Abstract :

Evaluating travel time and cost burden for working in Jalalabad city is one of the key challenges for employees to use their modes of transportation for working place and as well as to examine the travel time difficulties encountered by those traveling to work in Jalalabad city. The everyday commute in urban areas has a substantial influence on the overall quality of life as a whole with longer travel times and congestion putting a strain on commuters’ fulfilment, efficiency, and happiness. Understanding and properly measuring these are critical for politicians and urban planners when developing successful transportation systems and policies. To meet the goals, multiple methods for estimating trip times were used, including survey-based techniques. To gather data on travel behaviors and trip times, declared preference questionnaires and indicated preference surveys were undertaken. The research investigated the average commute time and expense for several professional subjects and places, providing light on the differences in challenges faced by persons in various sectors. In addition, the overall average trip time and cost for various means of transportation were investigated to determine the effectiveness and affordability of every choice. The study’s findings add to the current research by focusing on Jalalabad city, Nangarhar and evaluating commute time burdens for work in the city. This small study wants to improve Jalalabad’s transit system and employees’ well-being by identifying suitable modes of transportation for commuters and important variables impacting these burdens and suggesting feasible solutions. The findings give useful insights for politicians and urban planners in developing specific programs to reduce commuter travel time barriers.

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Keywords :

Commute, Employee, Estimation, Mode of Transportation, Travel Cost., Travel time

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References :

1. Burd, C., Burrows, M., & Mckenzie, B. (2021). Travel Time to Work In The United States: 2019. American Community Survey Reports, United Stsates Census Bureau, 2, 2021.
2. Bharvsar, P. (2020). Impact Of Travel Time On Commuter Well-Being. Transportain Research Procedia, 48.
3. Chen, C. &. (2016). Travel Time Estimation Model And Survey For Large-Scale Urban Road IET Intelligent Transport Systems, 288.
4. Frank, L., Bradley, M., Kavage, S., Chapman, J., & Lawton, T. K. (2008). Urban Form, Travel Time, And Cost Relationships With Tour Complexity And Mode Choice. Transportation,
5. Gong, W. &. (2017). Estimating The Travel Time Burden For Work. Transportation Research Part A, 24.
6. Hong, S. C. (2020). Travel Time Estimation For Toll Expressway By Fusing Multiple Probe Data Sources. IEEE Access, 54.
7. Schwanen, T., & Dijst, M. (2002). Travel-Time Ratios For Visits to The Workplace: The Relationship Between Commuting Time And Work Duration. Transportation Research Part A: Policy And Practice, 36(7), 573–592.
8. Singh, K. M. (2008). An Assessment Of Technology Transfer System In Afghanistan: The Case Of Balkh And Nangarhar Provinces. Available At SSRN 2242308.
9. Skabardonis, A., & Geroliminis, N. (2005). Real-Time Estimation Of Travel Times On Signalized Arterials. Transportation And Traffic Theory, 387–406.
10. Singh, K. M. (2008). An Assessment Of Technology Transfer System In Afghanistan: The Case Of Balkh And Nangarhar Provinces. Available At SSRN 2242308.
11. Wang, Y., Zheng, Y., & Xue, Y. (2014). Travel Time Estimation Of A Path Using Sparse Trajectories. 25–34.
12. Zhao, P., & Wan, J. (2021). Land Use And Travel Burden Of Residents In Urban Fringe And Rural Areas: An Evaluation Of Urban-Rural Integration Initiatives In Beijing. Land Use Policy, 103, 105309.