Urban Land Research Articles

Evolutionary Game Analysis of the Government and Enterprises in the Low-Carbon Utilization of Urban Industrial Land: Evidence from China

Evolutionary Game Analysis of the Government and Enterprises in the Low-Carbon Utilization of Urban Industrial Land: Evidence from China

Towards a more realistic estimation of urban land take by combining cadastral parcels and building footprints

Despite its importance as a research issue, a widely accepted methodology of estimating land take resulting from urbanization has not yet been reached. Accurate geospatial datasets are currently available at a European and global level; however, different methods of quantifying urban land take could lead to diverse outputs, potentially resulting in underestimation. This can be alarming as encroaching urban sprawl is emerging as a major environmental challenge by destroying natural habitats, consuming productive agricultural land, and contributing to climate change by increasing energy demands. To address this knowledge gap, we propose an estimation of urban land take that combines cadastral parcels and building footprints. Land parcels can be considered as a suitable minimum mapping unit as they are directly related to the spatial level where economic decisions on land use conversion are made. The proposed geospatial method is compared to methods that depend on datasets of High Resolution Layer Imperviousness, Global Building Footprints (alone), Corine Land Cover, Urban Atlas, and Global Human Settlement Layer. The method is exemplified in case studies in Greece, specifically: (a) two islands of the South Aegean Region (Mykonos and Thera), that are heavily impacted by tourism development and sprawl and (b) a peri-urban zone (Thermaikos-Michaniona) within the metropolitan area of Thessaloniki, impacted by intense suburbanization. Results show that urban land consumes important shares of available land since the mid-20th century, this fact highlighting the dynamic encroachment of urban development. Calculation shows that other methods could underestimate urbanized areas by up to 80%–90%. In the discussion section, the advantages of shifting the focus from the pixel to the parcel are further justified, while explicit links to spatial planning policies for sprawl containment are drawn. Such policies could be informed by more realistic estimations of urban land take, in order to proceed with strategic and regulatory measures to support the ‘no net land take’ policy of Europe.

Developing water quality and land use surrogates to predict endocrine-disrupting chemical profiles in a highly urbanized river basin

This study investigated geospatial distributions of endocrine-disrupting chemicals (EDCs) in the waters of the Dongjiang River and their associations with anthropogenic activities. Fifteen EDCs, with total concentrations in the river water of 149–2525 ng/L were detected, with bisphenol-A, 4-nonylphenol, 4-tert-octylphenol, p-hydroxybenzoic acid, and methylparaben being the five predominant EDCs. The total estrogen concentration was high downstream and significantly correlated with the spatial distribution of urban land use, wastewater discharge, population, and gross domestic product, indicating human activities have increased estrogen levels and threatened ecological health. The total risk quotient indicated a high ecological risk of estrogens to fish and a moderate to high ecological risk of personal care products to algae. Estrone, triclosan, bisphenol-A, 4-nonylphenol, and 4-tert-octylphenol were categorized as priority pollutants, which required special concern. Triclosan and triclocarban can serve as reliable chemical indicators for predicting EDC levels based on correlation analysis. The crucial factors affecting EDC levels were identified through the Mantel test and predictor importance was quantified using a multiple regression model, which can help predict occurrences and geospatial distributions of EDCs. Total phosphorus and electrical conductivity were the major predictors of EDC levels, providing promising indicators for monitoring EDCs in river water. Urban land proportion significantly affected phenolic environmental estrogens, natural estrogens, and disinfectants. In the main stream, urban population, urbanization rate, and gross domestic product influenced phenolic environmental estrogen levels. A mini-review of the global distribution of EDCs in river water revealed that income and population differences among countries affect their occurrence, suggesting socioeconomic factors should be considered to mitigate EDC pollution.

Spatially explicit simulation and forecasting of urban growth using weights of evidence based cellular automata model in a millennium city of India

The present study focuses on quantifying and simulating the future urban growth based on the land use/land cover (LULC) data created from the Landsat images of the year 1999, 2011, and 2022. These LULC maps help in analysing the expansion of urban areas over the years and forecast their potential growth in the future. The spatio-temporal processes of urban growth are quantified, and future patterns are simulated and forecasted using Weights of Evidence based Cellular Automata model built in Dinamica EGO (Environment for Geoprocessing Objects) platform. The process of urban growth was manifested through prominent contributing factors of infill expansion namely, distance to built-up areas, distance to main roads, population density, and public services etc. The model's performance was evaluated using Kappa statistics and the percentage of correct prediction (PCP) based two-way comparison method. For this purpose, the simulated map was first compared with the observed information of year 2022 using Kappa indices followed by the PCP value (90.40%) exhibiting high predictive ability of the model. These findings corroborate that the model can forecast the future urban growth scenarios effectively with reasonable accuracy. Based on the outcomes, the forecasting of future urban growth scenarios for years 2033 and 2044 was accomplished. Analysis of the LULC changes displays that urban land use will experience the highest increase. Growth in the study area is predicted to increase by 23.5% and 26.7% in year 2033 and 2044 respectively where new urban settlements can appear. The results demonstrated that an integrated geospatial model provides essential information about the pattern, simulation, and prediction of urban growth associated with various driving variables.

Going with the food flow: The contribution of urban agriculture to a growing African city

ABSTRACT Sub-Saharan Africa's rapid urban growth is causing a decline in urban agricultural land, reducing access to healthy local food for citizens. This paper quantitatively and spatially describes the contribution of urban and peri-urban producers to the availability and accessibility of fresh leafy vegetables in the growing city of Dar es Salaam, Tanzania. Based on over 700 surveys with food vendors and consumers, as well as ethnographic research with farmers, we show how a total of 70 per cent of all amaranth consumed in Dar es Salaam was found to be produced within the city. With an average distance travelled from farm to fork of 11 km, leafy vegetables have a strongly localised foodshed. The results show the ongoing significance of urban areas in meeting their own food demands, emphasising the necessity to explicitly integrate food provisioning in the planning of growing African cities.

Measuring Change in Urban Land Consumption: A Global Analysis

An issue of concern in landscape and urban planning, articulated in the United Nation’s (UN’s) Sustainable Development Goals (SDGs), is the increase in urban land consumption over time. Indicator 11.3.1 of the SDGs is dedicated to measuring it, underlining the importance of decreasing urban land consumption per person, a strategy that is understood to contribute positively to climate mitigation and to a host of other social, economic, and environmental objectives. This article aims to explore the practical implications of the official methods for measuring Indicator 11.3.1, as well as two alternatives, and to calculate and compare the global and regional trends of these indicators for the 2000–2020 period for a universe of 3470 cities and metropolitan areas that had 100,000 people or more in the year 2020. Built-up area and population data for this universe were obtained from the Global Human Settlements Layer (GHS-BUILT-S and GHS-POP) published by the European Commission. We applied methods adapted from New York University’s Atlas of Urban Expansion to map the urban extents of all cities in 2000 and 2020, and then we used these urban extents, the built-up areas, and population estimates within them to calculate values for Indicator 11.3.1 and for two alternative indicators for the 2000–2020 period. We found that the current definition of Indicator 11.3.1 of the SDGs—“Ratio of land consumption rate to population growth rate”—has significant limitations in conveying meaningful information and interpretability for practical applications. We suggest two alternative indicators that address these shortcomings: the rate of change of land consumption per person and the rate of density change. Our analysis found that, for the world at large, urban densities declined at an annual rate of 0.5–0.7% between 2000 and 2020, with significant variation in the direction and magnitude of density trends by world region. Additionally, we found density declines to be faster in smaller cities than in larger ones and faster in cities with slower population growth or population declines compared to those with more rapid population growth.

Relationship between land urbanization and the ecosystem service value of land: evidence from Chinese land use

Relationship between land urbanization and the ecosystem service value of land: evidence from Chinese land use

Factors Influencing Peri-Urban Land Development in Ethiopia: Evidences from Assosa City

Like other developing countries, Ethiopia has adopted its land administration system (LAS) based on socio-economic, environmental, and administrative circumstances to allocate and use the land. However, the two ineffective lines of urban and rural land tenure guidelines and legal frameworks play a surprising strategic role in access to land and peri-urban land development. Comprehensive land policies are prospects for today's peri-urban areas to become tomorrow's huge cities. This paper aims to investigate the factors influencing peri-urban land development in Assosa Town and indicate the design of effective LAS. A mixed research approach was employed, and data was collected from both primary and secondary sources. The sample respondents were selected using purposive sampling techniques and descriptive and inferential statistical data analysis methods were employed. The findings revealed that bifurcated and ineffective legal and institutional frameworks, limited public-private participation, and technical constraints adversely affect peri-urban land development. The dichotomized land use development has neglected urban fringe areas and contributed to the prevailing negative peri-urban land developments. Development resulted with limited access to serviced land and deprived of land development permit. <i>Following this, peri-urban landholders became a crucial contributor to the development of peri-urban land in a negative manner.</i> Almost all sampled households developed their land contrary to the legal frameworks and standards. The estimated results of the binary logit model indicate that several factors influence peri-urban land development, including sex, monthly household income, access to official land and land information, land disputes, the alternative land development tool, and institutional integration. It is recommended to have an all-in-one land policy and administration strategy to promote sustainable development in the study area and beyond.

Can ecological zoning act as an environmental management tool for protecting regional habitat quality: Causal evidence from the national key ecological function zone in China

Habitat degradation is one of the most serious environmental problems worldwide, which threatens human wellbeing and sustainable development. Exploring how to protect natural habitats has become a research hotspot in the environmental management field. Ecological zoning has been widely used in habitat protection, but its actual effectiveness has been rarely revealed, especially with the robust and reliable causal inference method. Therefore, taking the Yangtze River Economic Belt (YREB) in China as the study area, we first quantified habitat quality and changes at the district/county scale during 2005–2019. Then, we used the National Key Ecological Function Zone (NKEFZ) as a representative ecological zone scheme, and explored the effectiveness of the NKEFZ in protecting habitat quality with the Propensity Score Matching and Difference-in-Difference combined method, which is a representative causal inference method. We found that habitat quality showed an uneven distribution during the study period, and habitat quality of districts/counties within the NKEFZ was higher than that outside the NKEFZ with statistical significance. Most districts/counties experienced a habitat quality decrease, but the decrease within the NKEFZ is less than that outside the NKEFZ. We observed that the NKEFZ can protect habitat quality from the causal relationship perspective, but there was the spatio-temporal heterogeneity of the NKEFZ effectiveness. In terms of the spatial dimension, the NKEFZ was the most effective in the Lower Reach of the YREB. In terms of the temporal dimension, there was a 1-year time-lag effect of the NKEFZ effectiveness, and NKEFZ effectiveness experienced a sharp increase from 2016. The NKEFZ contributed to protecting habitat quality through multiple management strategies such as urban land quota, high pollution industry prohibition, and ecological compensation. Overall, this study verified that the ecological zone scheme can contribute to habitat quality protection, and emphasizes that the effectiveness of ecological zoning may vary across time and space. This work can support ecological zoning implementation with robust evidence, and provides a novel perspective for understanding the effectiveness of ecological zoning.

Measuring ecological effects and policy mechanisms of urban land use transition – a case study of Xi'an, China

ABSTRACT Measuring ecological effects and policy mechanisms of urban Land Use Transition (LUT) is the key to understanding regional environmental changes and achieving sustainable urban developments. This paper illustrates and demonstrates a formal method for measuring the ecological effect of LUT characterized by Ecological Security Index (ESI) and Ecosystem Value (ESV), and enhanced with a correlational analysis between the ecological effect model and urban policy mechanism. Using Xi'an, a major capital city of western China as a case study, based on multi-temporal Thematic Mapper (TM) remote sensing images, Digital Elevation Model (DEM) and relevant statistical data, the results show that the method using ESI and ESV, together with the Land Use Transition Probability Matrix (LUTPM) can comprehensively measure the ecological effects of LUT process in Xi'an from 2000 to 2020. The results show that due to the impact of urban expansion, regional construction land increased significantly (by 67.07%), while farmland decreased considerably (by 13.12%). The farmland and forestland around the main urban area of Xi'an were centrally converted into construction land, yet the mutual transition of other types of land was relatively scattered. The total amount of ESV has slightly increased from 40.1 billion yuan to 42.8 billion yuan, and the proportion of ecological service function value presents a decreasing trend in regulation function (65%), support function (22%), supply function (9%), and cultural function (4%). The ESI value slightly decreased from 0.517 to 0.512, and overall it is still in a state of ecological security. The trend of ESV and ESI decreasing from mountainous areas to plains indicates that high-intensity human activities in plain areas have had a significant impact on the ecological environment. The correlation analysis between policy mechanisms and ecological effects indicates that ecological protection policies have improved the ecological environment and maintain ecological security (high ESV-high ESI mode), and may also have limited economic activities and been detrimental to the security of urban composite ecosystems (high ESV-low ESI mode). Spatial expansion policies have driven the rapid growth of construction land and threatened ecological security (low ESV-low ESI mode). Zoning adjustment policies have led to the transformation of ecological land to construction land, threatening ecological security and reducing ESV (low ESV-low ESI mode), and may also have promoted industrial upgrading and economic development, providing economic assurance for improving ecological security (low ESV-high ESI mode). These comprehensive findings provide valuable insights for understanding the ecological effects and policy mechanisms of LUT in Xi'an for achieving sustainable urban development, and demonstrate and explore a novel method to more appropriately and effectively measure LUT by combining ESV and ESI.

Human impacts mediate freshwater invertebrate community responses to and recovery from drought

Abstract Drought is an increasing risk to the biodiversity within rivers—ecosystems which are already impacted by human activities. However, the long‐term spatially replicated studies needed to generate understanding of how anthropogenic stressors alter ecological responses to drought are lacking. We studied aquatic invertebrate communities in 2500 samples collected from 179 sites on rivers emerging from England's chalk aquifer over three decades. We tested two sets of alternative hypotheses describing responses to and recovery from drought in interaction with human impacts affecting water quality, fine sediment, water temperature, channel morphology, flow and temporal change in land use. We summarized communities using taxa richness, an index indicating tolerance of anthropogenic degradation (average score per taxon, ASPT) and deviation from the average composition. Responses to drought were altered by interactions with human impacts. Poor water quality exacerbated drought‐driven reductions in taxa richness. Drought‐driven deviations from the average community composition were reduced and enhanced at sites impacted by flow augmentation (e.g. effluent releases) and flow reduction (e.g. abstraction), respectively. Human impacts altered post‐drought recovery. Increases in richness were lower at sites impacted by water abstraction and higher at sites with augmented flows, in particular as recovery trajectories extended beyond 3 years. ASPT recovered faster at sites that gained woodland compared to urban land, due to their greater recovery potential, that is, their lower drought‐driven minimum values and higher post‐drought maximum values. Synthesis and applications. We show that communities in river ecosystems exposed to human impacts—in particular poor water quality, altered flow volumes and land use change—are particularly vulnerable to drought. These results provide evidence that management actions taken to enhance water quality, regulate abstraction and restore riparian land use could promote ecological resilience to drought in groundwater‐dominated rivers such as globally rare chalk streams and other rivers of the Anthropocene, as they adapt to a future characterized by increasing climatic extremity.

Urban agrarian reform: opportunities and challenges for land rights among low-income communities

Agrarian reform has typically focused on the redistribution of land in rural areas, specifically targeting farmers and agricultural tracts of land. This study explores the potential for agrarian reform in urban settings and the challenges facing low-income individuals in acquiring land rights essential to adequate housing. Using statutory and theoretical perspectives demonstrates that ample opportunities still exist for urban agrarian reform to take hold via the expropriation of state-owned land and land whose rights have lapsed. Public land that has not been dedicated as a waqf or even recognized as government property and historic land rights where the building rights expired and without any application to extend those rights present empirical reform opportunities. Despite these opportunities, urban land rights remain a contested space. Many poor people live on untitled land because such a thing is considered disputed by public authorities. Conflicts arise from the physical duration of inhabitants' occupation, which is in severe contrast to claims found with entities holding either outdated or inadequate property documentation. The official bodies, particularly the Land Office, are hesitant to issue land certificates due to these conflicts. The uniqueness of this research lies in its focus on urban land reform and its implications for the poor, thus highlighting a gap in existing literature that focuses largely on rural settings. This important research study depends on the emerging need for appropriate and certain housing options in cities. The importance of this study to the discipline is that it fosters the application of national land law principles, namely equity, legal certainty, and practicality, to disputes over urban land, providing a framework for a fairer distribution of land rights.

The spatial impact of international reconstruction aid in the aftermath of the 2015 Gorkha earthquake

The 2015 Gorkha earthquake in Nepal caused significant property and life loss, triggering a large influx of international reconstruction aid. This paper investigates the spatial implications of this international aid, particularly in Lalitpur. It examines how aid from NGOs and bilateral and multilateral agencies affects urban spaces, including rent, land values, and infrastructure distribution. The study focuses on Wards hosting aid projects and personnel and compares these to earthquake-affected Wards without aid presence as a counterfactual.Two key points emerge: 1) The clustering of aid organization headquarters (operational presence) creates negative externalities, favoring a rentier class over equitable distribution of housing and infrastructure. 2) Aid-funded reconstruction projects (project presence) shift amenities and businesses, accelerating inequity in ways distinct from operational presence. Two Wards in Lalitpur show notable negative impacts, including rising rents, changes in small businesses, and a shift towards catering to the rentier class due to the effects of aid.The research provides policy recommendations for local governments and disaster management authorities in Nepal to address these unequal impacts. Recommendations include monitoring and evaluating aid effects over time, collaboration, and the promotion of transparency in urban development and fiscal resilience.

Effects of Industrial Structure on the Green Utilization Efficiency of Urban Land: A Case Study of the Bohai Rim Region, China

The green utilization of urban land is a critical component of regional high-quality development. Enhancing the green utilization efficiency of urban land (GUEUL) is of great significance to improving the quality of ecological environment and achieving a green lifestyle and low-carbon production. With the process of urbanization, the industrial structure is constantly adjusted, which has an impact on the structure and efficiency of urban land utilization. Taking 43 cities in the Bohai Rim region as an example, the super-efficiency slack-based measure model with undesirable outputs (super-SBM-undesirable model) was employed to evaluate the GUEUL from 2006 to 2021, and the panel quantile model was used to explore the impact of industrial structure on GUEUL. The results showed that the GUEUL in the Bohai Rim region appeared a fluctuating upward trend from 0.664 in 2006 to 0.837 in 2021. High-value zones shifted from western Liaoning province and southern Shandong province to a “C”-shaped belt around the coastline and expanded continuously, while low-value zones decreased significantly. Furthermore, the influence of industrial structure on GUEUL was significantly positive, but there were significant differences among different efficiency levels. Industrial structure upgrading exerted the most significant effect on GUEUL improvement in low-value zones, while industrial structure rationalization was dominant in high-value zones, and the influence of industrial structure technologization was more significant in medium-low-value zones. Therefore, differentiated industrial structure adjustment policies should be formulated based on the actual condition of each city to improve GUEUL.

Impactos Socioambientais em Assentamentos Urbanos Informais

Aim – Analyze, critically, the environmental licensing process of informal urban settlements, seeking to improve the instrument in a context of climate change. Methodology - This is a qualitative approach in which the documentary research method was used in environmental licensing processes of informal urban land subdivisions in the Federal District. Originality/relevance - There is a scarcity of studies investigating licensing in informal urban settlements. Considering that environmental licensing is required for activities that may cause socio-environmental damage and aims to mitigate or compensate for such damage, research that empirically evaluates the application of the instrument should be encouraged. Results - In general, environmental licensing in informal urban settlements has not been efficient, mitigation measures are not complied with, monitoring is unsatisfactory, there is a lack of indicators to measure urban environmental quality, and there is a lack of analysis of technological alternatives that consider climate projections and nature-based solutions. Theoretical/methodological contributions: Research on environmental licensing processes for informal urban settlements for low-income (ARIS) and high-income populations (ARINE) has contributed to complement the global literature, focused on investigating the mining and energy sectors. Comparative research on informal urban land subdivision in other socioeconomic contexts is recommended. Social and environmental contributions - Low-income settlements in ARIS are more vulnerable to socio-environmental risks and climate change than settlements in ARINE, requiring greater attention from managers to reduce this vulnerability.

Evaluation of Ecological Capability and Current Establishment of Industrial, Rural, and Urban Development Using GIS in Parts of Fars Province, Iran

Land utilization without considering suitability can lead to capital loss and environmental degradation. Effective land use planning is crucial for managing environmental resources. The present study in three counties of Fars Province in southern Iran confidently assessed the ecological capability for industrial, rural, and urban development. This study employed a rigorous methodology to examine six general criteria (physiography, soil, geology, vegetation, water, and climate) and 16 indicators linked to these criteria. The Iranian ecological model served as the foundation for this analysis. A Geographic Information System (GIS) was used to overlay ecological indicator layers and determine the final suitability map. Consequently, following the Law of Maximum Limitation and Boilen's logic between the indicators, the final suitability map was determined. The resulting map classified areas into nearly suitable and unsuitable. Furthermore, the study evaluated the current industrial, rural, and urban land uses by overlaying these layers on the ecological capability map. The findings revealed that a widespread area of urban, industrial, and especially rural areas is classified as unsuitable, highlighting the disregard for environmental capacity in land development. These critical findings emphasize the necessity of conscientious land use planning to mitigate environmental challenges stemming from rapid development.

The Relationship Between Three-Dimensional Spatial Structure and CO2 Emission of Urban Agglomerations Based on CNN-RF Modeling: A Case Study in East China

Good urban design helps mitigate carbon dioxide emissions and is important for achieving global low-carbon goals. Previous studies have mostly focused on the two-dimensional level of urban socio-economic activities, urban land use changes, and urban morphology, neglecting the importance of the three-dimensional spatial structure of cities. This study takes 30 cities in East China as an example. By using urban building data and carbon emission datasets, four machine learning algorithms, BP, RF, CNN, and CNN-RF, are established to build a CO2 emission prediction model based on three-dimensional spatial structure, and the main influencing factors are further studied. The results show that the CNN-RF model performed optimally in both the testing and validation phases, with the coefficient of determination (R2), root mean square error (RMSE), and residual prediction deviation (RPD) of 0.85, 0.82; 10.60, 22.32; and 2.53, 1.92, respectively. Meanwhile, in the study unit, S, V, NHB, AN, BCR, SCD, and FAR have a greater impact on CO2 emissions. This indicates a strong correlation between urban three-dimensional spatial structure and carbon emissions. The CNN-RF model can effectively evaluate the relationship between them, providing strategic support for spatial optimization of low-carbon cities.

Assessment of low impact development (LID) strategies under different land uses in an urban sub-catchment in the Philippines

Lack of studies in developing countries with tropical climate such as the Philippines limit local LID adoption. This study compared the performance of different LID scenarios across different urban land use types at the sub-catchment level using peak flow, runoff volume and flood reductions as performance criteria. Results showed that the most effective strategies for each land use are: 1) combined green roof and bioretention for low-density residential (reduction up to 10% peak flow, 11% runoff volume and 33% flood volume); 2) green roof for high-density residential (8% peak flow, 6% runoff volume and 18% flood volume); 3) combined rain barrel, bioretention and permeable pavement for industrial (23% peak flow, 41% runoff volume and 56% flood volume), and 4) combined vegetative swale and detention pond for urban open spaces (81% peak flow, 8% runoff volume and 84% flood volume). While effective for most low intensity storms, the observed sharp decrease in LID performance with increased rainfall intensity poses a major challenge, especially in the context of the Philippines frequented by high intensity storms. This study also examined how differences in land use characteristics influence LID performance, unlike most studies that focused on LID type comparisons. It showed that low urban density setting positively affected peak flow and flood reduction performance of rain barrels and green roofs, while good drainage infrastructure quality positively affected peak flow and flood reduction performance of rain barrels and bioretention. Decision-makers may use these findings to conduct rapid assessments on LID selection and siting, provided similarities between land use characteristics described in this study and those at their localities are justified. This can lead to increased LID adoption towards building water resilient, and sustainable cities.

Mapping of Pharmacies in Bandar Lampung Municipality: Nearest Neighbor Analysis and Overlay Approach

Background: Pharmacies should improve people's quality of life by providing pharmaceutical services. In this case, the distribution and accessibility of pharmacy facilities play an essential role.Objectives: This research aims to provide an overview of the distribution of pharmacies in Bandar Lampung municipality and analyze their distribution and accessibility.Methods: Non-experimental research with descriptive methods was conducted using spatial analysis. All population pharmacies in Bandar Lampung were selected as a sample, and their location was pointed using the Garmin Global Positioning System (GPS). Arc-Gis software was used for data analysis. A nearest-neighbor analysis was conducted to get a distribution pattern, and the pharmacies' density was calculated to obtain accessibility data. The overlapping approach was carried out to determine factors related to pharmacy distribution patterns.Results: Bandar Lampung municipality has 268 pharmacies spread across 20 districts. This research shows that the average density of pharmacies per 10,000 residents is 2.26. The highest pharmacy accessibility is in Sukarame, with a ratio of 4.07, and the lowest is in Bumi Waras, with a ratio of 0.62. The distribution of pharmacies is a clustered pattern (T value 0.55) and centralizes on collector roads, residential urban land use, and health facilities.Conclusion: The distribution of pharmacies is odd. They are distributed in a cluster pattern.

The urban air quality nexus: Assessing the interplay of land cover change and air pollution in emerging South Asian cities

Air quality degradation presents a significant public health challenge, particularly in rapidly urbanizing regions where changes in land use/land cover (LULC) can dramatically influence pollution levels. This study investigates the association between LULC changes and air pollution (AP) in the five fastest-growing cities of Bangladesh from 1998 to 2021. Leveraging satellite data from Landsat and Sentinel-5P, the analysis reveals a substantial increase in urban areas and sparse vegetation, with declines in dense vegetation and water bodies over this period. Urban expansion was most pronounced in Sylhet (22–254%), while Khulna experienced the largest increase in sparse vegetation (2–124%). Dense vegetation loss was highest in Dhaka (20–77%) and water bodies (9–59%) over this period. Concentrations of six major air pollutants (APTs) - aerosol index, CO, HCHO, NO2, O3, and SO2 - were quantified, showing alarmingly high levels in densely populated industrial and commercial zones. Pearson's correlation indicates strong positive associations between APTs and urban land indices (R > 0.8), while negative correlations exist with vegetation indices. Geographically weighted regression modeling identifies city centers with dense urban built-up as pollution hotspots, where APTs exhibited stronger impacts on land cover changes (R2 > 0.8) compared to other land classes. The highest daily emissions were observed for O3 (1031 tons) and CO (356 tons) at Chittagong in 2021. In contrast, areas with substantial green cover displayed weaker pollutant-land cover associations. These findings underscore how unplanned urbanization drives AP by replacing natural land cover with emission sources, providing crucial insights to guide sustainable urban planning strategies integrating pollution mitigation and environmental resilience.