Major Urban Centers Research Articles

Exploring the influence of building form parameters on three-dimensional ventilation potential in urban centers: A case study of Nanjing, China

In urban areas, variations in the functional usage of buildings or their clusters directly influence the 2D/3D morphology of buildings which can lead to changes in the ventilation potential (VP) at different heights, but there is a lack of refined quantitative relationship analysis between 3D building form parameters (BFPs) and VP at different heights within a certain urban area. The objective of our study is to obtain simulated wind field data from different heights, considering distances from roads, and transverse and longitudinal sections. We employ partial correlation analysis, simple correlation analysis, and Geographic detectors to uncover the extent and mechanisms of the influence of BFPs on the ventilation effectiveness of neighborhoods in a major urban center in China, specifically Nanjing. The findings demonstrate that, at all heights, there is an inverse relationship between wind speed and building density (BD), with the location of higher wind speed generally aligning with the intersection points. The correlation coefficients between BD and simulated wind speed are 0.040 (1.5 ​m), −0.475 (10 ​m), and −0.314 (30 ​m), while the correlation coefficients between building height (BH) and simulated wind speed are 0.237. However, no significant correlation is observed between floor area ratio (FAR) and simulated wind speed. Geographic detector analysis reveals differences in the correlation between BFPs and simulated wind speed at different heights within various building functional areas. Our study provides some practical information for urban planners and designers to carry out wind sensitivity and adaptation planning and urban design.

Spatiotemporal Variations of Urban Spatial Dispersion and Its Vegetation Degradation in Joglosemar’s Urban Growth Corridors, Indonesia

ABSTRACT Indonesia has several expanding metropolitan regions, such as the Joglosemar Urban Region. The Joglosemar Urban Region includes three major urban growth centres – the Semarang Metropolitan Region (SMR), the Surakarta Urban Region (SUR), and the Yogyakarta Urban Region (YUR) with three urban growth corridors connecting them. Urban growth corridors cover areas crossed by the main road network linking urban growth centres. Rapid and uncontrolled urban development can endanger environmental sustainability along the corridors. This study compares the three urban growth corridors within the Joglosemar Urban Region – the SMR-SUR, the SUR-YUR, and the SMR-YUR. It examines the spatiotemporal variations of urban compactness and urban vegetation degradation. This study uses Landsat Satellite Imagery from 2001, 2008, 2015, and 2022. The index-based calculation was employed to obtain the built-up area change, urban compactness, and vegetation degradation. The most dispersed urban areas observed had the greatest vegetation degradation. Among the three urban growth corridors, the SMR-SUR corridor recorded the highest vegetation degradation of −0.21, with an increase in compactness index of 0.02. Vegetation greenness is significantly reduced along urban expansion corridors with high spatial dispersion. Our assessment offers new insight to inform the government in enacting policy changes to control urban growth and its sustainability.

Convolutional Neural Networks Facilitate Process Understanding of Megacity Ozone Temporal Variability.

Ozone pollution is profoundly modulated by meteorological features such as temperature, air pressure, wind, and humidity. While many studies have developed empirical models to elucidate the effects of meteorology on ozone variability, they predominantly focus on local weather conditions, overlooking the influences from high-altitude and broader regional meteorological patterns. Here, we employ convolutional neural networks (CNNs), a technique typically applied to image recognition, to investigate the influence of three-dimensional spatial variations in meteorological fields on the daily, seasonal, and interannual dynamics of ozone in Shenzhen, a major coastal urban center in China. Our optimized CNNs model, covering a 13° × 13° spatial domain, effectively explains over 70% of daily ozone variability, outperforming alternative empirical approaches by 7 to 62%. Model interpretations reveal the crucial roles of 2-m temperature and humidity as primary drivers, contributing 16% and 15% to daily ozone fluctuations, respectively. Regional wind fields account for up to 40% of ozone changes during the episodes. CNNs successfully replicate observed ozone temporal patterns, attributing -5-6 μg·m-3 of interannual ozone variability to weather anomalies. Our interpretable CNNs framework enables quantitative attribution of historical ozone fluctuations to nonlinear meteorological effects across spatiotemporal scales, offering vital process-based insights for managing megacity air quality amidst changing climate regimes.

Investigation of Vibration Characteristics during Various Building Construction Stages under Train Operations

In response to land use challenges, major urban centers have started implementing over-track building constructions above metro lines as a means of accommodating residents and workers. However, the continuous operation of trains can generate excessive vibrations that may negatively impact the overall living conditions for occupants residing in these structures. In this paper, vibration measurements were conducted on the soil and within a three-story frame structure building. Additionally, a three-dimensional finite element model of the track–soil–building was established. The wheel–rail contact force was incorporated as a dynamic load that varies with time to accurately simulate the vibration response induced by trains. According to the construction process of the over-track building, four construction stages were set up using the finite element model to study the impact of the construction stages on the vibration propagation from the soil to building structure. The results indicate that the presence of existing structures exerts a mitigating influence on soil vibrations. Pile foundation construction can effectively mitigate soil vibration to a significant extent. The findings provide references for the future development and design of over-track buildings.

Enhancing Urban Mobility with Self-Tuning Fuzzy Logic Controllers for Power-Assisted Bicycles in Smart Cities.

In smart cities, bicycle-sharing systems have become an essential component of the transportation services available in major urban centers around the globe. Due to environmental sustainability, research on the power-assisted control of electric bikes has attracted much attention. Recently, fuzzy logic controllers (FLCs) have been successfully applied to such systems. However, most existing FLC approaches have a fixed fuzzy rule base and cannot adapt to environmental changes, such as different riders and roads. In this paper, a modified FLC, named self-tuning FLC (STFLC), is proposed for power-assisted bicycles. In addition to a typical FLC, the presented scheme adds a rule-tuning module to dynamically adjust the rule base during fuzzy inference processes. Simulation and experimental results indicate that the presented self-tuning module leads to comfortable and safe riding as compared with other approaches. The technique established in this paper is thought to have the potential for broader application in public bicycle-sharing systems utilized by a diverse range of riders.

Where we live matters: a comparison of chronic pain treatment between remote and non-remote regions of Quebec, Canada.

Where a person lives is a recognized socioeconomic determinant of health and influences healthcare access. This study aimed to compare the pain treatment profile of persons with chronic pain (CP) living in remote regions to those living in non-remote regions (near or in major urban centers). A cross-sectional study was performed among persons living with CP across Quebec. In a web-based questionnaire, participants were asked to report in which of the 17 administrative regions they were living (six considered "remote"). Pain treatment profile was drawn up using seven variables: use of prescribed pain medications, over-the-counter pain medications, non-pharmacological pain treatments, multimodal approach, access to a trusted healthcare professional for pain management, excessive polypharmacy (≥10 medications), and use of cannabis for pain. 1,399 participants completed the questionnaire (women: 83.4%, mean age: 50 years, living in remote regions: 23.8%). As compared to persons living in remote regions, those living in non-remote regions were more likely to report using prescribed pain medications (83.8% vs. 67.4%), a multimodal approach (81.5% vs. 75.5%), experience excessive polypharmacy (28.1% vs. 19.1%), and report using cannabis for pain (33.1% vs. 20.7%) (bivariable p < 0.05). Only the use of prescribed medications as well as cannabis remained significantly associated with the region of residence in the multivariable models. There are differences in treatment profiles of persons with CP depending on the region they live. Our results highlight the importance of considering remoteness, and not only rurality, when it comes to better understanding the determinants of pain management.

Trans-boundary spatio-temporal analysis of Sentinel 5P tropospheric nitrogen dioxide and total carbon monoxide columns over Punjab and Haryana Regions with COVID-19 lockdown impact.

This study conducts a spatio-temporal analysis of tropospheric nitrogen dioxide (NO2) and total carbon monoxide (CO) concentrations in the Punjab and Haryana regions of India and Pakistan, using datasets from the Sentinel 5-Precursor (S5P) satellite. These regions, marked by diverse economic growth factors including population expansion, power generation, transportation, and agricultural practices, face similar challenges in atmospheric pollution, particularly evident in major urban centers like Delhi and Lahore, identified as pollution hotspots. The study also spotlights pollution associated with power plants. In urban areas, tropospheric NO2 levels are predominantly elevated due to vehicular emissions, whereas residential activities mainly contribute to CO pollution. However, precisely attributing urban CO sources is complex due to its longer atmospheric residence time and intricate circulation patterns. Notably, the burning of rice crop residue in November significantly exacerbates winter pollution episodes and smog, showing a more pronounced correlation with total CO than with tropospheric NO2 levels. The temporal analysis indicates that the months from October to December witness peak pollution, contrasted with the relatively cleaner period during the monsoon months of July to September. The severe pollution in the OND quarter is attributed to factors such as variations in boundary layer height and depletion of OH radicals. Furthermore, the study highlights the positive impact of the COVID-19 lockdown on air quality, with a significant decrease in NO2 concentrations during April, 2020 (Delhi: 59%, Lahore: 58%). However, the reduction in total CO columns was less significant. The study also correlates lockdown stringency with tropospheric NO2 columns (R2: 0.37 for Delhi, 0.25 for Lahore, 0.22 for Rawalpindi/Islamabad), acknowledging the influence of various meteorological and atmospheric variables. The research highlights the significant impact of crop residue burning on winter pollution levels, particularly on total CO concentrations. The study also shows the notable effect of the COVID-19 lockdown on air quality, significantly reducing NO2 levels. Additionally, it explores the correlation between lockdown stringency and tropospheric NO2 columns, considering various meteorological factors.

Augmented human thermal discomfort in urban centers of the Arabian Peninsula

Anthropogenic climate change has amplified human thermal discomfort in urban environments. Despite the considerable risks posed to public health, there is a lack of comprehensive research, evaluating the spatiotemporal changes in human thermal discomfort and its characteristics in hot-hyper arid regions, such as the Arabian Peninsula (AP). The current study analyzes spatiotemporal changes in human thermal discomfort categories and their characteristics in AP, using the newly developed high-resolution gridded ERA5-HEAT (Human thErmAl comforT) dataset for the period 1979–2022. In addition, the study assesses the interplay between the Universal Thermal Climate Index (UTCI) and El Niño-Southern Oscillation (ENSO) indices for the study period. The results reveal a significant increase in human thermal discomfort and its characteristics, with higher spatial variability in the AP region. The major urban centers in the southwestern, central, and southeastern parts of AP have experienced significant increases in human thermal discomfort (0.4–0.8 °C), with higher frequency and intensity of thermal stress during the study period. The temporal distribution demonstrates a linear increase in UTCI indices and their frequencies and intensities, particularly from 1998 onward, signifying a transition towards a hotter climate characterized by frequent, intense, and prolonged heat stress conditions. Moreover, the UTCI and ENSO indices exhibit a dipole pattern of correlation with a positive (negative) pattern in the southwestern (eastern parts) of AP. The study’s findings suggest that policymakers and urban planners need to prioritize public health and well-being in AP’s urban areas, especially for vulnerable groups, by implementing climate change adaptation and mitigation strategies, and carefully designing future cities to mitigate the effects of heat stress.

Development of an evidence-based diagnostic algorithm for infection in patients with transcutaneous osseointegration following amputation.

Introduction: Transcutaneous osseointegration following amputation (TOFA) confers better mobility and quality of life for most patients versus socket prosthesis rehabilitation. Peri-TOFA infection remains the most frequent complication and lacks an evidence-based diagnostic algorithm. This study's objective was to investigate preoperative factors associated with positive intraoperative cultures among patients suspected of having peri-TOFA infection in order to create an evidence-based diagnostic algorithm. Methods: We conducted a retrospective study of 83 surgeries (70 patients) performed to manage suspected lower-extremity peri-TOFA infection at a specialty orthopedic practice and tertiary referral hospital in a major urban center. The diagnosis of infection was defined as positive intraoperative cultures. Preoperative patient history (fevers, subjective pain, increased drainage), physician examination findings (local cellulitis, purulent discharge, implant looseness), and laboratory data (white blood cell count, C-reactive protein (CRP), erythrocyte sedimentation rate (ESR), and external swab culture) were evaluated for association with subsequent positive intraoperative cultures using regression and area under receiver-operator curve (AUC) modeling. Results: Peri-implant limb pain (highly correlated with infection), ESR (highly correlated against infection), positive preoperative swab (moderately correlated with infection), gross implant motion (moderately correlated against infection), and erythema or cellulitis of the transcutaneous region (mildly correlated with infection) were variables included in the best AUC model, which achieved an 85 % positive predictive value. Other clinical findings and laboratory values (notably CRP and WBC) were non-predictive of infection. Conclusions: This seminal investigation to develop a preoperative diagnostic algorithm for peri-TOFA infection suggests that the clinical examination remains paramount. Further evaluation of a wider spectrum of clinical, laboratory, and imaging data, consistently and routinely collected with prospective data techniques in larger cohorts of patients, is necessary to create a robust predictive algorithm.

Experiences of Parents of Trans and Non-Binary Children Living in the Region of Quebec

The coming out process differs for everyone, and parents may experience difficulties such as external stress, ostracism and finding local services. Access to resources is, therefore, fundamental, and parents need support in accompanying their children. Methods: This research was carried out in two waves. Firstly, data collection began with parents of TNB children living in the Gaspésie, Bas-Saint-Laurent and Îles-de-la-Madeleine regions, who participated in five group meetings. Secondly, nine in-depth interviews were conducted with parents living in the province of Quebec, outside major urban centres. Results: This article presents the synergy between the two waves of data collection. The results show that parents report various experiences of vulnerability in the process of accepting their children’s gender identity. Despite this, the families we met provided their children with unconditional support to help them navigate various service structures. Conclusions: Although parents of TNB children living in regional areas face similar difficulties to their urban peers, the lack of resources and access to services limits their options, contributing to their isolation. As a result, these parents must employ strategies to initiate change and improve their conditions.

Evaluation of tourist carrying capacity to support recreational beaches management

The overexploitation of sandy beaches by tourism reduces ecological integrity, rendering natural conditions unsatisfactory for the needs of the population and resulting in negative socio-economic impacts. In this context, the assessment of tourist carrying capacity aims to support beach management from a social, environmental, and economic perspective. The objective of this study was to estimate the tourist carrying capacity at nine beaches in the states of Rio de Janeiro (RJ) and Espírito Santo (ES), southeastern Brazil. The physical carrying capacity was calculated based on the available space for recreation in scenarios of one user per 5 m2 and 10 m2. Subsequently, limiting environmental factors for recreational use such as sunlight, precipitation, strong winds, tidal range, and temperature were considered, supporting the calculation of the tourist carrying capacity. For the calculation, management conditions (infrastructure and services) were estimated based on the scoring of 69 indicators, included in the international beach quality program called Blue Flag and in the main instrument for coastal management in Brazil, the Orla Project. At RJ beaches, the carrying capacity was not exceeded in the scenario of one user per 10 m2, except in the central region with a higher tourist appeal. In ES state, the results indicated overload for all beaches in the central southern region; for example, one received six times more users than its tourist capacity. Overall, the highest percentages of management capacity were recorded at beaches with Blue Flag certification. The beaches that require the most improvements in coastal management are those located in regions with lower Human Development Index (HDI) and farther from major urban centers. The results suggest priority management actions and guide efforts towards potential beach certification. The management of services, infrastructure, and overload highlights the need for preventive measures to avoid the tourism paradox, including loss of environmental quality and revenue. Moreover, the flexibility of this evaluation tool allows for its application in beaches of any country. The integration of tourist carrying capacity and assessment of the coastal scenario provides a more comprehensive and effective framework for the sustainable management of beaches.

Discovering a Young State: Foreign Sports Delegations in the USSR during the 1920s

In the 1920s, visits by foreign delegations to the USSR served as a crucial yet challenging avenue for showcasing the achievements of the nascent Soviet state. Drawing on previously unexplored materials from the Russian State Archive of Socio-Political History (F. 537, inv. 2), this article examines the strategies employed in hosting these guests. It explores the planning of their itineraries and leisure activities, aiming to understand how Soviet sports leaders, during the early stages of state formation, skillfully concealed various shortcomings (especially economic and infrastructural) and highlighted sports and cultural triumphs to craft a positive global image of the USSR through what was ostensibly a non-political institution.Soviet physical education leaders did not shy away from inviting foreign teams to the country; instead, they actively welcomed all interested parties who could manage the journey. An ideally orchestrated visit seamlessly integrated four key elements: sports (the competitions), culture (theater, cinema, sightseeing), daily life (direct interaction with Soviet workers), and team recreation. When executed well, these visits garnered positive international feedback, thereby enhancing the USSR's global prestige as the inaugural socialist state. This became the primary objective of Soviet sports diplomacy in the late 1920s, marking a significant stride in breaking through international isolation.However, these visits were not without limitations and challenges. The level of indoctrination varied significantly among delegations: while European proletarians often visited sites significant to the October Revolution, guests from the East were predominantly exposed to the country's cultural facets. Despite the Red Sports International's encouragement, delegations rarely ventured beyond major urban centers like Moscow, Leningrad, Kharkov, and Odessa, as provincial visits were not feasible. Furthermore, even in these key cities, visitors encountered organizational challenges such as transportation difficulties, inadequate economic support, and issues with food provision, which diminished the effectiveness of propaganda efforts. These shortcomings were largely attributable to the absence of a standardized protocol for receiving foreign guests during the first decade of Soviet sports diplomacy and the general uneven infrastructural development of the country.

Unleashing The Power of Big Data: The Phenomenon Behind Indonesia's Smart City Policy Implementation

The concept of smart cities has emerged as a promising prospect for several major urban centers in Indonesia. Putting smart city projects together requires thinking about many things. Big data has become one of the most important parts for making sure that these projects will last. Employing big data technology makes it easier to improve the ways that data is stored and processed. This makes it possible to gather useful data that could greatly improve a wide range of smart city services. This study uses a library-based qualitative research approach to analyze scholarly journals and relevant literature. The method involves meticulous collection of data from carefully chosen libraries, aiming to provide comprehensive insights into the phenomenon of big data in smart cities implementation within government administration. This study aims to contribute to the identification and analysis of challenges encountered in emergency situations, with the ultimate goal of providing assistance in effectively mapping the problem at hand. The present discourse underscores the indispensability of Indonesia's contemporary human mindset in bolstering the viability of the smart city paradigm.

La boîte noire de la gestion de la diversité : Une étude exploratoire au sein des entreprises localisées en région

This study explores the black box of diversity management in 60 companies outside major urban centers. The interviews show that the extent to which leaders believe in diversity influences their HR strategies and practices, the actions of middle managers and HR managers, the organizational climate, their results in terms of attracting, integrating, and retaining immigrant workers and ultimately performance at the individual, organizational, social, and societal levels. Ways of action are proposed to make diversity management a real organizational change that is a source of competitive advantage.

The Reality and Methodology of "Vision Management" in Area Based Management of Major Urban Centers

The Reality and Methodology of "Vision Management" in Area Based Management of Major Urban Centers

종족(宗族)마을의 변화를 통해 본 경산시 도시사(都市史) 연구

This study examines the changes experienced by a lineage village near Gyeongsan City, adjacent to a major urban center, during the process of urbanization. To understand the impact of urbanization on the social and economic aspects of rural areas near Gyeongsan City and its various effects on lineage organization, this study applies a research method of urban history, focusing on correspondence in response to urbanization over different periods.&#x0D; The cultivation of cash crops and an increase in diversified farming accelerated the outflow of lineage members to the city, leading to the influx of outsiders and the formation of autonomous cooperative groups among those who were traditionally marginalized in the lineage community. As urbanization progressed, the structure of intra-lineage property changed, resulting in organizational transformations to effectively manage it. Consequently, the traditional functions and aspects of lineage communities focused on hierarchy and lineage have diminished, giving rise to intensified conflicts among lineage members over the management and disposal of intra-lineage property. The study suggests that the implications of these changes in suburban lineage villages due to urbanization highlight the need for institutional mechanisms applicable to the realistic functional shifts within lineage communities and the management of intra-lineage property in contemporary society.

Enhancing Patient Satisfaction in Cross-Regional Healthcare: a Cross-Sectional Study in the Knowledge-Based Healthcare Landscape

AbstractIn the wake of China’s monumental achievement in establishing the world’s most extensive social health insurance system, encompassing 1.4 billion individuals, a unique challenge known as the “siphoning effect” has emerged. This effect involves insured individuals seeking medical care predominantly in major urban centers, straining resources and hindering local healthcare service development. A policy innovation of cross-regional direct settlement of medical outpatient expenses has been implemented nationwide to address this. However, increased population mobility and urbanization have introduced new complexities, prompting insured individuals to seek healthcare beyond their home regions. This study explores the determinants of patient satisfaction in the context of cross-regional medical treatment, adopting a comprehensive approach across six independent dimensions. Findings indicate a 70% satisfaction rate, emphasizing room for improvement, particularly in communication and service efficiency. The study reaffirms the significance of medical competence and professionalism as primary determinants of patient satisfaction, highlighting their robustness in diverse healthcare contexts. Sociodemographic factors also play a crucial role, emphasizing the need for tailored services. Also, accessible information within hospital settings proves vital in enhancing patient satisfaction. This research calls for prioritizing investments in enhancing medical competence and professionalism among healthcare staff. It underscores the importance of adapting services to cater to specific patient groups’ characteristics and the need for standardization in medical insurance policies. A patient-centered approach is crucial to ensure comprehensive and easily understandable information, ultimately enhancing overall patient satisfaction in cross-regional medical treatment within China’s evolving healthcare system. These insights contribute to a broader understanding of healthcare management and services.

Seamless Multimodal Transportation Scheduling

Ride-hailing services have expanded the role of shared mobility in passenger transportation systems, creating new markets and creative planning solutions for major urban centers. In this paper, we consider their use for the first-mile or last-mile passenger transportation in coordination with a mass transit service to provide a seamless multimodal transportation experience for the user. A system that provides passengers with predictable information on travel and waiting times in their commutes is immensely valuable. We envision that the passengers will inform the system of their desired travel and arrival windows so that the system can jointly optimize the schedules of passengers. The problem we study balances minimizing travel time and the number of trips taken by the last-mile vehicles, so that long-term planning, maintenance, and environmental impact are all taken into account. We focus on the case where the last-mile service aggregates passengers by destination. We show that this problem is NP-hard, and we propose a decision diagram–based branch-and-price decomposition model that can solve instances of real-world size (10,000 passengers spread over an hour, 50 last-mile destinations, 600 last-mile vehicles) in computational time (∼1 minute) that is orders of magnitude faster than the solution times of other methods appearing in the literature. Our experiments also indicate that aggregating passengers by destination on the last-mile service provides high-quality solutions to more general settings. History: Accepted by Pascal Van Hentenryck, Area Editor for Computational Modeling: Methods and Analysis. Supplemental Material: The software that supports the findings of this study is available within the paper and its Supplemental Information ( https://pubsonline.informs.org/doi/suppl/10.1287/ijoc.2019.0163 ) as well as from the IJOC GitHub software repository ( https://github.com/INFORMSJoC/2019.0163 ). The complete IJOC Software and Data Repository is available at https://informsjoc.github.io/ .

Education System in Mandoul in Chad: Between Poverty and the 2014 Reform

If education is a factor of sustainable socio-economic development, the reform of the education system of a country like Chad where poverty affects almost 50% of households appears as the motor of the machine of the "well-being of the populations" among which 75.6% live in rural areas. As a result, the geographic region of Mandoul is not the rest because it has a poverty rate of over 26%, which makes it a province of extreme poverty. Despite repeated reforms, this southern part of the country with enormous economic potential is lagging behind in terms of education with a low literacy rate for those aged 15 and over (40.3%). This is why it was chosen for this study. The objective is to measure the impact of the 2014 reform on the quality of school infrastructure and the recruitment of qualified teachers and the improvement in the quality of education provided for by this reform. The realization of this study focused on documentary research and a survey of key actors in the education system. The results showed that seven years after the reform, the results of its implementation remain mixed and its impact remains barely visible, especially in rural areas. Indeed, some public establishments around major urban centers have closed their doors due to precarious working conditions and the lack of teachers. This situation has caused, on the one hand, the creation of community colleges in rural areas and, on the other hand, the influx of students to the commune of Koumra, a major center of human attraction in the area. This category of students, living alone or with a tutor, finds it difficult to integrate and adapt to the new life far from their parents. Difficulties related to food, accommodation and school fees force learners to anticipate holidays for field work in order to ensure their school survival.

Penalty Point System (PePS) Adaptation for Solid Waste Assessment in Cross River State, Nigeria

Waste generation in major urban centres in Nigeria appears to be on the increase due to increased consumption occasioned by rapid urbanization. Unfortunately, appreciable efforts are only being made in few urban areas with regards to monitoring this occurrence for the purpose of control and sanitation planning. This paper adapted and applied the novel Penalty Point System (PePS) as a methodology to investigate environmental pollution consequences of solid waste in Nigeria, using Calabar municipality, Cross River State as a case study. The objectives were to demonstrate the use of Penalty Pont System (PePS) as a tool for pollution (solid waste) assessment, unravel the environmental pollution consequences of improper solid waste management in Calabar Municipality, investigate various systems of solid waste disposal and management in Calabar Municipality, determine the relationship that exists between solid waste disposal problem and environmental sanitation and render viable recommendations for the purpose of reduction in the amount of solid waste generated and the need for proper management. Data for the study included a catalogue of the number of waste dumps in drainage systems and uncollected waste sites as well as responses to 200 copies of administered questionnaire. The penalty point system was used to allocate penalties to the defaulting locations for uncollected waste sites and dump-in drainages. It was discovered that Akim and Big Qua earned the highest penalty points of 120 each, amounting to 40 percent of the study area. This attribute clearly qualifies both districts as the poorest with regard to urban environmental sanitation. Further analysis was done using the Chi-squate statistics. Findings show that solid waste management system has a great effect on the quality of the environment that is possible in urban areas. It was therefore recommended that as a long-term measure, the government should enforce, support and sustain environmental education which is needed to promote manufacturing technologies that would enhance the production of consumer goods using low waste-generating practices.. Again, the government should provide access roads that are free from surface damage.