Tag: dailyprompt-1919

Encouraging Safer Driving: How Chandigarh and Kolkata are Tackling Speeding on City Roads

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When is the last time you took a risk? How did it work out?
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By Shashikant Nishant Sharma

In the context of rising urban traffic concerns in India, cities like Chandigarh and Kolkata have taken proactive measures to address one of the most persistent problems on their roads—overspeeding. With the growing number of vehicles and increasing traffic congestion, urban safety has become a critical issue. Authorities in both these cities have explored and implemented a range of solutions to reduce vehicle speeds and encourage safer driving behavior.

Chandigarh: A Model for Speed Management

Chandigarh, often considered one of India’s best-planned cities, has been at the forefront of urban traffic management. Recognizing the threats posed by high-speed driving—especially on wide arterial roads and sectors designed for fast movement—the Chandigarh Traffic Police initiated a comprehensive speed-calming strategy.

Key interventions included:

  • Installation of Speed Cameras: High-resolution automated speed detection cameras were deployed at key intersections and vulnerable points to catch violators and generate e-challans in real time.
  • Road Diet and Traffic Calming Measures: The city experimented with lane narrowing, installation of rumble strips, and raised pedestrian crossings. These measures aimed at naturally reducing vehicle speeds by altering driver perception and enforcing compliance.
  • Intensive Awareness Campaigns: Through social media, radio, and public engagement programs, the authorities educated drivers—especially young motorists—about the risks of speeding and the legal consequences.
  • Speed Limits and Zoning: Specific zones such as school areas, hospitals, and high-pedestrian zones were designated with reduced speed limits (20–30 km/h), and were closely monitored for enforcement.

The result was a noticeable reduction in speeding-related crashes, particularly in school zones and near marketplaces. Moreover, citizen feedback revealed improved perceptions of safety, encouraging more people to walk and cycle.

Kolkata: Integrating Safety with Urban Chaos

Kolkata presents a different urban context. With a dense urban fabric, a high reliance on public transport, and narrow, crowded streets, managing traffic speeds is both critical and challenging. The Kolkata Traffic Police adopted a multipronged approach to deal with these issues.

Key initiatives included:

  • Adaptive Signal Systems and Traffic-Calming Zones: The use of intelligent traffic lights helped reduce vehicle speeds without causing excessive delays. Additionally, dedicated “calm zones” were created in sensitive areas like Park Street and Esplanade.
  • Increased Enforcement and Penalties: Mobile speed radars and a greater number of traffic police personnel were deployed during peak hours to catch and deter speeding vehicles.
  • Infrastructure Modifications: Speed breakers, median barriers, and pedestrian islands were constructed in accident-prone areas to slow down traffic and make pedestrian crossings safer.
  • Public-Private Partnerships (PPP): Kolkata engaged with local NGOs and tech firms to roll out awareness campaigns, safety audits, and behavior-change programs, especially targeting commercial vehicle drivers and two-wheeler users.

Interestingly, the city also focused on improving the conditions of pedestrian infrastructure, which indirectly discouraged high-speed driving by giving road priority to non-motorized users.

The Way Forward

Both Chandigarh and Kolkata demonstrate how Indian cities, despite differing in scale and structure, can adopt innovative solutions to curb speeding and enhance urban road safety. What stands out is their commitment to combining enforcement with education and infrastructural adjustments. These strategies align with the Safe System Approach promoted by global traffic safety frameworks, which emphasizes shared responsibility and systemic thinking.

As India continues to urbanize and motorization rates climb, these city-led initiatives serve as important examples for others to follow. By fostering a culture of safer driving and designing roads that prioritize human life over speed, urban India can move closer to its Vision Zero ambitions—eliminating fatalities and serious injuries on roads.

References

Chakrabartty, A., & Gupta, S. (2014). Traffic congestion in the metropolitan City of Kolkata. Journal of Infrastructure Development, 6(1), 43-59.

Dehalwar, K., & Sharma, S. N. (2023). Fundamentals of Area Appreciation and Space Perceptions.

Lodhi, A. S., Jaiswal, A., & Sharma, S. N. (2024). Assessing bus users satisfaction using discrete choice models: a case of Bhopal. Innovative Infrastructure Solutions, 9(11), 1-27.

Sharma, S. N., Kumar, A., & Dehalwar, K. (2024). The Precursors of Transit-oriented Development. EPW Economic & Political Weekly, 59(16), 14.

Sharma, S. N., & Dehalwar, K. (2023). Fundamentals of Planning and Design of Housing.

Sharma, S. N., & Dehalwar, K. (2025). Assessing the Transit-Oriented Development and Travel Behavior of the Residents in Developing Countries: A Case of Delhi, India. Journal of Urban Planning and Development, 151(3), 05025018. https://doi.org/10.1061/JUPDDM.UPENG-5468

Tiwari, G., & Mohan, D. (2022). Traffic safety in India and vision zero. In The Vision Zero Handbook: Theory, Technology and Management for a Zero Casualty Policy (pp. 1-39). Cham: Springer International Publishing.

Verma, A., Sreenivasulu, S., & Dash, N. (2011). Achieving sustainable transportation system for Indian cities–problems and issues. Current Science, 1328-1339.

Introduction to Structural Equation Modeling

Daily writing prompt
When is the last time you took a risk? How did it work out?
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By Shashikant Nishant Sharma

Structural Equation Modeling (SEM) is a comprehensive statistical approach used widely in the social sciences for testing hypotheses about relationships among observed and latent variables. This article provides an overview of SEM, discussing its methodology, applications, and implications, with references formatted in APA style.

Introduction to Structural Equation Modeling

Structural Equation Modeling combines factor analysis and multiple regression analysis, allowing researchers to explore the structural relationship between measured variables and latent constructs. This technique is unique because it provides a multifaceted view of the relationships, considering multiple regression paths simultaneously and handling unobserved variables.

Methodology of SEM

The methodology of SEM involves several key steps: model specification, identification, estimation, testing, and refinement. The model specification involves defining the model structure, which includes deciding which variables are to be considered endogenous and exogenous. Model identification is the next step and determines whether the specified model is estimable. Then, the model estimation is executed using software like LISREL, AMOS, or Mplus, which provides the path coefficients indicating the relationships among variables.

Estimation methods include Maximum Likelihood, Generalized Least Squares, or Bayesian estimation depending on the distribution of the data and the sample size. Model fit is then tested using indices like Chi-Square, RMSEA (Root Mean Square Error of Approximation), and CFI (Comparative Fit Index). Model refinement may involve re-specification of the model based on the results obtained in the testing phase.

Above is a visual representation of the Structural Equation Modeling (SEM) technique as used in a scholarly context. The image captures a network diagram on a blackboard and a group of researchers discussing the model.

Applications of SEM

SEM is used across various fields such as psychology, education, business, and health sciences. In psychology, SEM helps in understanding the relationship between latent constructs like intelligence, anxiety, and job performance. In education, it can analyze the influence of teaching methods on student learning and outcomes. In business, SEM is applied to study consumer satisfaction and brand loyalty.

Challenges and Considerations

While SEM is a powerful tool, it comes with challenges such as the need for large sample sizes and complex data handling requirements. Mis-specification of the model can lead to incorrect conclusions, making model testing and refinement critical steps in the SEM process.

Conclusion

Structural Equation Modeling is a robust statistical technique that offers detailed insights into complex variable relationships. It is a valuable tool in the researcher’s toolkit, allowing for the precise testing of theoretical models.

References

  • Kline, R. B. (2015). Principles and practice of structural equation modeling (4th ed.). Guilford publications.
  • Schumacker, R. E., & Lomax, R. G. (2016). A beginner’s guide to structural equation modeling (4th ed.). Routledge.
  • Byrne, B. M. (2013). Structural equation modeling with AMOS: Basic concepts, applications, and programming (2nd ed.). Routledge.
  • Hoyle, R. H. (Ed.). (2012). Handbook of structural equation modeling. The Guilford Press.
  • Brown, T. A. (2015). Confirmatory factor analysis for applied research (2nd ed.). The Guilford Press.

Bus Transit Systems in Bhopal: An Overview

Daily writing prompt
When is the last time you took a risk? How did it work out?
View all responses

By Dr. Kavita Dehalwar & Shashikant Nishant Sharma

Bhopal, the capital city of Madhya Pradesh, India, has undergone significant transformations in its public transport system over the years. The city’s bus transit systems, in particular, have become a critical component of urban mobility, aiming to provide efficient, affordable, and sustainable transport solutions to its residents. This article provides a detailed exploration of the bus transit systems in Bhopal, examining their structure, effectiveness, and the level of user satisfaction, with reference to recent academic research.

Overview of Bhopal’s Bus Transit System

Bhopal’s bus transit system is spearheaded by the Bhopal City Link Limited (BCLL), which operates under the brand name ‘MyBus’. Launched in 2006, ‘MyBus’ operates a fleet of buses intended to serve all major routes across the city. The system was designed to reduce congestion, improve air quality, and provide a reliable alternative to private vehicle use.

In addition to regular buses, Bhopal has also introduced Bus Rapid Transit System (BRTS), known locally as the Bhopal BRTS, which began operations in 2013. This system features dedicated corridors for buses, aiming to ensure faster travel times by avoiding the usual traffic congestion on roads.

Infrastructure and Technology

The Bhopal bus transit system features modern infrastructure that includes well-designed bus stops equipped with real-time information systems. The BRTS corridors are specially engineered with elevated and at-grade sections that separate buses from general traffic, thereby increasing efficiency and punctuality.

Technological enhancements have been integrated into the system, such as GPS tracking of buses and automated ticketing systems. These technologies facilitate ease of use and improve passenger experiences by providing accurate information on bus timings and routes.

Assessment of Satisfaction Levels

A critical assessment by Jaiswal, A., Rokade, S., Vijay, N.C. (2024) in their study titled “Assessment of Satisfaction Level for Bus Transit Systems in Bhopal” found varied satisfaction levels among users of the city’s bus transit system. Published in the Springer series Lecture Notes in Civil Engineering, their research evaluates several parameters that influence user satisfaction, including comfort, safety, frequency of buses, and accessibility of bus stops (Jaiswal et al., 2024).

Their findings indicate that while there are areas of strength, such as the availability of buses during peak hours, there are also significant areas for improvement, especially in terms of bus maintenance and service consistency. The study highlights the need for regular monitoring and upgrades to keep up with the growing demand and to ensure sustainable operations.

Challenges and Opportunities

Despite the advancements and the positive impact on urban mobility, Bhopal’s bus transit system faces several challenges. These include operational inefficiencies, financial sustainability issues, and the need for continuous improvement in customer service. Moreover, the increasing population of the city calls for an expansion of the bus network to cover newer areas and to handle greater passenger loads.

The opportunities for improvement align closely with the challenges. There is potential for expansion of the BRTS network, which could significantly improve the overall efficiency of public transport in Bhopal. Additionally, incorporating more eco-friendly buses, such as electric or hybrid models, could address environmental concerns and enhance the sustainability of the transit system.

Conclusion

Bhopal’s bus transit system plays an essential role in shaping the city’s transport landscape. With ongoing assessments and feedback mechanisms, such as the study conducted by Jaiswal et al. (2024), the system can continue to evolve and adapt to the needs of its users. The future of urban mobility in Bhopal appears promising, with continued investments in infrastructure, technology, and service quality poised to enhance the efficacy and popularity of its bus transit networks.

References

Chaurasia, D. (2014). Bus rapid transit system (BRTS): A sustainable way of city transport (Case Study of Bhopal BRTS). International Journal of Engineering and Advanced Technology (IJEAT) ISSN, 2249, 8958.

Dehawar, K. The Harsh Reality of Slum Life in Bhopal: A Closer Look at Poor Living Conditions.

Gurjar, J., Agarwal, P. K., & Jain, P. K. (2020). A comprehensive methodology for comparative performance evaluation of public transport systems in urban areas. Transportation Research Procedia, 48, 3508-3531.

Jaiswal, A., Rokade, S., Vijay, N.C. (2024). Assessment of Satisfaction Level for Bus Transit Systems in Bhopal. In: Singh, D., Maji, A., Karmarkar, O., Gupta, M., Velaga, N.R., Debbarma, S. (eds) Transportation Research. TPMDC 2022. Lecture Notes in Civil Engineering, vol 434. Springer, Singapore. https://doi.org/10.1007/978-981-99-6090-3_35.

Jaiswal, A., Jain, G., & Goswami, S. Assessment of Satisfaction Level for Existing Public Transport Systems using Machine Learning: A Case of Bhopal (India).

LODHI, A. S., & SHARMA, S. N. Framework for Road Safety Improvement Measures for Madhya Pradesh.

Saxena, A., Gupta, V., & Shrivastava, B. (2021). An assessment of public transport accessibility levels for slums in Bhopal. City, 1000, 9.

Sharma, S. N., Kumar, A., & Dehalwar, K. (2024). The Precursors of Transit-oriented Development. Economic and Political Weekly, 59(14), 16-20.

Singh, A. P., Singh, V., Sharma, A. K., & Sharma, A. Review of Public Transit Services in the State Capital Bhopal.