colas Index proves valuable for characterizing habitat dispersion levels, yet its limitations in concentrated areas are acknowledged. Methodological constraints related to administrative boundaries and the complexity of rural-urban continua are also discussed. Research Implications: This study contributes to a nuanced understanding of depopulation impacts on rural habitats, informing territorial planning and demographic policies. It underscores the need for tailored strategies that consider local habitat variability and the potential for revitalization efforts in select areas. Originality/Value: By highlighting the diversity of habitat transitions amidst depopulation, the research offers fresh insights into rural settlement dynamics. Its value lies in demonstrating that depopulation no longer universally leads to habitat concentration, thus updating the scholarly discourse on rural transformation in Spain.

Revitalizing Agricultural Economy Through Rural E-Commerce? Experience from China’s Revolutionary Old Areas

Many of the world’s less developed regions may not be able to improve the well-being of rural residents through agricultural revitalization because of their remoteness from agricultural markets. Using the county-level data set of China’s underdeveloped old revolutionary base areas from 2010 to 2021, this paper takes the policy planning of rural e-commerce as event intervention to investigate the driving role of the digital product market on agricultural economic development. Empirical results show that rural e-commerce planning policy has significantly promoted the agricultural added value of the pilot counties, and the digital market is the key driving factor of the agricultural economic growth in these underdeveloped areas. Both food production and livestock output have increased significantly as a result of e-commerce policies. Considering the potential bias of the bidirectional fixed effect estimators of staggered differences-in-differences (DID), this study uses heterogeneous robust estimators to verify the growth effect of the agricultural economy. Specifically, digital agricultural markets have significantly promoted agricultural mechanization and significantly improved agricultural total factor productivity. Moreover, empirical evidence does not support transmission mechanisms for off-farm employment and agricultural entrepreneurship. The findings can help less developed countries and regions develop policies to expand the agricultural markets with digital dividends, thereby promoting the development of the agricultural economy.

Creating a robust coordinated data and policy framework for addressing substance use issues in the United States

The ongoing opioid epidemic has been met with the inadequate use of data-informed approaches to respond to the crisis. Although data relevant to opioid and substance use do exist and have been utilized for research in the literature and practice, they have not been prepared for cross-sector coordination and for providing practical intelligence to inform policy planning directly. In this article, we share our views on how data can better serve the purposes of informing policy and planning to maximize population health and safety benefits. Based on our experience in advising state policymakers on developing settlement allocation strategies based on empirical data, we discuss several issues in the data, including coverage, specificity in drug types, time relevance, geographic units, and access, which may hinder data-informed policymaking. Following these discussions, we envision a coordinated data and policy framework as an ideal case to ensure access to meaningful and timely data and harness the full potential of the data to inform policy to combat the continuing epidemic.

The effects of government policy on performance planning for implementation of performance contracting in the government ministries in Kenya

The study sought to analyse the effects of government policy on performance planning for the implementation of performance contracting in government ministries in Kenya. A mixed-method type of design was adopted. Stratified sampling was used to sample four government ministries. In sampling staff to be interviewed, top and middle-level management totalling 831 were identified. Thirty per cent of the 831 (249 staff members) were considered to be representative enough for the study. The study adopted descriptive and inferential statistics. The study used ANOVA, regression analysis, and correlation to analyse the relationship between variables. The study finding observed that there was a strong correlation coefficient of 0.866 at p-value of 0.035 between government policy and performance planning, which implied that employees' performance planning is significant in the implementation of performance contracting; a unit standard deviation increase in effective training and development was likely to increase the standard deviation of performance monitoring by 0.096 on implementation of performance contracting; a unit standard deviation increase in top management commitment was likely to increase the standard deviation of performance reporting on performance implementation by 0.337. The study concludes that government policies have an effect on performance contracting in government ministries in Kenya. Further, the conclusion was that government policy has minimally addressed issues of training and development. Therefore, it is recommended that transfer of training be included in the next reviews of the government policy and specifically addressed in the workplace that often affect the impact of training and development.

Housing double binds: Social sustainability in municipal policy plans

Housing double binds: Social sustainability in municipal policy plans

ТОВАРНА ПОЛІТИКА ПІДПРИЄМСТВА ЯК ОБ’ЄКТ МАРКЕТИНГОВОГО АНАЛІЗУ І ПЛАНУВАННЯ

Introduction. For the effective organization of marketing activities of the enterprise, it is important to rationally build a product policy, which is the basis for making marketing decisions related to the features of the product purchase and the mechanism of its promotion from the manufacturer to the end consumer. The purpose of the article is an in-depth study of the theoretical and methodological aspects of the analysis and planning of marketing product policy (PMP) by developing the structure of the enterprise's PMP strategic plan and building a product management model. Methods. Using the method of analysis and synthesis made it possible to propose an own approach to marketing planning of product policy. Results. The article provides a theoretical analysis of literary sources regarding the interpretation of the concept of PMP by various authors, the expediency of marketing analysis and product policy planning is substantiated. Based on the study of foreign experience, the structure of the enterprise's PMP strategic plan was developed. The relationship between the formation of the PMP «roadmap» and the need to check the maturity of the marketing product policy team, which is represented by such entities and processes as management, employees, PMP implementation tools, business processes and production organization, is presented. Conclusions. Improving MTP planning is one of the most important ways to increase the efficiency of the enterprise. It is important to carry out such marketing planning, which helps to substantiate the impact of the enterprise's general corporate strategy, business strategies on the product strategy.

Bridging the gap: challenges of urban planning and policies for favelas in Salvador, Brazil

Salvador, the capital of Bahia State in Brazil, has long struggled with pronounced economic and social inequality. This stratification has resulted in spatial segregation, leading to the expansion of favelas, typically near the city center, where segregation in various dimensions of social engagement intensifies tensions of inequities. The municipal government has made several attempts to address favela-related issues through urban planning policies. Notwithstanding the progress made in lowering violent crime and extreme poverty, these issues still exist. This paper explores the interaction between government-led practices and corresponding self-organized actions toward planning strategies, invoking a social justice framework and critical urban theories. It identifies mismatches between institutional objectives and residents’ expectations, highlighting that structural contradictions in the region’s social development remain unresolved. The analysis suggests that planning policies should consider key factors, such as resource redistribution, recognition of sociocultural identity, and political representation. On the basis of these findings, this paper offers insights into urban planning for favelas as examples of complex governance challenges. It also aims to contribute to the global discourse on similar urban planning issues.

Protecting nutrition in a food crisis.

Food insecurity and malnutrition are rising worldwide due to disruptions in food systems related to interconnected health-, climate- and conflict-related crises. Although governments globally are committed to addressing nutritional challenges, policy responses have increasingly focused on food security and, particularly, on food affordability. However, these short-term measures often overlook the necessity of integrating nutritious foods into the food system to ensure improved long-term nutrition. By drawing on the United Nations Committee on World Food Security's Voluntary guidelines on food systems and nutrition, this article outlines opportunities for policy-makers to integrate nutrition into key elements of the crisis response. Key policy areas where nutrition could be further integrated include social protection, agricultural investment, trade policy and urban planning. Strengthening the focus of nutrition in these measures will be essential to establish long-term incentives that support food systems transformation for improved nutrition. Drawing on theories of the policy process, I propose that stronger governance and cross-sectoral dialogue will be critical to achieve sustained nutritional outcomes. Health policy-makers can play a leadership role in supporting cross-sectoral policy change by carefully framing the policy issues, advocating for institutional structures that promote collaboration across sectors to prioritize nutrition, and strengthening the management of conflicts of interest in food system policy-making.

Towards greener freight transport networks: An integrated model for location planning and carbon regulation policy evaluation

This paper proposes a mathematical model to assist governmental planning in the transport sector by suggesting optimal locations for logistics integration centers considering intermodality, logistics costs, and carbon costs. Seven scenarios were evaluated considering the assessment of carbon-tax and carbon-cap policies. The findings showed that logistic costs are more significant than carbon costs across the network investigated. Only non-competitive conditions such as considering carbon costs alone or adopting outrageous values for the carbon tax could change this situation. If no facility were opened, the total cost would be 2.8 times higher than the baseline scenario, while intermodality would reduce the baseline emissions by up to 3.753%. Therefore, the government should prioritize greener strategies and modal shifts in addition to implementing carbon policies to ensure a more sustainable and cost-effective transportation sector.

Prevalence of diarrhoea and treatment-seeking practices among children

Estimating the proportion of children with diarrhoea and those who are taken in as inpatients or outpatients is important for policy planning, resource allocation, and to evaluate the effectiveness of diarrhoea prevention and control interventions. We aimed to estimate the proportion of children <2 years of age with diarrhoea, explore their treatment-seeking practices, and identify factors associated with both diarrhoea and treatment seeking. We designed a longitudinal study based on a sample of children <2 years of age in the Birhan field site from September 2018 to September 2019. The study site collected data on child mortality and morbidity and treatment-seeking practice for those with a history of illness every three months. Mothers/caregivers were asked about signs or symptoms of illnesses for a two-week period prior to each study visit. We estimated the proportion of children <2 years of age with diarrhoea and treatment-seeking practices for each of the four rounds of data collection and identified associated factors through bivariable and multivariable logistic regression. We enrolled 4678 children <2 years of age. The proportion of children with diarrhoea was the highest from 11 September 2018 to 9 December 2018 (4.47%; 95% confidence interval (CI) = 3.70-5.35) and the lowest from 10 December 2018 to 9 March 2019 (2.48%; 95% CI = 1.90-3.19). Children from households with chlorinated drinking water had a 50% (adjusted odds ratio (aOR) = 0.50; 95% CI = 0.28-0.88) lower odds of developing diarrhoea compared to those who did not. Among 339 children with diarrhoea, 275 (81.12%; 95% CI = 76.54-85.15) were taken to health facilities for treatment. Female children had lower odds of being taken to health facilities for treatment (aOR = 0.37; 95% CI = 0.17-0.80) compared to males. While the proportion of children with diarrhoea in our study was lower than that observed in prior research conducted in Ethiopia, treatment-seeking practices were higher. Female children and children from the poorest families had lower odds of treatment. We recommend more studies to explore gender-based and socioeconomic differences affecting treatment-seeking practices.

Future Site Suitability for Urban Waste Management in English Bazar and Old Malda Municipalities, West Bengal: A Geospatial and Machine Learning Approach

The rapid urbanization occurring globally has significantly intensified the challenges of waste management in densely populated metropolitan areas. A growing amount of waste has become a major concern for municipal authorities and local governments due to the limited availability of suitable land. Geospatial techniques, such as Geographic Information Systems (GISs) and remote sensing, combined with machine learning, play a crucial role in identifying suitable sites for urban waste management. These techniques assist planners in making well-informed decisions that strike a balance between environmental preservation and urban expansion by examining spatial data on land use, population density, and environmental concerns. Geospatial tools provide a data-driven basis for policy and urban planning, ensuring effective land use, reducing ecological hazards, and promoting sustainable urban growth for municipalities such as English Bazar and Old Malda. It can also pose serious threats to the environment, public health, and communities. Focusing on the English Bazar and Old Malda Municipalities in India, this paper examines the use of geospatial technologies to identify suitable sites for waste disposal. The research aims to address the complex processes of waste generation, collection, and disposal in urban environments. Using GIS and a Multi-Criteria Decision Analysis (MCDA) approach, the study employs the Analytic Hierarchy Process (AHP) alongside the Random Forest (RF) model and a machine learning (ML) technique to identify potential waste disposal sites within the English Bazar and Old Malda Municipalities in the Malda district. Eight key criteria were considered in the site selection process: land elevation; distances from surface water, roads, railways, and urban areas; groundwater depth; land use and land cover; and distance from sensitive and restricted areas. AHP analysis showed that 8%, 26%, and 27% of the sites were categorized as very highly suitable, moderately suitable, and unsuitable, respectively. Meanwhile, 38%, 17%, and 13% of the areas were classified as unsuitable, moderately suitable, and very highly suitable according to the RF model. The overall accuracy and Kappa coefficient indicated that the AHP method (overall capacity of 83.83% and Kappa coefficient of 0.7894) was slightly better than the RF model (overall capacity of 80.61% and Kappa coefficient of 0.7474) for site suitability analysis. This research underscores the broad relevance of geospatial technology in creating resilient and environmentally sustainable cities while offering valuable guidance on effectively allocating waste disposal sites. The findings provide crucial insights for urban planners and decision-makers, facilitating the identification of optimal locations for sustainable waste management in urban settings.

Comparative Analysis of Machine Learning Models for Weather Forecasting: A Heathrow Case Study

Accurate weather forecasting, especially temperature prediction, is fundamental for various segments within the UK, including agriculture, energy, and policy planning, as the nation adapts to the effects of climate change. This study addresses the limitations of conventional linear models in capturing the complex, non-linear relationships within meteorological data by comparing the effectiveness of different Machine Learning (ML) strategies. This study evaluates the performance of baseline ML models, such as Linear Regression (LR), Support Vector Regression (SVR), and K-Nearest Neighbors (KNN). It also examines advanced ensemble and boosting models such as Decision Tree (DT), Random Forest (RF), XGBoost (XGB), LightGBM (LGBM), and CatBoost, using a comprehensive dataset from Heathrow Airport. Detailed preprocessing, model training, and optimization through cross-validation were conducted, with performance assessed using Mean Squared Error (MSE) and Coefficient of Determination (R²) metrics. The results demonstrate that ensemble methods, particularly XGB and LGBM, offer superior predictive accuracy for weather forecasting tasks, highlighting their potential to enhance predictive models in meteorological applications.