Neighboring Districts Research Articles

Dengue fever mapping in Bangladesh: A spatial modeling approach

AbstractBackgroundEpidemics of the dengue virus can trigger widespread morbidity and mortality along with no specific treatment. Examining the spatial autocorrelation and variability of dengue prevalence throughout Bangladesh's 64 districts was the focus of this study.MethodsThe spatial autocorrelation is evaluated with the help of Moran and Geary . Local Moran was used to detect hotspots and cold spots, whereas local Getis Ord G was used to identify only spatial hotspots. The spatial heterogeneity has been detected using various conventional and spatial models, including the Poisson‐Gamma model, the Poisson‐Lognormal Model, the Conditional Autoregressive (CAR) model, the Convolution model, and the BYM2 model, respectively. These models are implemented using Gibbs sampling and other Bayesian hierarchical approaches to analyze the posterior distribution effectively, enabling inference within a Bayesian context.ResultsThe study's findings show that Moran and Geary analysis provides a substantial clustering pattern of positive spatial autocorrelation of dengue fever (DF) rates between surrounding districts at a 90% confidence interval. The Local Indicators of Spatial Autocorrelation cluster mapped spatial clusters and outliers based on prevalence rates, while the local Getis‐Ord G displayed a thorough breakdown of high or low rates, omitting outliers. Although Chattogram had the most dengue cases (15,752), Khulna district had a higher prevalence rate (133.636) than Chattogram (104.796). The BYM2 model, determined to be well‐fitted based on the lowest Deviance Information Criterion value (527.340), explains a significant association between spatial heterogeneity and prevalence rates.ConclusionThis research pinpoints the district with the highest prevalence rate for dengue and the neighboring districts that also have high risk, allowing government agencies and communities to take the necessary precautions to mollify the risk effect of DF.

Revisiting the Neighborhood Effects on Disadvantaged Households in Indonesia

The latest statistics of 2022 record 9,57 percent of the Indonesian population living in poverty. As most of the study in this field merely focuses on the internal factors of poverty, this study contributes to providing more perspectives for poverty alleviation by revisiting spatial linkages on poor households’ income in East Java, the second most populated province in the economy. This study employs spatial econometrics analysis in a three-step procedure: (i) designing spatial weight matrix within nearest districts, (ii) doing Moran's I Test to identify spatial effects on the variables, lastly (iii) doing LM Test to find best regression model. Estimates on the SUSENAS 2017 database show that both Ordinary Least Square (OLS) and General Nesting Spatial (GNS) models provide similar results. Nonetheless, when compared with Akaike’s Information Criterion (AIC) model, the GNS model provides better accuracy. This means accommodating spatial effect is imperative. This study also finds a positive spillover of poor households’ income within neighboring districts. This implies the existence of multiplier effects in a household’s economic activities that later might form clusters of poverty. These suggest that the Sustainable Livelihood Approach interventions in the province should take into account differences in social institutions and other socio-cultural characteristics.

Impact of Population Density on Spatial Differences in the Economic Growth of Urban Agglomerations: The Case of Guanzhong Plain Urban Agglomeration, China

In the new period of ups and downs in the international environment, it is necessary to seek a new endogenous impetus for the economic growth of urban agglomerations. Population agglomeration provides a new idea to explain the spatial differences in the economic growth of urban agglomerations. Thus, we ask the question, does population agglomeration affect the spatial differences in the economic growth of urban agglomerations, and how? This study first measured the spatial differences in district- and county-scale economic growth in China’s Guanzhong Plain urban agglomeration from 2005 to 2020 and then constructed an empirical formula to calculate the impact of population density on the urban agglomeration’s economic growth, taking into account the roles of both intra- and inter-district and county interactions. Thus, based on the population density data extracted from nighttime lighting data, we analyzed the impact of population density on economic growth within urban agglomerations, as well as the extent of the impact of population density on economic growth when incorporating spillover effects from neighboring districts and counties. The results indicate that, firstly, the Guanzhong Plain urban agglomeration in China has formed a “core-periphery” development pattern, with the main urban areas of Xi’an–Xianyang and Baoji as the core and the core area gradually spreading out to the neighboring districts and counties of their cities. Secondly, population density can significantly and steadily promote the economic growth of the districts and counties within the urban agglomeration, and the population agglomeration of districts and counties with railway stations can have a stronger effect on the economic growth of these districts and counties. Third, the agglomeration of economic and demographic factors in neighboring counties has a positive spillover effect on the local economy, while the positive impact of population density on economic growth remains unchanged when it is integrated into the spillover effect of neighboring counties. This study not only provides a theoretical basis for systematically exploring the influence of population density on the economic growth of urban agglomerations but also provides a reference for local governments to formulate policies related to regional economic development and spatial territorial planning. According to the research conclusion, this study suggests that local governments can continue to promote the regional development policy of spatial agglomeration and intensive land planning, strengthen the construction of the industrial chain and road network within the urban agglomeration, and deepen the network connection between districts and counties.

Violent Conflict and Informal Institutions: Evidence from a Civil Conflict in Pakistan

Conflicts have a variety of economic, social, and institutional consequences. In this study, we analyse the institutional legacies of violent conflicts by providing evidence from a civil conflict which occurred in the district Swat of Khyber-Pakhtunkhwa (KP), Pakistan. We consider three dimensions, i.e. Trust, Participation, and Cooperation, of informal institutions. District Buner—the neighboring district, is taken as the control district. A random sample of 500 households from each district is selected and Ordinary Least Squares (OLS) and Spatial Regression Discontinuity Design (SRDD) are employed for estimation. We find that exposure to violence undermines out-group trust and trust in governmental organisations; however, it promotes within-group trust and trust in Non-Governmental Organisations (NGOs). Likewise, conflicts stimulate participation in social organisations, political activities, and nongovernment structures but discourage participation in formal government structures. With regard to cooperation, conflicts have beneficial effects on within-group cooperation, collective problem solution, and cooperation with NGOs. However, they retard cooperation with formal government structures. The intensity of these effects is influenced by the location of the individuals as is shown by the results of SRDD. Alternatively, highly exposed areas exhibit comparatively higher changes in trust, participation, and cooperation as compared to the moderately and least affected areas.

Exploration of spatiotemporal heterogeneity and socio-demographic determinants on COVID-19 incidence rates in Sarawak, Malaysia

BackgroundIn Sarawak, 252 300 coronavirus disease 2019 (COVID-19) cases have been recorded with 1 619 fatalities in 2021, compared to only 1 117 cases in 2020. Since Sarawak is geographically separated from Peninsular Malaysia and half of its population resides in rural districts where medical resources are limited, the analysis of spatiotemporal heterogeneity of disease incidence rates and their relationship with socio-demographic factors are crucial in understanding the spread of the disease in Sarawak.MethodsThe spatial dependence of district-wise incidence rates is investigated using spatial autocorrelation analysis with two orders of contiguity weights for various pandemic waves. Nine determinants are chosen from 14 covariates of socio-demographic factors via elastic net regression and recursive partitioning. The relationships between incidence rates and socio-demographic factors are examined using ordinary least squares, spatial lag and spatial error models, and geographically weighted regression.ResultsIn the first 8 months of 2021, COVID-19 severely affected Sarawak’s central region, which was followed by the southern region in the next 2 months. In the third wave, based on second-order spatial weights, the incidence rate in a district is most strongly influenced by its neighboring districts’ rate, although the variance of incidence rates is best explained by local regression coefficient estimates of socio-demographic factors in the first wave. It is discovered that the percentage of households with garbage collection facilities, population density and the proportion of male in the population are positively associated with the increase in COVID-19 incidence rates.ConclusionThis research provides useful insights for the State Government and public health authorities to critically incorporate socio-demographic characteristics of local communities into evidence-based decision-making for altering disease monitoring and response plans. Policymakers can make well-informed judgments and implement targeted interventions by having an in-depth understanding of the spatial patterns and relationships between COVID-19 incidence rates and socio-demographic characteristics. This will effectively help in mitigating the spread of the disease.

Urban sprawl at the expense of cultivated land: decadal land use and land cover changes and future projections in the upper Awash basin of central Ethiopia

IntroductionUrban sprawl in developing countries affects future sustainability concerns related to environment, ecology and cropland losses. This study aimed at identifying, classifying and quantifying the changes in land-use and land-cover (LULC) during the last two decades (2000–2020) and predict the decadal pattern for the next three decades (2030–2050), with particular emphasis on urban sprawl at the expense of cultivated land in the upper Awash basin of central Ethiopia.MethodsLandsat images were used to analyze the LULC change dynamics using hybrid image classification and maximum likelihood classifier techniques. The Cellular Automata-Markov Chain (CAMC) Model was used to predict its future LULC change dynamics. A detailed analysis of the urban sprawl in the cities of Addis Ababa, Adama, and Mojo was also conducted.ResultsIt was observed that during the last two decades, settlements, particularly urban sprawls, substantially expanded at the expense of cultivated land, whereas the latter modestly expanded at the expense of forestland, bare land, and shrubland. From its size in 2000, the urban sprawl of Addis Ababa has grown in all directions towards cultivated land by more than six times in 2020 and is expected to become double of that by 2050 in the urban and peri-urban areas of the basin. Adama city has expanded by the same rate of 9.7% in the past two decades, while Mojo town has sprawled 9 folds between 2010 and 2020. The predicted percentage change in settlement for Addis Ababa and its neighboring districts within 22 km radius from the centroid shows a 40% expansion in 2030, 77% in 2040, and 87% in 2050 compared with the reference year 2020. Similarly, the Mojo town will expand significantly in 2030 (54%), 2040 (119%), and 2050 (by a staggering magnitude of 244%), while Adama will expand within the 12 km radius by 18%, 42%, and 117% in the next three respective decades.DiscussionThe rapid cultivated land conversions in the basin may contribute to major shifts in urban and peri-urban ecological environments. Our predictive LULC change maps and urban sprawling could be useful for developing effective and sustainable land-use policies for environmental and ecological management in the upper Awash basin.

A spatial and temporal analysis of commercialized NTFP production in four administrative regions in Myanmar

The Myanmar Forest Department governs non-timber forest product (NTFP) commercialization through 10-year forest management plan. The forest management plan targets future production based on records of NTFP production and current estimated NTFP stocks using forest inventory data from different districts. The plan focuses on forest environmental factors rather than including other potential factors that promote sustainable and successful commercialization. However, planning for districts separately without being aware of commercialized NTFP conditions in surrounding districts, may lead forest department staff to either underestimate the potential to boost future NTFP commercialization or fail to prevent over-extraction by reducing the targeted production in their district. We investigated whether spatial and temporal patterns of NTFPs production differed among adjoining districts. We carried out a spatio-temporal analysis of commercialized NTFPs to show the production patterns across 22 districts located in four administrative zones. The analysis was performed on five NTFPs categories: (i) food & medicine, (ii) wood fuel, (iii) raw material, (iv) fragrance wood, and (v) spices, by looking at the annual production of NTFPs from 2006 to 2014. We found that neighboring districts with similar forest environments had significant differences in spatio-temporal production patterns for many NTFPs. In particular, some districts had important commercial production of fragrance wood and spices, while their neighboring districts had not commercialized these NTFPs. Our study found other influencing factors besides forest environment that explained production patterns for different NTFPs at the district level, including seasonal collection, location, and market demand. We recommend that the Myanmar Forest Department investigates local factors influencing commercialization at the district level and uses them as additional input for developing the next 10-year forest management plan to promote successful NTFP commercialization.

Outbreak of tomato flu in India raising concerns: is it a false alarm or are we welcoming a new pandemic?

Outbreak of tomato flu in India raising concerns: is it a false alarm or are we welcoming a new pandemic?

The Importance of Clinical Data & Prevalence of Breast Tumors in South Punjab, Pakistan

Background: In Western countries, middle-aged women are more vulnerable to breast cancer. Globally, almost a million new cases were identified in 1998. One in 12 women in England and Wales will get the disease at some point.1 Even 5,000 years after it was first reported, the etiology of breast cancer is still unclear, and effective preventative measures are even further off. Aim: To characterize the varied ways in which breast cancer has presented itself among patients at Bahawal Victoria Hospital in Bahawalpur. Methods: This investigation employed a descriptive case series research design. This research was conducted at Bahawal Victoria Hospital's Surgery Department in Bahawalpur (Pakistan). From March 13th, 2020 through March 12th, 2021, the study was conducted (12 months). With their assent, 100 women with definite cases of breast cancer were enrolled in the study. Results: Cancer of the breast most commonly affected women between the ages of 31 and 50 (59%). Seventy-six patients arrived from the outlying rural areas of Bahawalpur and the neighboring districts. Only 18 patients had completed high school after 10 years and 5 patients were discovered to be college graduates. The single rate was 12%, with 12 patients. Eighty-one percent of patients reported having a breast lump. 56% of breast cancers involve the left breast, while 43% involve the right. One patient alone had breast cancer that had spread to both of her breasts. Illness duration varied from 1 month to 5 years. Stage III was the most prevalent presentation, with 46 instances, and Stage IV was the least common, with 16 patients. Practical implication Community based effective awareness and prompt screening programme will improve better outcomes in breast cancer management. Conclusion: Breast cancer is very common cancer in the females, and most commonly it presented as a lump in the breast, because of some social aspects, lack of awareness, poverty, no proper screening programs and above all the fear of diagnosis, females try to hide this problem and often it presented at late and more advance stage. Keywords: Breast, Nipple, Cancer, Lump, Surgery, Tumor

The Importance of Clinical Data & Prevalence of Breast Tumors in South Punjab, Pakistan

Background: In Western countries, middle-aged women are more vulnerable to breast cancer. Globally, almost a million new cases were identified in 1998. One in 12 women in England and Wales will get the disease at some point.1 Even 5,000 years after it was first reported, the etiology of breast cancer is still unclear, and effective preventative measures are even further off. Aim: To characterize the varied ways in which breast cancer has presented itself among patients at Bahawal Victoria Hospital in Bahawalpur. Methods: This investigation employed a descriptive case series research design. This research was conducted at Bahawal Victoria Hospital's Surgery Department in Bahawalpur (Pakistan). From March 13th, 2020 through March 12th, 2021, the study was conducted (12 months). With their assent, 100 women with definite cases of breast cancer were enrolled in the study. Results: Cancer of the breast most commonly affected women between the ages of 31 and 50 (59%). Seventy-six patients arrived from the outlying rural areas of Bahawalpur and the neighboring districts. Only 18 patients had completed high school after 10 years and 5 patients were discovered to be college graduates. The single rate was 12%, with 12 patients. Eighty-one percent of patients reported having a breast lump. 56% of breast cancers involve the left breast, while 43% involve the right. One patient alone had breast cancer that had spread to both of her breasts. Illness duration varied from 1 month to 5 years. Stage III was the most prevalent presentation, with 46 instances, and Stage IV was the least common, with 16 patients. The histological hallmark most frequently attested by examination of slides was infiltrating ductal carcinoma, and this was the case in 87% of the cases. Conclusion: Breast cancer is very common cancer in the females, and most commonly it presented as a lump in the breast, because of some social aspects, lack of awareness, poverty, no proper screening programs and above all the fear of diagnosis, females try to hide this problem and often it presented at late and more advance stage. Keywords: Breast, Nipple, Cancer, Lump, Surgery, Tumor

Enhanced Road Network to Reduce the Effect of (External – External) Freight Trips on Traffic Flow

The transportation system is often described as the lifeblood of modern society. Roads constitute a fundamental part of this system for both passenger and freight transports, a well-functioning freight transportation system is an essential element in any successful economy. Hilla is one of the most densely populated cities in Iraq. The road network in Hilla city is under additional load due to (external - external) trips, especially freight trips by trucks passing through the city's main entrances to cross into neighboring districts and provinces. This is due to the city's strategic location, which connects Baghdad with the southern provinces, making it an important transit route. The objective of this research is to study a proposal for modifying and developing the road network in the city of Hilla by adding new roads to the current network in order to reduce the negative impact of freight trucks passing through the city, especially (external - external) trips, by using Trans CAD and ArcGIS software network analysis. The result of network analysis shows that the suggested roads will reduce the total (travel time and distance) for the same origin and destination points by 9%, and 30%, compared with the current distance and time, respectively, while improving the level of service from D to C at peak hours for freight vehicles. Doi: 10.28991/CEJ-2022-08-11-015 Full Text: PDF

Evaluation of Engineering Behaviour of Expansive Soil with Addition of Lime and Quarry Dust

The Kota city, which is situated in Rajasthan state of India, is having a major problem of disposing the quarry dust. Quarry dust is a waste product produced by the stone industry during the cutting and crushing of stone. This byproduct is affecting the environment and land fertility as well. One of the innovative techniques for ground improvement can be practiced by using quarry dust as soil stabilizing agent. This technique may simultaneously offer the environmental sustainability, use of industrial waste, and space saving. The Expansive Soil (ES) deposits in Kota district and its neighboring districts, Jhalawar and Baran, make it difficult to build large constructions. In order to make the soil suitable for construction, quarry dust and lime are used for stabilization of the ES in this study. The UCS and CBR value was increased after adding of quarry dust with 6% lime and stabilized soil has superior load bearing capacity.

A Study on the Prediction of Hazardous Areas of Sulfuric Acid Leakage

Sulfuric acid is used for various purposes in industry, but research on sulfuric acid accidents is lacking. Thus, to prepare safety measures, it is necessary to analyze the risk distance for such accidents, particularly sulfuric acid leaks. As part of this study, 112 scenarios of varying wind speeds and leakage amounts were prepared and a risk-distance analysis was carried out at an industrial plant. The scenarios were then analyzed based on hazard concentrations. The analysis revealed that if the entire amount of sulfuric acid leaked from the industrial plant, it spread up to 9,978 m at a wind speed of 6 m/s. Residential areas were also included within the maximum diffusion distance, and it was confirmed that the leak also affected neighboring administrative districts. Therefore, it is necessary to prepare a plan to prevent and respond to sulfuric acid leakage accidents in industrial complexes.

A Network Approach to Revealing Dynamic Succession Processes of Urban Land Use and User Experience

One significant challenge to understanding the mechanisms of urban retail areas’ transition is limited data to trace a dynamic perspective of influential actors’ experience in an extended urban area. We overcome this gap by employing text mining to collect big text data from online blogs and propose a methodology to explore the dynamic spatial transformations and interactions across multiple adjacent retail areas. We study five retail areas that currently function as a major commercial hub in Seoul—the Hongdae area and its neighboring districts. We create co-occurrence networks of the text data to capture representative place images and user experiences. Our blog-word networks systematically capture the “invasion-succession” process in land-use transition during the commercialization of Hongdae’s neighboring districts. The process mirrors the history of spatial change in the areas, which once formed a small-scale, bohemian hip neighborhood that incubated indie culture and has now fully commercialized as a global tourist attraction. The commercial transition triggered by Hongdae’s cultural capital peaked with consumer experiences of “food and eating” dominating the whole area. Finally, the text networks signal gentrification in each commercial district near Hongdae, contributing to the current discourse on commercial gentrification by adding consumers’ perspectives.

Socio-economic determinants of smallholder mixed crop-livestock farmers’ choice of climate change adaptation in the drylands of Northern Ethiopia

Purpose This paper aims to understand the perception of smallholder farmers on climate change, identify major livestock related climate change adaptation (CCA) strategies and their determinants in selected neighboring districts of Tigray and Amhara regions of Ethiopia. Design/methodology/approach A total of 416 household heads were involved in a questionnaire survey using a multistage sampling approach. To understand the socio-economic factors that influence farmers’ perception on climate change (CC) and/or variability, a binary logit model was used. Multinomial logit model was used to identify the determinants of smallholder farmers’ choices of adaptation strategies. Findings Milk reduction, weight loss, feed shortage and frequent animal disease outbreak were indicated as major impacts of CC on livestock production. About 86.2% of the farmers’ exercise CCA measures where livestock health care and management (25%), followed by livelihood diversification (21.5%) and shifting and diversification of livestock species (20.9%) were the top three adaptation measures implemented. Education, knowledge on CCA strategies, access to veterinary service and extension, market access, annual income, non-farm income, total livestock unit, sex of household head and household size were the major determinant factors to farmers’ choice of CCA. Research limitations/implications Concerned authorities working in CC related sectors should give due attention to improve smallholder farmers’ access to extension and veterinary services, market access and climate information to enhance their adaptive capacity to CC impacts. In addition, incorporating climate change awareness trainings into the existing extension packages is crucial to enhance the awareness of farmers on climate change and implement appropriate adaptation strategies. Moreover, it is very essential to provide appropriate herd management and marketing strategy based on the production system to avoid the significant price reduction during drought periods. Practical implications Concerned authorities working in CC related sectors should give due attention to improve smallholder farmers’ access to extension and veterinary services, market access and climate information to enhance their adaptive capacity to CC impacts. In addition, incorporating climate change awareness trainings into the existing extension packages is crucial to implement appropriate adaptation strategies. Moreover, it is very essential to provide appropriate herd management and marketing strategy based on the production system to avoid the significant price reduction during drought periods. Originality/value This research is focused on smallholder crop-livestock farmers, livestock-based CCASs and presents the determinant factors to their choice of adaptation.

Optimization of wind power plant sizing and placement by the application of multi-objective genetic algorithm (GA) in Madhya Pradesh, India

Wind speed forecasting is primary to the dispatching and controllability of the power grid. This paper presents an optimization technique to estimate the optimal size of wind power plants required to fulfill the varying load demand of different districts in the state of Madhya Pradesh, India. The districts were selected based on the wind Capacity Utilization Factor (CUF) and land availability. This article proposes construction of small wind power plants in each district in order to satisfy local energy needs and, if necessary, serve the neighboring districts, thus reducing the dependence on the grid. The losses caused during transmission and distribution are substantially reduced. This article highlights the issue of estimating the size of wind power plants as an objective problem of optimization. The estimate of the energy plant size is considered a multi-objective optimising issue, and three scenarios are chosen as objectives. The first case is to reduce the monthly difference between energy demand and production in every area. In the second case, the cost of each unit generated is minimised. The third case involves reducing the power supply from one district to the other's losses in transmission and distribution. This multi-objective problem is solved via the genetic algorithm. The aim is to minimise the RMS value of demand inaccuracy by considering the cost of power generated, which was reduced at least to INR 3.60. The simulation of the optimization approach suggested indicates that the algorithm's plant size closely follows the targets.

Predicting the Future of Protected Areas in the Region of the Highest Population Density in Sub-Saharan Africa

ABSTRACT The landscape surrounding protected areas (PAs) plays a big role in supporting the achievement of conservation goals. This paper examines demographic dynamics in the vicinity of Akagera National Park (ANP) both in time and space, considers its implication on land-use/land-cover (LULC) change of one of its neighboring districts, and involves the existing environmental planning policies to anticipate the fate of the ANP. Data retrieved from Rwanda Land Management and Use Authority (RLMUA) and from the National Institute of Statistics of Rwanda (NISR) were reinforced with field observation and Global Positioning System (GPS) measurements taken within Gatsibo district where the study was conducted and injected into a Geographic Information System (GIS) for mapping and analysis. Findings revealed that in the next 50 years, the increasing human settlement and associated social-economic needs will erase any remnant wildlife hotspots in the ‘Unrestricted zone’ of the district and reclaim intrusion in its ‘Restricted zone’ of which ANP is part. This raises imminent fear of growing cases of encroachment of human activities into illegal and high-risk zones and a possible second de-gazettement of the park. The reversal of this trend requires the implementation of the local LULC plan and the promotion of the ecological lifestyle.

Insight of Codon usage bias and Evolutionary rate among the genes C, E, prM and NS5 of the Kyasanur Forest Disease virus

Kyasanur Forest Disease was first evolved in the Kyasanur forest, Karnataka. The transmission of the virus has occurred from the monkey to the human by the tick vector. On the early day of viral spread, the disease was restricted to the surrounded region of Kyasanur forest, Shimoga district. But in the present days, the disease has been spreading to neighboring districts and states as well. So, this study involves estimation of codon bias among the gene C, gene E, gene prM, and gene NS5 of the KFD virus and rate of evolution with phylogenetic analysis. The codon usage analysis has revealed the moderate codon bias among all the selected genes and the role of mutation pressure in genes- C and E and natural selection in genes- prM and NS5. Also, the tMRCA age was 1942, 1982, 1975, and 1931 of genes- C, E, prM, and NS5, respectively, of the KFD virus. The integrated analysis of codon usage bias and evolutionary rate analysis signifies that both mutational pressure and natural selection among the selected genes of the KFD virus.

Planning for a neighborhood and city-scale green network system in Qatar: the case of MIA Park

In the past decade, Doha has witnessed fast-urban growth, an increased population rate, and an over-reliance on the automobile as the main mode of urban transportation. These factors caused social and environmental problems related to (1) the loss of a compact urban pattern, (2) an increased level of air pollution (3) high traffic congestions and (4) increasing landscape fragmentation. In consideration of such concerns, The State of Qatar invested large funds into the urban landscape development of Doha, as envisioned by Qatar National Vision 2030. As a result, in the past five years various parks and/or green areas, such MIA Park, a major public green space located around the Museum of Islamic Art (MIA), were planned and developed within metropolitan Doha. The authors argue that this park is currently facing issues and challenges related to (1) accessibility to/from the neighboring districts, and (2) connectivity to/from the neighboring parks. Therefore, this research study aims at assessing the existing conditions of MIA Park, at considering the broader city context and, at recommending strategies for implementing MIA Park’s green network system. It approached the investigative challenge using a multi-pronged comprehensive methodology, that deployed focus groups, semi-structured interviews and a comprehensive network analysis based on graph theory. The findings, revealed through these hybrid research tactics, allowed the researchers to generate a framework to enhance accessibility and connectivity of MIA Park through a green network system, planned at inter-related neighborhood-scale and city-scale levels. While the research examines most notably a single case, it is advocated that the proposed framework represents not just an optional feature pertaining to the case in Doha, but a valuable reference for the sustainable master planning of future cities in the State of Qatar and across the GCC. The paper proffers numerous key contributions, including the critical exploration of manufactured landscapes in Doha Qatar and the delineation of broadly applicable environmental design strategies to improve the fabric and livability of cities.

Recruiting and retaining school psychologists: The experiences of district level administrative supervisors

AbstractA shortage of school psychologists has been evident since the profession was initially recognized as a distinct field, and there is insufficient research on what current administrative supervisors are doing to address this problem. This qualitative study examined the perceptions of district level administrative supervisors regarding recruitment and retention of school psychologists. Participants reported the following: (a) school psychology graduate programs do not producing enough school psychologists, (b) administrators are challenged to find enough school psychologists to hire, (c) neighboring school districts compete to hire candidates, and (d) administrators recruit and retain in a worker's market that favors the school psychologist. These administrative supervisors also communicated a sense that they had little influence over the shortage. Actions within the administrators' control included developing close relationships with graduate programs for successful recruiting, creating appealing workloads that matched salaries, being responsive to the needs of their current school psychologists, and offering job flexibility.