A Unique Metro Choice Behaviour of Suburban Rail Passengers in India
Tóm tắt
This study aims to analyse the inter-rail modal shift behaviour of suburban rail passengers to examine ridership for the proposed metro extension corridor in Chennai, India. This investigation was conducted in 2019 as part of a feasibility study for the extension of the metro line spanning between Chennai Airport and Kilambakkam, a southern suburb of Chennai. The same origin–destination pair is also served by the suburban rail system. It is an extension of the operating line from Washermenpet to the airport of the Phase I metro project. For this inter-rail competition study, a sample of 272 suburban rail passengers covering work, education and other trip purposes were interviewed using a stated preference questionnaire. Six stated scenarios were considered for analyses which included travel time saving by using the metro along with the fare difference between metro and bus. The study revealed that suburban rail passengers were less concerned about travel time saving and gave priority to fare difference irrespective of trip purpose. This shows the unique metro choice behaviour of suburban rail travellers in the Indian context.
Tài liệu tham khảo
Tischer ML, Dobson R (1979) An empirical analysis of behavioural intentions of single-occupant auto drivers to shift to high occupancy vehicles. Transp Res 13A:143–158
Nurdden A, Rahmat RAOK, Ismail A (2007) Effect of transportation policies on modal shift from private car to public transport in Malaysia. J Appl Sci 7(7):1014–1018
Aditya VS, Thomas M, Krishna Rao KV (2016) Mode shift behavior of commuters due to the introduction of new rail transit mode. Trans Res Procedia 25:2603–2618
Selvakumar M, Abishek Reddy M, Sathish V, Venkatesh R (2018) Potential influence of metro on bus: a case study. J Inst Eng Ser A 99(2):379–384
Das S, Boruah A, Banerjee A, Raoniar R, Nama S, Maurya AK (2021) Impact of COVID-19: a radical modal shift from public to private transport mode. Trans Policy 109:1–11
Satiennam T, Jaensirisak S, Satiennam W, Detdamrong S (2016) Potential for modal shift by passenger car and motorcycle users towards Bus Rapid Transit (BRT) in an Asian developing city. IATSS Res 39:121–129
Majeed S, Batool Z (2016) Identification of factors affecting modal shift in lahore: factors affecting modal shift in Lahore. Proc Pak Acad Sci Phys Comput Sci 53(4):373–379
Vedagiri P, Arasan VT (2010) Modelling modal shift due to the enhanced level of bus service. Transport 24(2):121–128
Wang Y, Li L, Wang Z, Lv T, Wang L (2013) Mode shift behavior impacts from the introduction of metro service: case study of Xi’an, China. J Urban Plann Dev 139(3):216–225
Census of India (2011) District Census Handbook Chennai. Series 34, Part XII-B, Directorate of Census Operations, Tamil Nadu
Hyderabad Metro Rail Limited (HMRL) https://hmrl.co.in/index.html. Accessed on 2.10.2022
Asian Development Bank (2021) Mumbai metro transforming transport: contributing towards an equitable, safer and cleaner city, 1–98
Khaki AM, Zargari SA, Moayedfar R (2009) Developing the composed probability model to predict household trip production (a case study of Isfahan city). Transport 24(1):30–36
Batty P, Palacin R, González-Gil A (2015) Challenges and opportunities in developing urban modal shift. Travel Behav Soc 2(2):109–123
Abdel-Aal MMM (2017) Value of time determination for the city of Alexandria based on a disaggregate binary mode choice model. Alexandria Eng J 56:567–578
Wright PH, Ashford NJ (1989) Transportation engineering: planning and design, 3rd edn. Wiley, New York
Hensher DA (1994) Stated preference analysis of travel choice: the state of practice. Transportation 21:107–133
Niggol Seo S (2017) The behavioral economics of climate change adaptation behaviors, global public goods, breakthrough technologies, and policy-making. Academic Press, London
Borghetti F, Caballini C, Carboni A, Grossato G, Maja R, Barabino B (2022) The use of drones for last-mile delivery: a numerical case study in Milan Italy. Sustainability 14:1–20
Kanafani A (1983) Transportation demand analysis. McGraw-Hill Book Company, New York
Swierstra AB, Nes R, v, Molin E J E, (2017) Modelling travel time reliability in public transport route choice behaviour. Eur J Transport Infrastruct Res 17(2):263–278
Bruce da Silva T, Baptista P, Santos Silva CA, Santos L (2022) Assessment of decarbonization alternatives for passenger transportation in Rio de Janeiro Brazil. Trans Res Part D Trans Environ 103(3):103161