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Noise level based equivalency factors for different mobility options within heterogeneous traffic flow

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Abstract

This study employs a novel approach of comparing the effects of different types of mobility options on noise levels around arterials with the use of noise-level based passenger car unit (PCU) factors. The study area of this research was Karachi, Pakistan, although the methodology can be applied elsewhere. A regression model was developed for calculating PCUs based on noise level. To ensure maximum spread of data collection and variance in levels of traffic presence, the data was collected from five arterials of Karachi. Traffic volume count included mobility options of motorbikes, cars, pickup, rickshaws, buses, and trucks. It was found that the noise-based PCU factors differ greatly compared to those calculated based on traffic flow. Highest noise based PCU factor was for trucks, used for freight mobility, and lowest one was for rickshaws, a very common shared mobility option for passengers. These equivalency factors can provide a convenient approach for prediction of noise levels, along arterials, for transportation planners at the project development stage. Consequently, they can be utilized for planning and development of sustainable and healthy communities. Their importance is also justified on the basis of recent trend which includes introduction of various shared mobility options in Karachi, such as metro bus, online delivery, and ride-hiring services.

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Data Availability

The datasets generated during and/or analysed during the current study are available from the corresponding author on reasonable request.

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Acknowledgements

The authors acknowledge the support provided by Engr. Sajjad Ali and Danyal Ahmed in collecting data for this study. The authors also acknowledge the support provided by the Department of Urban and Infrastructure Engineering, NED University of Engineering and Technology, in conducting this research.

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Authors and Affiliations

  1. Department of Civil Engineering, University of Bahrain, Office 108 Building 27A, PO Box: 32028, Isa Town, Bahrain

    Uneb Gazder

  2. Sciences & Technology, Thar Institute of Engineering, NED University of Engineering & Technology, Karachi, Pakistan

    Mohammed Raza Mehdi

  3. College of Technological Innovation (CTI), Zayed University, Dubai, United Arab Emirates

    Fatma Outay

  4. School of Computer, Data and Mathematical Sciences, Western Sydney University, Sydney, Australia

    Mudassar Arsalan

Authors
  1. Uneb Gazder
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  2. Mohammed Raza Mehdi
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  3. Fatma Outay
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  4. Mudassar Arsalan
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Contributions

The authors confirm contribution to the paper as follows: study conception and design—Mohammed Raza Mehdi, Uneb Gazder; data collection—Mohammed Raza Mehdi; analysis and interpretation of results—Uneb Gazder, Mudassar Arslan, Fatma Outay; draft manuscript preparation—Mohammed Raza Mehdi, Uneb Gazder, Fatma Outay. All authors reviewed the results and approved the final version of the manuscript.

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Correspondence to Uneb Gazder.

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Gazder, U., Mehdi, M.R., Outay, F. et al. Noise level based equivalency factors for different mobility options within heterogeneous traffic flow. Pers Ubiquit Comput 27, 1681–1690 (2023). https://doi.org/10.1007/s00779-023-01741-0

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  • DOI: https://doi.org/10.1007/s00779-023-01741-0

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