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Assessing commuters’ perceptions towards improvement of intermediate public transport as access modes to metro stations

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  • Kar, Manaswinee
  • Sadhukhan, Shubhajit
  • Parida, Manoranjan

Abstract

The study considers the perception of Metro commuters to investigate the priority areas of interventions for improving the service quality of Intermediate Public Transport (IPT) as an access mode to the Metro stations in Delhi. Tablet-based face-to-face surveys were conducted to collect responses from 1121 commuters towards perceived importance and satisfaction ratings of 18 service quality attributes under study on a 6-point Likert scale. Collected responses were analysed using Revised Importance Performance Analysis. Implicit importance values of all the attributes were calculated to derive the factor structures and management schemes using the Fuzzy C-means clustering technique. The priority attributes were identified by comparing the factor structures and management schemes. Finally, the study proposed a priority order of resource allocation to improve attributes influencing IPT as access modes to the Metro stations. The study findings identified that ‘Transportation Subsidy’, ‘Accessibility in Bad Weather’ and ‘Universal Design Considerations’ were top priority attributes that demanded resource allocation for improvement. ‘Access Time’, ‘In-vehicle Travel Time’, ‘Luggage Space’, ‘Hygiene’, ‘Security’, ‘Riding Comfort’, ‘Frequency’ and ‘Travel Fare’ were operating at optimum service levels, hence, occupied a second-level priority in terms of resource allocation to ensure the levels were maintained. Two low-priority attributes, ‘Information at IPT stop’ and ‘On-board Information’ occupied a third-level priority in terms of resource allocation for improvement. Attributes under ‘Possible Overkill’, namely, ‘Safety’, ‘Convenience’, ‘Waiting Time’, ‘Egress Time’ and ‘Seat Availability’, suggested transferring resources towards improving other priority service attributes. The study findings can assist transport planners and policymakers in formulating policies for improving the performance of IPT as access modes to Metro stations in Delhi and extending the approach to other contexts to supplement the mass transit systems suitably and increase their ridership.

Suggested Citation

  • Kar, Manaswinee & Sadhukhan, Shubhajit & Parida, Manoranjan, 2022. "Assessing commuters’ perceptions towards improvement of intermediate public transport as access modes to metro stations," Transport Policy, Elsevier, vol. 129(C), pages 140-155.
    • Handle: RePEc:eee:trapol:v:129:y:2022:i:c:p:140-155
    DOI: 10.1016/j.tranpol.2022.10.011
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    References listed on IDEAS

    as
    1. Sadhukhan, Shubhajit & Banerjee, Uttam K. & Maitra, Bhargab, 2017. "Rationality of fare increment for improvement of transfer facilities at metro stations: An experience in Kolkata," Transport Policy, Elsevier, vol. 58(C), pages 31-38.
    2. Wu, Xinyi & Cao, Jason & Huting, Joel, 2018. "Using three-factor theory to identify improvement priorities for express and local bus services: An application of regression with dummy variables in the Twin Cities," Transportation Research Part A: Policy and Practice, Elsevier, vol. 113(C), pages 184-196.
    3. Ari K.M. Tarigan & Yusak O. Susilo & Tri B. Joewono, 2014. "Segmentation of paratransit users based on service quality and travel behaviour in Bandung, Indonesia," Transportation Planning and Technology, Taylor & Francis Journals, vol. 37(2), pages 200-218, March.
    4. Harding, Simon E. & Badami, Madhav G. & Reynolds, Conor C.O. & Kandlikar, Milind, 2016. "Auto-rickshaws in Indian cities: Public perceptions and operational realities," Transport Policy, Elsevier, vol. 52(C), pages 143-152.
    5. Saiyad, Gulnazbanu & Srivastava, Minal & Rathwa, Dipak, 2022. "Exploring determinants of feeder mode choice behavior using Artificial Neural Network: Evidences from Delhi metro," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 598(C).
    6. Zhang, Hongchao & Groshong, Lisa & Stanis, Sonja Wilhelm & Morgan, Mark, 2021. "Comparing onsite electronic survey distribution methods," Annals of Tourism Research, Elsevier, vol. 87(C).
    7. Roy, Subhojit & Basu, Debasis, 2020. "Selection of intervention areas for improving travel condition of walk-accessed bus users with a focus on their accessibility: An experience in Bhubaneswar," Transport Policy, Elsevier, vol. 96(C), pages 29-39.
    8. Cheranchery, Munavar Fairooz & Maitra, Bhargab, 2021. "Improving quality of ordinary bus service in Kolkata city: Integrating conflicting requirements of users and transit operator," Transport Policy, Elsevier, vol. 111(C), pages 17-27.
    9. Gadepalli, Ravi & Tiwari, Geetam & Bolia, Nomes, 2020. "Role of user's socio-economic and travel characteristics in mode choice between city bus and informal transit services: Lessons from household surveys in Visakhapatnam, India," Journal of Transport Geography, Elsevier, vol. 88(C).
    10. Kunhikrishnan, Parthan & Srinivasan, Karthik K., 2018. "Investigating behavioral differences in the choice of distinct Intermediate Public Transport (IPT) modes for work trips in Chennai city," Transport Policy, Elsevier, vol. 61(C), pages 111-122.
    11. Sharma, Deepa & Pandit, Debapratim, 2021. "Determining the level of service measures to evaluate service quality of fixed-route shared motorized para-transit services," Transport Policy, Elsevier, vol. 100(C), pages 176-186.
    12. Wei-Jaw Deng & Ying-Feng Kuo & Wen-Chin Chen, 2008. "Revised importance--performance analysis: three-factor theory and benchmarking," The Service Industries Journal, Taylor & Francis Journals, vol. 28(1), pages 37-51, January.
    13. Alonso, Borja & Barreda, Rosa & dell’Olio, Luigi & Ibeas, Angel, 2018. "Modelling user perception of taxi service quality," Transport Policy, Elsevier, vol. 63(C), pages 157-164.
    14. Gutiérrez, Aaron & Domènech, Antoni & Zaragozí, Benito & Miravet, Daniel, 2020. "Profiling tourists' use of public transport through smart travel card data," Journal of Transport Geography, Elsevier, vol. 88(C).
    15. Mandhani, Jyoti & Nayak, Jogendra Kumar & Parida, Manoranjan, 2020. "Interrelationships among service quality factors of Metro Rail Transit System: An integrated Bayesian networks and PLS-SEM approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 140(C), pages 320-336.
    16. Prasad, Prashant & Maitra, Bhargab, 2019. "Identifying areas of interventions for improvement of shared modes for school trips," Transportation Research Part A: Policy and Practice, Elsevier, vol. 121(C), pages 122-135.
    17. Lai, Ivan Ka Wai & Hitchcock, Michael, 2016. "A comparison of service quality attributes for stand-alone and resort-based luxury hotels in Macau: 3-Dimensional importance-performance analysis," Tourism Management, Elsevier, vol. 55(C), pages 139-159.
    18. Rahman, Farzana & Das, Tanmay & Hadiuzzaman, Md & Hossain, Sanjana, 2016. "Perceived service quality of paratransit in developing countries: A structural equation approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 93(C), pages 23-38.
    19. Tri Joewono & Hisashi Kubota, 2007. "User satisfaction with paratransit in competition with motorization in indonesia: anticipation of future implications," Transportation, Springer, vol. 34(3), pages 337-354, May.
    20. Wen, Chieh-Hua & Wang, Wei-Chung & Fu, Chiang, 2012. "Latent class nested logit model for analyzing high-speed rail access mode choice," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(2), pages 545-554.
    21. Ajayi Julius & Aworemi Remi & Wojuade Christopher & Adebayo Toyin, 2020. "Problems Affecting the Accessibility of Physically-Challenged Individuals to Intermediate Public Transport Services in Oyo State, Nigeria," Logistics, Supply Chain, Sustainability and Global Challenges, Sciendo, vol. 11(1), pages 114-120, February.
    22. Chen, Kuan-Yu, 2014. "Improving importance-performance analysis: The role of the zone of tolerance and competitor performance. The case of Taiwan's hot spring hotels," Tourism Management, Elsevier, vol. 40(C), pages 260-272.
    23. Phun, Veng Kheang & Kato, Hironori & Chalermpong, Saksith, 2019. "Paratransit as a connective mode for mass transit systems in Asian developing cities: Case of Bangkok in the era of ride-hailing services," Transport Policy, Elsevier, vol. 75(C), pages 27-35.
    24. Cervero, Robert & Golub, Aaron, 2007. "Informal transport: A global perspective," Transport Policy, Elsevier, vol. 14(6), pages 445-457, November.
    25. Harding, Simon & Kandlikar, Milind, 2017. "Explaining the rapid emergence of battery-rickshaws in New Delhi: Supply-demand, regulation and political mobilisation," World Development Perspectives, Elsevier, vol. 7, pages 22-27.
    26. G. Barbato & E. M. Barini & G. Genta & R. Levi, 2011. "Features and performance of some outlier detection methods," Journal of Applied Statistics, Taylor & Francis Journals, vol. 38(10), pages 2133-2149.
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