Search Results (24)

Grounded in the Conservation of Resources (COR) theory, this study investigates the impact of workplace bullying on the psychological and physical well-being of Information Technology (IT) professionals in five major metropolitan cities in India (Chennai, Bengaluru, Hyderabad, Pune, and Mumbai). Specifically, it examines how workplace bullying increases psychological distress and how this distress subsequently impairs sleep quality, along with the moderating role of resilience in this relationship. Data were collected from 380 Information Technology employees using a structured online questionnaire through a Stratified simple random sampling technique. The sample consisted of full-time IT professionals across various age groups, job levels, and work arrangements. The hypothesized relationships were tested using Partial Least Squares Structural Equation Modeling (PLS-SEM). Results show that workplace bullying significantly elevates psychological distress and reduces sleep quality. Psychological distress partially mediates the effect of bullying on sleep, while resilience weakens the negative impact of distress on sleep, confirming a conditional mediation model. Theoretically, this study advances COR theory by demonstrating how personal resources such as resilience buffer the loss spirals associated with workplace stressors. Practically, the findings highlight the need for IT organizations to strengthen resilience-building initiatives and implement targeted interventions to reduce bullying and protect employee well-being. Full article

As rapid urbanisation accelerates in Global South cities, regulatory upzoning is widely promoted as a tool to expand supply and foster compact growth. Yet the interaction between permissive rules, market valuation, and institutional capacity remains underexplored. This article examines Hyderabad’s near two-decade experiment with Floor Space Index deregulation, introduced through Government Order Ms. No. 86 (2006), which eliminated citywide density caps and allowed premium-based flexibility. Using a geocoded dataset of over 9200 projects matched with government circle rate tables, spatial accessibility measures, and a subset of 2500 properties for regression analysis, this study evaluates how rules, price signals, and institutional arrangements shaped development outcomes through a rules–prices–institutions analytical framework. Results reveal that deregulation produced highly selective verticalisation, with high-rise projects concentrated in the western IT corridor while most of the city retained low-to-mid-rise form. Regression estimates demonstrate that FSI and height are capitalised in market prices but remain statistically insignificant in government valuations, reflecting a systematic undervaluation of high-intensity development in official pricing schedules. Institutional fragmentation and valuation inertia thus created a “capture gap,” where fiscal returns failed to match private value increments. The findings underscore that effective densification requires dynamic alignment of regulatory latitude, real-time valuation, and integrated governance. Hyderabad’s case illustrates broader lessons for Global South cities: the analysis demonstrates that the proposed framework is transferable beyond the empirical setting, and that blanket deregulation without fiscal and institutional reform entrenches inequality and weakens the public dividend from urban growth. Full article

Poor air quality in India has sparked our interest in studying the time series dynamics of PM_2.5 in India’s five most populous cities (Mumbai, New Delhi, Hyderabad, Chennai, and Kolkata). Daily data for the period 2014–2023 are examined in the paper. Using fractional integration methods, we analyze the persistence, seasonality, and time trends of the data. The results indicate that all seriGewekees display fractional degrees of integration, being smaller than 1 and thus presenting mean reversion. Moreover, the time trends are significantly negative only for New Delhi and Kolkata, implying a continuous reduction in the level of pollution. These findings suggest that targeted interventions, such as stricter emission regulations, improved urban planning, and the promotion of clean technologies, are essential to sustain and amplify the observed improvements in air quality. The study also highlights the need for consistent and long-term efforts to address pollution in Mumbai, Hyderabad, and Chennai, where no significant reductions have been observed, emphasizing the importance of adapting policies to regional conditions. The paper’s findings can serve as a guide for air pollution management and for policymakers at the Central Pollution Control Board (CPCB), the governmental body responsible for monitoring and regulating environmental pollution in India. Full article

Rapid ribbon development in Qasimabad Taluka, Hyderabad, has resulted in fragmented neighborhoods due to unplanned urban expansion. This study evaluates the critical factors influencing social sustainability in residential communities, focusing on neighborhood connectivity, safety, and green spaces. Employing a quantitative approach, data were collected through quota sampling from 5–7% of government-approved housing schemes in Qasimabad. A Satisfaction Index was developed to assess residents’ perceptions of accessibility, safety, amenities, and community engagement and analyzed via SPSS-22. Key findings revealed severe dissatisfaction: only 19% of private vehicle users reported satisfaction, while over 60% rated pedestrian and cycling infrastructure as inadequate. Green spaces intended for communal use deteriorated, causing a 21.58% reduction in satisfaction. Despite moderate daytime safety ratings (+53.95%), the overall social sustainability index remained negative (−148.61%). This study underscores the urgency of integrated urban strategies—enhancing accessibility, revitalizing green spaces, improving safety measures, and fostering community engagement—to address fragmentation and achieve socially sustainable neighborhoods. Full article

In the modern dialogue of urban planning, social sustainability emerges as a crucial focus, especially in swiftly expanding cities like Hyderabad, Pakistan. Despite its importance, social sustainability is frequently overlooked, particularly in developing regions. This research examines the planning frameworks shaping socially sustainable residential areas in Qasimabad Taluka, Hyderabad City. Once lush farmland, Qasimabad has swiftly transformed into residential sectors. This transition has led to declining living standards and weakened social sustainability metrics. Through meticulous analysis, this study evaluates the community engagement, inclusivity and accessibility, social cohesion and safety, and facilities and amenities factors of social sustainability in the residential neighborhoods of Qasimabad Taluka using field visits and a comprehensive questionnaire survey with a sample size of 307 adopting cluster and quota sampling techniques. Data analysis with SPSS-22, supported by reliability, exploratory factor analysis, and Yeh’s satisfaction index model reveals key elements such as community accessibility, safety, green spaces, and aesthetic appeal. The findings reveal deteriorating infrastructure in Qasimabad, emphasizing the necessity for substantial interventions in infrastructure development, public space revitalization, and the cultivation of civic consciousness. Addressing these issues is vital for fostering neighborhoods that are both livable and socially cohesive. By shedding light on these critical needs, urban planners can effectively create sustainable living environments in Qasimabad Taluka. Full article

In the present scenario, air quality prediction (AQP) is a complex task due to high variability, volatility, and dynamic nature in space and time of particulates and pollutants. Recently, several nations have had poor air quality due to the high emission of particulate matter (PM_2.5) that affects human health conditions, especially in urban areas. In this research, a new optimization-based regression model was implemented for effective forecasting of air pollution. Firstly, the input data were acquired from a real-time Beijing PM_2.5 dataset recorded from 1 January 2010 to 31 December 2014. Additionally, the newer real-time dataset was recorded from 2016 to 2022 for four Indian cities: Cochin, Hyderabad, Chennai, and Bangalore. Then, data normalization was accomplished using the Min-Max normalization technique, along with correlation analysis for selecting highly correlated variables (wind direction, temperature, dew point, wind speed, and historical PM_2.5). Next, the important features from the highly correlated variables were selected by implementing an optimization algorithm named reinforced swarm optimization (RSO). Further, the selected optimal features were given to the bi-directional gated recurrent unit (Bi-GRU) model for effective AQP. The extensive numerical analysis shows that the proposed model obtained a mean absolute error ($MAE$) of 9.11 and 0.19 and a mean square error ($MSE$) of 2.82 and 0.26 on the Beijing PM_2.5 dataset and a real-time dataset. On both datasets, the error rate of the proposed model was minimal compared to other regression models. Full article

In this research, the condition of universal mobility, in the centers of historic Indian cities, has been critically analyzed. Implementing universal design guidelines (especially universal mobility standards) in the centers of historic Indian cities is comparatively challenging, due to the high-density, ever-increasing population, and organic urban development. The rising number of elderly and specially abled people also add a demographic challenge to universal mobility. The focus of this research is to understand the extent to which universal mobility guidelines can be implemented in the centers of historic Indian cities. The dataset for this research is derived from a field survey of 69 footpath stretches from the centers of 5 historic cities in India, namely Jaipur, Jodhpur, Nagpur, Hyderabad, and Chennai. Footpath stretches in the centers of these historic cities were evaluated based on several factors pertaining to universally designed infrastructure and universal mobility features. Such comprehensive research on universal mobility in footpaths of historic Indian cities has not been previously conducted. The findings of this research indicate the poor condition of universal mobility in the studied areas. Furthermore, the results can be useful for assessing the extent of implementation of universal mobility in the centers of other historic Indian cities. Full article

Hyderabad’s recreational amenities have made limited progress in comparison to the development of its industrial and commercial sectors. People require parks to unwind from their hectic lives. Parks can be a healthy location to host social events and can enhance community bonds. The evaluation of park accessibility has not been considered over the years in Hyderabad. Hyderabad is the eighth largest settlement in Pakistan and the second largest in the Sindh province. Thus, this study aimed to evaluate the spatial accessibility of the urban parks situated in the city’s distinct locations. The spatial distribution of parks throughout the city was determined in this research. This study evaluated how accessible urban parks are to users by conducting a buffer analysis with ArcGIS-10.8. The questionnaire survey was conducted to record the participants’ opinions about the existing conditions of the parks with a sample size of 400. There was a total of 28 inaccessible urban parks found in Hyderabad. The total facility coverage was decided to be 0.80%. This value is extremely low as per local standards. Therefore, this study recommends the planned development of 40–45 parks to reach the standard level of 18% of the park coverage area. This study suggests that government officials should take pivotal measures to better maintain parks. This research is significant in the advanced modern world because natural areas, such as parks, can offer social and psychological benefits to society. The accessibility of parks is essential for the prosperity of citizens and the achievement of sustainable development goals. The findings of this research may contribute to SDGs 3 and 11, i.e., good health and well-being and sustainable cities and communities. Full article

Dengue virus infections are recorded as hyper-endemic in many countries, including India. Research pertaining to the reasons for frequent outbreaks and severe dengue is ongoing. Hyderabad city, India, has been recorded as a ‘hotspot’ for dengue virus infections. Dengue virus strains circulating over the past few years in Hyderabad city have been characterized at the molecular level to analyze the serotype/genotypes; 3′UTRs were further amplified and sequenced. The disease severity in patients infected with dengue virus strains with complete and 3′UTR deletion mutants was analyzed. Genotype I of the serotype 1 replaced genotype III, which has been circulating over the past few years in this region. Coincidentally, the number of dengue virus infections significantly increased in this region during the study period. Nucleotide sequence analysis suggested twenty-two and eight nucleotide deletions in the 3′UTR of DENV-1. The eight nucleotide deletions observed in the case of DENV-1 3′UTR were the first reported in this instance. A 50 nucleotide deletion was identified in the case of the serotype DENV-2. Importantly, these deletion mutants were found to cause severe dengue, even though they were found to be replication incompetent. This study emphasized the role of dengue virus 3′UTRs on severe dengue and emerging outbreaks. Full article

A reliable air quality prediction model is required for pollution control, human health monitoring, and sustainability. The existing air quality prediction models lack efficiency due to overfitting in prediction model and local optima trap in feature selection. This study proposes the Balanced Spider Monkey Optimization (BSMO) technique for effective feature selection to overcome the local optima trap and overfitting problems. The air quality prediction data were collected from the Central Pollution Control Board (CPCB) from four cities in India: Bangalore, Chennai, Hyderabad, and Cochin. Normalization is performed using Min-Max Normalization and fills the missing values in the dataset. A Convolutional Neural Network (CNN) is applied to provide deep representation of the input dataset. The BSMO technique selects the relevant features based on the balancing factor and provides the relevant features for the Bi-directional Long Short-Term Memory (Bi-LSTM) model. The Bi-LSTM model provides the time series prediction of air quality for four cities. The BSMO model obtained higher feature selection performance compared to existing techniques in air quality prediction. The BSMO-BILSTM model obtained 0.318 MSE, 0.564 RMSE, and 0.224 MAE, whereas Attention LSTM reached 0.699 MSE, 0.836 RMSE, and 0.892 MAE. Our solution may be of particular interest to various governmental and non-governmental institutions focused on maintaining high Quality of Life (QoL) on the local or state level. Full article

This study is aimed to determine the MLU development factors by executing a Delphi Method (DM). The MLU factors can contribute to the land-use development process in the thickly populated urban centers of developing countries. This is the first study of its type conducted to clarify MLU development factors in urbanized settlements of Sindh province, Pakistan. Karachi and Hyderabad are thickly populated cities in Pakistan where mixed land-use (MLU) development prevails over the years. The DM was attempted in two rounds focusing on the opinion of urban development specialists and academic experts. The experts initially provided a set of forty-two factors identified from the literature. These factors were arranged in a Likert-based questionnaire and determined through the coefficient variation. The prominent factors were identified as household savings, travel costs and low rent, nearby household items and shared utility services, economic vitality, variety in purchasing grocery and shopping items, demographic change and social poverty, accessibility to nearby public services, reduction in commuting time and easy access to restaurants. This proposed research recommends policy implications focusing on identified key parameters of MLU development, such as low carbon exposure, livable environment, and planned municipal system. Full article

Impacts of climate change and human-made interventions have altered the fluvial regime of most rivers. The increasingly uncertain floods would further threaten the flow delivery system in regions such as Pakistan. In this study, an alluvial reach of the Indus River below Kotri barrage was investigated for the geomorphologic effects of sediments deposited over the floodplain as well as the influences on the downstream flood-carrying capacity. The hydrodynamic modeling suite HEC-RAS in combination with ground and remotely sensed data were used to undertake this analysis. Results suggest that the morphology of the river reach has degraded due to depleted flows over a long period and hydrological extremes that have led to excessive sediment deposition over the floodplain and an enhancement in flood water extension possibility over the banks. A deposition of 4.3 billion cubic meters (BCM) of sediment increased the elevation of the channel bed which in turn reduced a 17.75% flood-carrying capacity of the river reach. Moreover, the excessive deposition of sediments and the persistence of low flows have caused a loss of 48.34% bank-full discharges over the past 24 years. Consequently, the river’s active reach has been flattened, with a live threat of left levee failure and the inundation of the populous city of Hyderabad. The study would gain insights into characterizing the impacts associated with a reduction in the flood-carrying capacity of the alluvial channel on account of the inadequate sediment transport capacity after heavy flow regulations. Full article

Land-use/land cover change (LUCC) is an important problem in developing and under-developing countries with regard to global climatic changes and urban morphological distribution. Since the 1900s, urbanization has become an underlying cause of LUCC, and more than 55% of the world’s population resides in cities. The speedy growth, development and expansion of urban centers, rapid inhabitant’s growth, land insufficiency, the necessity for more manufacture, advancement of technologies remain among the several drivers of LUCC around the globe at present. In this study, the urban expansion or sprawl, together with spatial dynamics of Hyderabad, Pakistan over the last four decades were investigated and reviewed, based on remotely sensed Landsat images from 1979 to 2020. In particular, radiometric and atmospheric corrections were applied to these raw images, then the Gaussian-based Radial Basis Function (RBF) kernel was used for training, within the 10-fold support vector machine (SVM) supervised classification framework. After spatial LUCC maps were retrieved, different metrics like Producer’s Accuracy (PA), User’s Accuracy (UA) and KAPPA coefficient (KC) were adopted for spatial accuracy assessment to ensure the reliability of the proposed satellite-based retrieval mechanism. Landsat-derived results showed that there was an increase in the amount of built-up area and a decrease in vegetation and agricultural lands. Built-up area in 1979 only covered 30.69% of the total area, while it has increased and reached 65.04% after four decades. In contrast, continuous reduction of agricultural land, vegetation, waterbody, and barren land was observed. Overall, throughout the four-decade period, the portions of agricultural land, vegetation, waterbody, and barren land have decreased by 13.74%, 46.41%, 49.64% and 85.27%, respectively. These remotely observed changes highlight and symbolize the spatial characteristics of “rural to urban transition” and socioeconomic development within a modernized city, Hyderabad, which open new windows for detecting potential land-use changes and laying down feasible future urban development and planning strategies. Full article

The article identifies the motivating factors behind the career preferences of university graduates who chose to engage in sustainable entrepreneurship. In this research, multi-methods—theoretical investigations and qualitative interviews—have been utilized to determine the factors responsible for promoting sustainable entrepreneurship in a developing region. The sample consisted of university graduates who chose to pursue their careers in entrepreneurial activities in Hyderabad, the sixth largest city of Pakistan located in Sindh Province. While determining why young academics choose entrepreneurship as a career choice, entrepreneurial careers are explored as an ongoing process of biographical sequences in which new ways of thinking and communication, new forms of economic and occupational challenges, and necessities as well as ways of success and failure are permanently claimed or raised. Due to these challenges, the youth are confronted with complex social and economic situation to deal with. The study findings provide guidelines on how sustainable entrepreneurship can be developed, engaged, and sustained in the future in developing and under-developed regions. Full article

Electric two-wheelers (E2W) can help de-carbonize transport in Indian cities. To promote E2W as an attractive alternative compared to the conventional two-wheelers, an investigation on prospective users’ choice decisions is necessary. This paper proposed a comprehensive methodology to evaluate the prospective users’ choice decision toward electric two-wheelers and related attributes in the Indian context. In this paper, attributes such as Operating Cost (OC) savings, top speed, range, charging duration, acceleration, and purchase cost were considered to design a Stated Preference (SP) survey to collect data from prospective E2W users in Hyderabad, India. Concurrently, multinomial logit (MNL) and random parameter logit (RPL) models are developed, and the willingness-to-pay (WTP) associated with each of the identified attributes was estimated. Additionally, the effect of socio-economic characteristics on prospective users’ choice decision was also assessed. Subsequently, a sensitivity analysis was carried out to estimate the relative influence of the attributes on an individual’s choice decision in terms of the shift in probability to choose alternatives with better attribute levels than the base alternative. The results revealed that top speed was perceived as the most important attribute influencing an individual’s choice decision, followed by acceleration and charging duration. Age, income, and journey time significantly influenced an individual’s perception toward E2W and related attributes in the Indian context. Full article