Abstract
Mode choice of work trip makers residing in Srinagar during summer were estimated by using a multinomial logit model with statistical data processing software SPSS. 638 work trip maker samples were collected, of which 21 samples were rejected and finally 617 samples were used for model estimation. Several attributes such as travel cost, riding time, waiting time, vehicle ownership, travel distance and age are found to be significant for mode choice behavior of work trips. The model was calibrated using two third data sets and for validation test one- third of the data sets were used. The findings of the research will aid private transport providers, government and public transportation organizations in evading over/under-designing of demanded services and amenities and the making of acceptable choices. Prediction of the future intercity transport requirement and evaluation of present public transport in Srinagar can be estimated from the outcomes of this study.
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Khanday, S.A., Ahmed, M.A. (2020). Modelling and Analysis of Mode Choice Behaviour for Work Trips in Srinagar. In: Dawn, S., Balas, V., Esposito, A., Gope, S. (eds) Intelligent Techniques and Applications in Science and Technology. ICIMSAT 2019. Learning and Analytics in Intelligent Systems, vol 12. Springer, Cham. https://doi.org/10.1007/978-3-030-42363-6_9
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