Subject : Business Methedology
Topic: Mumbai Local Train
Name : Chanchal Sunil Bhosle
Roll.No: 10004
1. Commuter travel cost estimation at different levels of crowding in a suburban rail system: a case study of Mumbai
This research values travel attributes such as waiting time, in-vehicle time and crowding levels using behavioural data obtained from Mumbai local train commuters through a stated preference experiment. Actual on-board crowding images are considered to perceive the crowding more realistically by the train users.
2. Increased Travel Time with increase in crowding level
A multinomial logit modelling technique is used for estimating commuter travel cost (time) at different crowding levels. Results show that there is an increase in perceived in-vehicle travel time with the increase in crowding level. Traveling in a crowded seating condition increases the travel cost by 0.81 min per 1 min travel.
3. Boarding Mumbai trains: the mutual shaping of intersectionality and mobility
This article analyses how intersectionality and mobility shape each other in the case of deaf women who board the Mumbai suburban trains, which have separate compartments reserved for women and for people with disabilities.
4. intersectionality shapes mobility in that it entails a complex and changeable, context-dependent set of strategies and decisions.
Mobility shapes intersectionality in that by being mobile, people assert or develop different aspects of their lived experiences, preferences and aspirations.
5. Supporting decentralised urban governance : training women municipal councillors in Mumbai, India
MC is responsible for the civic infrastructure and administration of the city and some suburbs. Brihanmumbai Municipal Corporation has been formed with functions to improve the infrastructure of town
6. Valuing of attributes influencing the attractiveness of suburban train service in Mumbai city: A stated preference approach
The paper presents valuing of qualitative and quantitative travel attributes influencing the attractiveness of suburban train service in Mumbai city, India. A stated preference experiment is designed to capture the data of sub-urban train mode choice behavior. The behavioral data are analyzed using different modeling techniques such as multinomial logit (MNL) and mixed logit (ML).
7. Optimization of High-Speed Railway Station Location Selection Based on Accessibility and Environmental Impact
This utility-based quantification and identification process would be useful to planners in assessing an area and determining the most suitable station locations for an HSR project. The proposed model was used to identify the potential station locations along the Mumbai-Ahmedabad HSR corridor in India and to compare the obtained results with the planned locations of the project.
8. A Station Location Identification Model for an Integrated Interoperable High-Speed Rail System
A heuristic approach is used to evaluate and obtain the candidate set of station locations that maximizes ridership and minimizes travel time, such that an integrated interoperable HSR and intercity corridor can be developed. The Mumbai–Ahmedabad conventional intercity corridor is used as a case study to demonstrate the efficacy of the proposed model by identifying possible HSR station locations.
9. Effects of COVID-19 on rail passengers’ crowding perceptions
This study investigated the effect of the spread of COVID-19 on crowding perception and crowding disutility in metro rail system of Tehran. Two surveys were conducted before and during the COVID-19. The stated preference data were analyzed by mixed logit models with the lognormal distribution. Results revealed that the value of crowding increased during the pandemic.
10. Cost-of-crowding model for light rail train and platform length
Train and platform lengths are important factors in the planning and expansion phases of a network. Existing cost models that determine optimal headway by combining passenger and operational costs provide headways that are small and close to a logistical minimum (2–3 min)
this type of standard waiting cost model is not sensitive to train and platform length. In this paper, on-board crowding is used as a cost factor and a cost-of-crowding model is developed from supporting psychological research.
Conclusion :
The study shows the influence of headway time and train ride time associated with a particular crowding level (expressed in density of standing passengers/m2) in choosing the sub-urban train mode by calculating their willingness-to-pay (WTP) values and highlights the importance of WTP for addressing policy issues in the reduction of in-vehicle crowding level. The present study documents new findings of the effect of crowding level on train ride time in the context of a developing country and suggests some important directions for future suburban train transport crowding valuation research.
Author
• Aghabayk, Kayvan & Esmailpour, Javad & Shiwakoti, Nirajan, 2021. “Effects of COVID-19 on rail passengers’ crowding perceptions,” Transportation Research Part A: Policy and Practice, Elsevier, vol. 154(C), pages 186-202.
• Apte, Prakash M., 2005. “Financing Transportation In Fiscally Constrained Times: Transportation Strategies For Mumbai, India,” 46th Annual Transportation Research Forum, Washington, D.C., March 6-8, 2005 208183, Transportation Research Forum.
• Annelies Kusters, 2019. “Boarding Mumbai trains: the mutual shaping of intersectionality and mobility,” Mobilities, Taylor & Francis Journals, vol. 14(6), pages 841-858, November.
• Basu, Debasis & Hunt, John Douglas, 2012. “Valuing of attributes influencing the attractiveness of suburban train service in Mumbai city: A stated preference approach,” Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(9), pages 1465-1476.
• Holzner, B.M. & de Wit, J.W., 2003. “Supporting decentralised urban governance : training women municipal councillors in Mumbai, India,” ISS Working Papers – General Series 19145, International Institute of Social Studies of Erasmus University Rotterdam (ISS), The Hague.
• Luan, Xiaojie & Corman, Francesco, 2022. “Passenger-oriented traffic control for rail networks: An optimization model considering crowding effects on passenger choices and train operations,” Transportation Research Part B: Methodological, Elsevier, vol. 158(C), pages 239-272.
• Prasanta K. Sahu & Gajanand Sharma & Anirban Guharoy, 2018. “Commuter travel cost estimation at different levels of crowding in a suburban rail system: a case study of Mumbai,” Public Transport, Springer, vol. 10(3), pages 379-398, December.
• Raghuram, G. & Udayakumar, Prashanth D., 2016. “Dedicated High Speed Rail Network in India: Issues in Development,” IIMA Working Papers WP2016-03-58, Indian Institute of Management Ahmedabad, Research and Publication Department.
• Roy, Sandeepan & Maji, Avijit, 2019. “Optimization of High-Speed Railway Station Location Selection Based on Accessibility and Environmental Impact,” ADBI Working Papers 953, Asian Development Bank Institute.
• Roy, Sandeepan & Maji, Avijit, 2019. “A Station Location Identification Model for an Integrated Interoperable High-Speed Rail System,” ADBI Working Papers 956, Asian Development Bank Institute.
• W. Klumpenhouwer & S. C. Wirasinghe, 2016. “Cost-of-crowding model for light rail train and platform length,” Public Transport, Springer, vol. 8(1), pages 85-101, March.