Residential Areas Research Articles

Development of a predictive scoring system for vitamin D deficiency 'Vitamin D Deficiency Predicting Scoring (ViDDPreS)' based on the vitamin D status in young Japanese women: a nationwide cross-sectional study.

Vitamin D deficiency (VDD) is common among young women and causes various health problems, including those that occur during pregnancy and childbirth. Thus, we investigated the risk factors for VDD in young Japanese women and developed a simple risk scoring system called Vitamin D Deficiency Predicting Scoring (ViDDPreS). A cross-sectional study, using the following factors for multivariate logistic regression analysis to create the ViDDPreS score: residential area, season, cumulative ambient ultraviolet-B irradiation, BMI, vitamin D supplement use, sun exposure habits, frequency of habitual food intake and eating habits. The subjects were randomly divided into development and test sets for analysis. Serum 25-hydroxivitamin D concentration of less than 20 ng/ml was defined as VDD. Four regions (Hokkaido/Tohoku, Kanto, Chubu/Kinki/Shikoku and Kyushu/Okinawa) in Japan. Five hundred and eighty-three healthy women aged 18-40 years. In the development set, the VDD group (68·4 %) had higher proportions of the following variables than the non-VDD group: residential area outside the Kanto region; blood samples obtained in winter; low BMI (<18·5 kg/m2); vitamin D supplement non-users; short time regularly spent outside on weekdays; intake of fish, vitamin D-abundant fish, dried fish and redfish less than once a week. VDD risk was classified as low, medium or high according to the ViDDPreS scores including these contributing factors, with a test set C-index of 0·671. We identified the risk factors for VDD in young Japanese women and developed a simple risk scoring system that enables us to assess VDD risk and aid in the development of appropriate prevention and treatment strategies for this population.

Perceived tourism implicit conflict among community residents and its spatial variation

This study explores tourism implicit conflict and its spatial dynamics in rural China. It proposes that residents in different spatial structures within tourism communities perceive implicit conflicts differently. Data were collected through public participatory geographic information system (PPGIS) mapping and semi-structured interviews. The findings reveal that conflict perceptions vary by residential structures. Residents in core and peripheral areas experienced heightened economic and cultural conflicts. In contrast, those in expanded areas were more concerned with issues of tourism governance. The study also highlights two key spatial aspects of perceived conflict: internality, the overlap within their residential areas, and significant externality, which spreads across the entire ancient town. From a combined spatial and psychological perspective, this study proposes the concept of spatial relative deprivation to explain resident’s perceived tourism implicit conflict. This study affirms that qualitative-spatial analysis sheds light on socio-cultural phenomena, contributing to a more nuanced understanding of the underlying conflict mechanisms in a spatially explicit manner. The findings suggest that tourism planning should consider the intrinsic and micro-values of communities.

Assessment of knowledge, attitude and practice regarding blood donation among the residents in the urban field practice area of Bangalore Medical College and Research Institute: a community based cross sectional study

Assessment of knowledge, attitude and practice regarding blood donation among the residents in the urban field practice area of Bangalore Medical College and Research Institute: a community based cross sectional study

Research on the Management of Residents in Resettlement Communities in the Yellow River Beach Area: A Case Study of H Community in Jinan City

In recent years, China has attached great importance to the development of the Yellow River coastal areas and formulated many promotion policies for this purpose. The relocation and resettlement of residents in the Yellow River beach area is one of them. The implementation of this measure has enabled the people in the beach area to move out of the Yellow River coast in an orderly manner, ensuring the safety of residents and making their lives more convenient. At the same time, it also promotes the construction of new rural communities. H community is a typical community for relocation in Huanghe Beach District, Jinan City. This study conducted semi-structured interviews with residents of different identities and occupations in the H community, and conducted field research for a period of time to point out the governance status and difficulties of the H community. Based on the research, suggestions were proposed for similar communities and problems.

Marshes to mangroves: Residential surveys reveal perceived wetland trade-offs for ecosystem services

Coastal landscapes are rapidly changing due to both climate change and the decisions of waterfront landowners. For instance, the climate-driven encroachment of woody mangrove species into grassy marshland areas is predicted to impact coastal ecosystems, with consequences for the ecosystem services these landscapes provide to people. However, there is a dearth of knowledge concerning coastal resident perceptions of the effects of mangrove expansion on wetlands and their ecosystem services, which may impact residents’ behavior around shorelines and landscape-level patterns. We surveyed waterfront residents in the northern Gulf of Mexico (USA) to understand perceptions of the relative performance of marshes and mangroves to deliver fisheries ecosystem services. Residential-scale shoreline condition and preference, recreational fishing activity, geography, and demographics were evaluated as potential predictors of resident perceptions through non-parametric comparisons across groups and ordered logit modeling. Significant predictors included area of residence, marsh shoreline condition, marsh shoreline preference, fishing frequency, and household income. Florida residents (where mangroves are most prevalent) and frequent recreational fishing participants exhibited stronger preference for mangroves. Unexpectedly, residents with marsh currently present on their shoreline also perceived that mangroves were better at delivering fisheries ecosystem services than marshes. Considering the important role that coastal residents play in shoreline management decisions, these results demonstrate how coastal resident attitudes may drive or mediate climate-driven processes in ways that are not evident by examining environmental conditions alone. Understanding social-ecological shifts due to climate change will be important to inform effective landscape management that promotes resilience in coastal ecosystems and societies.

Association of social isolation and depressive symptoms with workplace productivity loss in a multi-ethnic Asian study

The association of health-related productivity loss (HRPL) with social isolation and depressive symptoms is not well studied. We aimed to examine the association of social isolation and depressive symptoms with productivity loss. Data on employed adults aged 21 years and above were derived from the Population Health Index (PHI) study conducted by the National Healthcare Group (NHG) on community-dwelling adults, residing in the Central and Northern residential areas of Singapore. The severity of depressive symptoms and social isolation were assessed using the 9-item Patient Health Questionnaire (PHQ-9) and Lubben Social Network Scale-6 (LSNS-6) respectively. Productivity loss was assessed using the Work Productivity and Activity Impairment Questionnaire (WPAI). We used Generalised Linear Models, with family gamma, log link for the analysis. Models were adjusted for socio-demographic variables (including age, gender, ethnicity, employment status, housing type) and self-reported chronic conditions (including the presence of diabetes, hypertension, and dyslipidemia). There were 2,605 working (2,143 full-time) adults in this study. The median reported percentage of unadjusted productivity loss was 0.0%, 10.0% and 20.0% for participants with social isolation, depressive symptoms, and both, respectively. In the regression analysis, mean productivity loss scores were 2.81 times (95% Confidence Interval: 2.12, 3.72) higher in participants with depressive symptoms than those without. On the other hand, social isolation was not found to be associated with productivity loss scores (1.17, 95% Confidence Interval: 0.96, 1.42). The interaction term of depressive symptoms with social isolation was statistically significant, with an effect size of 1.89 (95% Confidence Interval: 1.04, 3.44). It appeared that productivity loss was amplified when social isolation and depressive symptoms were concomitant. Our results suggested significant associations of social isolation and depressive symptoms with productivity loss. These findings highlighted the potential impact of social isolation and depressive symptoms on work performance and drew attention to the importance of having a holistic work support system that promotes social connectedness, mental wellbeing and work productivity.

Interrelations of Social, Physical and Symbolic Space – Assessing Residents’ Spatial Perceptions of Gentrifying Neighbourhoods with Multiple Factor Analysis

ABSTRACT Adopting a Bourdieusian perspective on the trialectic relationship between symbolic, social, and physical space, we assess how perceptions, evaluations, and expectations towards one’s surroundings interrelate and are associated with social status and physical location. We analyse survey data from two German neighbourhoods undergoing gentrification, arguing that in this process, residents of different class backgrounds and with different expectations towards their residential area live side-by-side. To reconstruct residents’ symbolic space of spatial perceptions, we apply multiple factor analysis (MFA) to several sets of variables on neighbourhood perception, and relate these to residents’ location in physical space (different neighbourhoods) and social space (socio-demographics). We find that differences between neighbourhoods in levels of social cohesion and disorder are the most important dimension in symbolic space, emphasizing the crucial role of social bonds in residents’ perception of their surroundings. Expectations towards neighbourhood change, the second dimension, are strongly influenced by socio-demographic characteristics.

Emission reduction planning for carbon footprint in rural residential life cycle under the low-carbon background

In the context of global low-carbon development, reducing rural residential carbon emissions is the key to implementing emission reduction policies. In order to reduce carbon emissions from rural housing, a carbon emission classification method based on residential life cycle assessment is proposed based on the characteristics of rural housing in China. Its innovation lies in achieving precise analysis of carbon emissions from multiple stages of residential design, construction, and use. Secondly, introducing a lifecycle based emission reduction planning strategy to achieve a new pattern of low-carbon emission reduction in rural residential areas. Taking a rural residential building as a case study, in the early stage of implementing emission reduction, the mean values of the initial carbon emissions corresponding to building energy consumption, energy consumption, and resident living habits were 689, 691, and 683, with standard deviations of 81, 79, and 84. After implementing emission reduction plans, the values decreased to 686, 674, and 631, respectively, with standard deviations reduced to 28, 32, and 13. It was evident that emission reduction planning not only significantly reduced the mean carbon emissions but also substantially decreases their variability, enhancing the stability of carbon emissions. This research contributed to a deeper understanding of the carbon emissions from rural residential life cycles and provides theoretical support and data references for the formulation and implementation of more scientific and effective emission reduction planning. Simultaneously, it promoted low-carbon development in rural areas of China, achieving a harmonious coexistence of economic and social development with environmental protection and contributing to global low-carbon development.

A two-stage location model covering COVID-19 sampling, transport and DNA diagnosis: design of a national scheme for infection control.

During the COVID-19 pandemic, a system was established in China that required testing of all residents for COVID-19. It consisted of sampling stations, laboratories capable of carrying out DNA investigations and vehicles carrying out immediate transfer of all samples from the former to the latter. Using Beilin District, Xi'an City, Shaanxi Province, China as example, we designed a genetic algorithm based on a two-stage location coverage model for the location of the sampling stations with regard to existing residencies as well as the transfer between the sampling stations and the laboratories. The aim was to estimate the minimum transportation costs between these units. In the first stage, the model considered demands for testing in residential areas, with the objective of minimizing the costs related to travel between residencies and sampling stations. In the second stage, this approach was extended to cover the location of the laboratories doing the DNAinvestigation, with the aim of minimizing the transportation costs between them and the sampling stations as well as the estimating the number of laboratories needed. Solutions were based on sampling stations and laboratories existing in 2022, with the results visualized by geographic information systems (GIS). The results show that the genetic algorithm designed in this paper had a better solution speed than the Gurobi algorithm. The convergence was better and the larger the network size, the more efficient the genetic algorithm solution time.

Hygienic characteristics of changes in the nutritional status of adult population in the Omsk region during the implementation of Demography national project

Aim. To evaluate changes in nutritional status parameters among the adult population of the Omsk region during.Materials and Methods. The comparison of nutritional status parameters was conducted as a part of an experimental epidemiological study using a "before-after" design. The intervention consisted of activities carried out in the region from 2019 to 2023 under the federal project "Strengthening Public Health." In 2018, a representative sample (n = 241) was formed, stratified by age, gender, and residential area; in 2023, a similar sample (n = 506) was used. Nutritional status was assessed using somatometric, clinical, and laboratory methods.Results. We have documented a significant reduction in the prevalence of severe obesity (grades II-III, from 7.1 ± 1.1% to 2.4 ± 0.9%), and a trend towards a decrease in prevalence of underweight (from 5.4 ± 1.4% to 3.0 ± 0.8%; p = 0.078). In 2023, the proportion of individuals with overweight was 36.0 ± 2.1%, and 16.4 ± 2.4% of the adult population suffered from obesity. The prevalence of micronutrient deficiencies decreased significantly (p &lt; 0.001). In 2023, deficiencies in vitamin D (61.8 ± 1.7%), folates (50.0 ± 3.2%), vitamins B1 (26.6 ± 2.8%), B6 (36.7 ± 3.1%), and E (28.5 ± 2.9%), magnesium (32.0 ± 2.0%), zinc (27.2 ± 2.8%), copper (36.0 ± 3.1%), iron (25.0 ± 1.7%), and selenium (31.2 ± 3.9%) were the most common. Compared to 2018, the prevalence of deficiencies in vitamins D, E, B1, B6, and folates significantly decreased (p &lt; 0.05), while the provision of essential elements remained unchanged.Conclusion. The prevalence of various nutritional disorders among the adult population of the Omsk region reduced, as the implementation of the federal project «Strengthening Public Health» under the national project "Demography" improved the provision of vitamins.

Driving factors of the distribution of microplastics in the surface soil of the typical uninhabited and habited areas in the Qinghai–Tibet plateau, China

Microplastics (MPs) are widely detected in the soil of the Qinghai–Tibet Plateau with increasing economic activities. However, studies concerning the driving factors affecting the presence of these surface soil MPs for the typical regions with different geographic conditions are still lacking. Here we chose three representative regions (Ali, Yushu, and Haixi) from east to west across the plateau to investigate the distribution and further explore the contributing factors of surface soil MPs. The Spearman rank correlation, Geodetector, Random Forest Regression and Principal Component Analysis were used to unveil how the driving factors influence MPs distribution across the plateau. The results revealed that the MPs abundance, type, size, color and polymer across the Ali, Yushu, and Haixi were different. Microplastic abundance was inversely correlated with the distance from roads and residential areas, but was positively related to precipitation. Moreover, traffic elements were the primary source of MPs pollution in the Ali and Yushu but residential activities were the leading source of MPs contamination in the Haixi. Besides, backward trajectory simulations suggested that atmospheric transport may also contribute to the presence of soil MPs in the representative regions. These results further indicated that different regions may require different measures for controlling MPs pollution in surface soil. This study provides new insights into the distribution and source of MPs and further offers valuable methodology for future research aimed at uncover driving factors contributing MPs pollution across different regions with various geographical conditions.

Metal Analysis of Leachate from the Organic Fraction of Urban Solid Waste (MSW) from the Municipality of Belém/PA

In this study, the analysis of metals in the solubilized extract of the organic fraction of Urban Solid Waste (MSW) from the municipality of Belém do Pará was carried out. The waste used in this research was collected in residential areas, through door-to-door collection, with the points and neighborhoods served in the municipality of Belém determined by the sectorization of these locations, with family income as the main parameter. The MSW was collected and transported to the segregation area. Gravimetric analysis of MSW was carried out and the selected organic and paper fractions were subjected to drying, crushing and sieving pre-treatment. Next, the solubilized extract of the organic fraction of MSW was obtained following the method set out in NBR nº 10.006/2004 of the Brazilian Association of Technical Standards. The values obtained were compared with CONAMA Resolutions n° 357/2005, 396/2008 and 430/2011, in addition to being compared with results of bibliographical research. The results indicated that these wastes do not comply with environmental and health regulations. Although a highly significant association was found between chromium and boron through Pearson’s correlation, the remaining strong correlations between other elements did not reach statistical significance. Furthermore, a similarity was observed in the solubilization conditions of these wastes with those found in landfill leachate.

Automating urban soundscape enhancements with AI: In-situ assessment of quality and restorativeness in traffic-exposed residential areas

Formalized in ISO 12913, the “soundscape” approach is a paradigmatic shift towards perception-based urban sound management, aiming to alleviate the substantial socioeconomic costs of noise pollution to advance the United Nations Sustainable Development Goals. Focusing on traffic-exposed outdoor residential sites, we implemented an automatic masker selection system (AMSS) utilizing natural sounds to mask (or augment) traffic soundscapes. We employed a pre-trained AI model to automatically select the optimal masker and adjust its playback level, adapting to changes over time in the ambient environment to maximize “Pleasantness”, a perceptual dimension of soundscape quality in ISO 12913. Our validation study involving (N=68) residents revealed a significant 14.6% enhancement in “Pleasantness” after intervention, correlating with increased restorativeness and positive affect. Perceptual enhancements at the traffic-exposed site matched those at a quieter control site with 6dB(A) lower LA,eq and road traffic noise dominance, affirming the efficacy of AMSS as a soundscape intervention, while streamlining the labour-intensive assessment of “Pleasantness” with probabilistic AI prediction.

Study on the elderly's perception of microclimate and activity time in residential communities

The significance of outdoor environment is increasingly being recognized, particularly for the elderly. Using residential community green spaces is beneficial for their physical and mental health. This study aims to explore the thermal comfort, usage patterns, and microclimate preferences of the elderly through environmental factors and demographic information. Field measurements and questionnaire surveys were conducted across 19 residential communities in 3 cities within Building Climate Zone II in China during the summer. Descriptive and logistic regression analyses were employed to examine various factors related to the elderly's thermal comfort, duration of activity, and microclimate preferences. The study revealed that elderly residents in communities of various types experience different thermal comfort levels and have different durations of activity and preferences for microclimates. In addition, elderly adults with longer activity durations are less likely to prefer windless, drier, and more sunlight environments in the summer. Built environmental factors, personal factors, and features of public facilities were also found to have an impact on thermal comfort and activity. These empirical findings provide urban planners with insights to better cater to the needs of the elderly in residential area design, emphasizing the importance of considering thermal comfort and microclimate preferences in the planning process.

Analysis of landscape structure changes in Marmara Lake and its surrounding area using remote sensing data

This study investigates temporal changes in the landscape structure of Lake Marmara (Gölmarmara, Manisa, Türkiye), a designated bird sanctuary and registered wetland, over 10 years period using remote sensing techniques. The analysis employed the Normalized Difference Vegetation Index (NDVI) on satellite imagery from 2015 and 2024, processed through the ArcGIS/ArcMap software, to assess landscape metrics within the study area. The Normalized Difference Water Index (NDWI) was also utilized to evaluate the interactions between the water body, wetlands, and their surroundings. The findings were further supported by surface temperature analysis (STA) and comparative data. NDVI analysis revealed a 39.38% reduction in the Lake Marmara water body, an 11.09% decrease in forested areas, and an 8.28% decline in tree/shrub areas over 10 years. The dominant tree species in the forest vegetation was Pinus brutia, while other prevalent species included Quercus coccifera, Cistus creticus, Pistacia terebinthus, Pistacia lentiscus, Arbutus andrachne, Arbutus unedo, Olea europaea, Erica arborea, Phillyrea latifolia, and Sarcopoterium spinosum. Conversely, residential areas expanded by 21.21%, and agricultural areas increased by 4.11%. NDWI analysis indicated a 14.46% reduction in moderately dry areas and a 41.92% increase in dry areas. Furthermore, surface temperature data showed an increase over the 10 years. This study is expected to contribute significantly to the field by providing insights into sustainable land use and planning strategies. It offers a comprehensive perspective on wetland management and conservation of biological diversity by elucidating the temporal and spatial relationships between wetlands and their environment, considering both ecological and anthropogenic factors.

Main contents and revision direction of the Urban Complex Development Act

The Act on Support for Urban Complex Development was enacted and promulgated on February 6, 2024. It is scheduled to take effect on February 7, 2025. This new law encourages private project implementers to actively participate in urban complex development, unlike the urban public housing complex project (under the public housing special law) that was introduced in accordance with the government’s plan to drastically expand the supply of 3080+ publicly led metropolitan housing announced on February 4, 2021. The urban public housing complex project is a system designed to establish a new business model for station areas, semi-industrial areas, and low-rise residential areas that are underutilized and aging because of difficulties with redevelopment and reconstruction projects. Public institutions have become project implementers instead of existing cooperative-centered redevelopment and reconstruction projects. The urban public housing complex project is a development project that utilizes comprehensive acquisition (including land expropriation) to quickly promote the project and supply new buildings in the form of compensation in kind if the landowner so desires. However, the complex development project introduced in the Act on Support for Urban Complex Development differs significantly from the plan described above in that the private sector, including landowners, trustees, and real estate investment trusts (REITs), become the main project implementers, promoting the project by utilizing management, disposal plans, and sales claims. In this article, I examine the concept and characteristics of complex development projects, procedures, and special provisions for these projects and identify problems and revision directions for relevant laws. Since complex development projects utilize management, disposal plans, and sales claims as business methodsand the project target is an urban area with a high concentration of old and substandardbuildings, I describe such projects by comparing them with the provisions of the Urban and Housing Environment Improvement Act, which regulates redevelopment and reconstruction projects. Finally, I suggest that necessary actions to smoothly implement complex development projects include securing differentiation from other development projects, supplementing specific provisions on REITs as the newly introduced project implementers, and improving the sales claim system and consent rate centered on land area.

Epidemiological investigation of allergic rhinitis in children aged 6-12 years in Bayannur City, China.

Allergic rhinitis (AR) is an inflammatory condition of the nasal mucosa triggered by exposure to non-harmful substances. Over the past decade, the prevalence of AR in Chinese children has been steadily increasing. However, detailed epidemiological data on AR in children from Bayannur City are lacking. This study randomly selected six primary schools in Bayannur City. Electronic questionnaires were distributed via the web, and parents and children completed the questionnaires by scanning the two-dimensional code within a designated timeframe. Statistical analysis was performed on the collected data. A total of 4,754 valid responses were obtained. The self-reported prevalence of AR among children in Bayannur city was 39.79%. Multivariate analysis revealed that male gender, belonging to an ethnic minority, a history of food or drug allergies, frequent antibiotic use (≥3 times per year in the past two years, with each course lasting ≥3 days), and residence in urban or pastoral areas was associated with an increased prevalence of AR in children. The proportion of children experiencing moderate to severe AR hat impacted their studies or daily life was 48.78%. Chronic AR was reported in 56.71% of cases. Among AR patients with other allergic conditions, the incidence rates were as follows: bronchial asthma 35.99%, upper airway cough syndrome (UACS) 64.32%, secretory otitis media (SOM) 22.41%, obstructive sleep apnea hypopnea-syndrome (OSAHS) 49.58%, allergic dermatitis (AD) 48.72%, and allergic conjunctivitis (AC) 85.20%. The prevalence of AR was 50.30% in urban areas, 13.733% in rural areas and 20.90% in pastoral areas. Seasonal effects on AR prevalence were notably significant in urban and pastoral regions. The prevalence of AR among children in Bayannur city was 39.80%. Of those with AR, 48.72% experienced significant impacts on their learning or daily life, while only 14.80% had no other allergic conditions. There were significant variations in the prevalence and onset of AR among children between urban, agricultural and pastoral areas.

Jobs-Housing Balance Dimension in the New Resettlement Areas Affected by the Hydropower Construction Project Case of: Samavkhyxay Village, Xieng Ngeun District, Luang Prabang Province

This study was conducted in Samackhysay Village, Xiengngun District, Luang Prabang Province, emphasizing the dimension of jobs-housing balance in the new resettlement areas of residents affected by the hydropower construction project and the resettlement process. 655 households have been moved from 10 villages. The methodology of the study employed a questionnaire with 250 households. The quantitative and qualitative approaches have been utilized with Binary Logistic Model in order to examine the relationships between housing and workplaces/balancing dimensions. Results of this study revealed that after the resettlement was completed, there are some positive and negative impacts illustrated, for instance, the community-level infrastructure has been updated with roads, schools, clinics, electricity, and water supply for the positive manners. Regarding the negative image, people are hard adapting to the new environment, the shortage of agricultural land and workplaces have been located far away from their residences, and their expenses increased with their longer trips to workplaces. The results also confirmed that the imbalance factor between jobs-housing is a crucial dimension of the resettlement of new locations. The Logistic Model revealed some critical issues regarding the inequalities of ethnicity, location of the original village, level of education, occupation, distance to the workplace, income, and conditions of homes and vehicles. The obvious change is that new occupations in the new resettlement area are workers compared to farmers. The outcomes of the study can be used as a guideline for creating a balance between housing and workplaces, especially the allocation of agricultural areas and the provision of occupations that are appropriate for the people to create a balance, to become the model village for the development and sustainability in the future.

Shrinkage Does Not Follow Population Decline on a Regional Scale: Planning and Reality of Residential Area in Japan

This study first examines changes in the amount of residential area on a regional scale, which is said to shrink following population decline, using Japan as an example, where population decline is already underway in most of the country. Second, it examines how the regional governments have set future targets for residential areas and whether these targets are consistent with the current trend. Third, it examines how prefectures, Japan’s regional governments, are responding to this situation through regional land use planning. The methodologies of the paper are a combination of collecting and sorting out the related data, reviewing and extracting information from planning documents, and conducting interviews with persons in charge. In conclusion, residential areas have continued to increase on a regional scale, even as the population has declined. Shrinkage does not follow population decline on a regional scale. It was also found that the amount of residential area changed more closely with the change in households than with the population. National and regional land use plans generally set targets for more shrinkage than the actual trend. The underestimation of the amount of residential area was due to the rapid decline in the number of persons per household. Cases of the three prefectures showed that specific control is left to the individual acts, while the measures are indicated in the wording by the prefectural land use plans.

Case Article—Optimizing Transportation and Equity in a District Zoning Problem for ORville Public Schools

This case asks students to solve a multiobjective optimization decision problem applied to school district zoning. In the case, residential areas in a school district must be assigned to middle schools having capacity limits. The operational considerations on the decision are the weighted distances traveled between students’ residences and their assigned middle school campuses. The ethical considerations pertain to equity in education and are measured using the numbers of economically disadvantaged students assigned to each middle school. This problem, including its two objectives, is motivated by a real zoning problem faced by a school district. Publicly available data from the school district and its rezoning efforts are used to populate the case. To complete the case, students model and solve an optimization problem both with and without the ethical considerations included. In doing so, they observe how ethical considerations can change the outputs generated by the optimization model. Evidence is provided from student surveys to indicate how completion of the case impacts perceptions of the importance of and understanding of how to include ethical considerations in optimization modeling. Results indicate statistically significant increases in those perceptions. Supplemental Material: The Teaching Note and DataAndMetricsDemo Excel workbook are available at https://www.informs.org/Publications/Subscribe/Access-Restricted-Materials .