IDEAS home Printed from https://ideas.repec.org/a/kap/transp/v47y2020i5d10.1007_s11116-019-10019-5.html
   My bibliography  Save this article

To compete or not compete: exploring the relationships between motorcycle-based ride-sourcing, motorcycle taxis, and public transport in the Jakarta metropolitan area

Author

Listed:
  • Muhammad Zudhy Irawan

    (Universitas Gadjah Mada)

  • Prawira Fajarindra Belgiawan

    (Institut Teknologi Bandung)

  • Ari Krisna Mawira Tarigan

    (University of Stavanger)

  • Fajar Wijanarko

    (Universitas Gadjah Mada)

Abstract

In the last decade, the emergence of ride-sourcing services has transformed personal trip behavior. In the context of Indonesia, ride-sourcing services have evolved into two modes of transport: motorcycle-based and car-based. The presence of such services has strongly impacted consumers’ choices of travel mode. However, the main question is whether the ride-sourcing service is a complement or a substitute for the existing public transport and conventional taxis. Using 438 motorcycle-based, ride-sourcing consumers, we applied a structural equation model to investigate the relationships between motorcycle-based ride-sourcing, motorcycle taxis, and public transport in the Jakarta Metropolitan Area. The result shows that motorcycle-based ride-sourcing works as a complementary mode for the TransJakarta bus and Jakarta commuter train, but as a competitor with the motorcycle taxis. Contrarily, motorcycle taxis supported the existence of motorcycle-based ride-sourcing. The study also found that individuals use motorcycle taxis as feeders to transit stops. Individuals commonly use motorcycle taxis and motorcycle-based ride-sourcing for short travel distances. The demographic features and technology use experience also drive individuals’ choice of the three transportation modes. Integrating public transport with motorcycle-based ride-source services, and legalizing motorcycle taxis and motorcycle-based ride sourcing as forms of public transport are two main proposed policies that seek to increase public transport demand, ensure service quality, safety, and fares, and reduce the potential conflict between all three.

Suggested Citation

  • Muhammad Zudhy Irawan & Prawira Fajarindra Belgiawan & Ari Krisna Mawira Tarigan & Fajar Wijanarko, 2020. "To compete or not compete: exploring the relationships between motorcycle-based ride-sourcing, motorcycle taxis, and public transport in the Jakarta metropolitan area," Transportation, Springer, vol. 47(5), pages 2367-2389, October.
    • Handle: RePEc:kap:transp:v:47:y:2020:i:5:d:10.1007_s11116-019-10019-5
    DOI: 10.1007/s11116-019-10019-5
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11116-019-10019-5
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s11116-019-10019-5?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Joewono, Tri B. & Tarigan, Ari K.M. & Susilo, Yusak O., 2016. "Road-based public transportation in urban areas of Indonesia: What policies do users expect to improve the service quality?," Transport Policy, Elsevier, vol. 49(C), pages 114-124.
    2. Golob, Thomas F., 2003. "Structural equation modeling for travel behavior research," Transportation Research Part B: Methodological, Elsevier, vol. 37(1), pages 1-25, January.
    3. Farag, Sendy & Schwanen, Tim & Dijst, Martin & Faber, Jan, 2007. "Shopping online and/or in-store? A structural equation model of the relationships between e-shopping and in-store shopping," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(2), pages 125-141, February.
    4. Watkins, Kari Edison & Ferris, Brian & Borning, Alan & Rutherford, G. Scott & Layton, David, 2011. "Where Is My Bus? Impact of mobile real-time information on the perceived and actual wait time of transit riders," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(8), pages 839-848, October.
    5. Felipe F. Dias & Patrícia S. Lavieri & Venu M. Garikapati & Sebastian Astroza & Ram M. Pendyala & Chandra R. Bhat, 2017. "A behavioral choice model of the use of car-sharing and ride-sourcing services," Transportation, Springer, vol. 44(6), pages 1307-1323, November.
    6. World Bank, 2015. "World Development Indicators 2015," World Bank Publications - Books, The World Bank Group, number 21634, December.
    7. Keemin Sohn & Jiyoung Yun, 2009. "Separation of car-dependent commuters from normal-choice riders in mode-choice analysis," Transportation, Springer, vol. 36(4), pages 423-436, July.
    8. Rafael Milani Medeiros & Fábio Duarte & Faris Achmad & Arman Jalali, 2018. "Merging ICT and informal transport in Jakarta's ojek system," Transportation Planning and Technology, Taylor & Francis Journals, vol. 41(3), pages 336-352, April.
    9. Denstadli, Jon Martin, 2004. "Impacts of videoconferencing on business travel: the Norwegian experience," Journal of Air Transport Management, Elsevier, vol. 10(6), pages 371-376.
    10. Hall, Jonathan D. & Palsson, Craig & Price, Joseph, 2018. "Is Uber a substitute or complement for public transit?," Journal of Urban Economics, Elsevier, vol. 108(C), pages 36-50.
    11. Hagen, Jonas Xaver & Pardo, CarlosFelipe & Valente, Johanna Burbano, 2016. "Motivations for motorcycle use for Urban travel in Latin America: A qualitative study," Transport Policy, Elsevier, vol. 49(C), pages 93-104.
    12. Melo, Patrícia C. & de Abreu e Silva, João, 2017. "Home telework and household commuting patterns in Great Britain," Transportation Research Part A: Policy and Practice, Elsevier, vol. 103(C), pages 1-24.
    13. Xinyu Cao & Zhiyi Xu & Frank Douma, 2012. "The interactions between e-shopping and traditional in-store shopping: an application of structural equations model," Transportation, Springer, vol. 39(5), pages 957-974, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Chalermpong, Saksith & Ratanawaraha, Apiwat & Anuchitchanchai, Ornicha, 2023. "Motorcycle taxis' varying degrees of complementarity and substitution with public transit in Bangkok," Journal of Transport Geography, Elsevier, vol. 108(C).
    2. Tri Basuki Joewono & Ariel Matthew & Muhamad Rizki, 2021. "Loyalty of Paratransit Users in the Era of Competition with Ride Sourcing," Sustainability, MDPI, vol. 13(22), pages 1-20, November.
    3. Kumar, Akshay & Gupta, Akshay & Parida, Manoranjan & Chauhan, Vivek, 2022. "Service quality assessment of ride-sourcing services: A distinction between ride-hailing and ride-sharing services," Transport Policy, Elsevier, vol. 127(C), pages 61-79.
    4. Fariha Riska Yumita & Muhammad Zudhy Irawan & Siti Malkhamah & Muhammad Iqbal Habibi Kamal, 2021. "School Commuting: Barriers, Abilities and Strategies toward Sustainable Public Transport Systems in Yogyakarta, Indonesia," Sustainability, MDPI, vol. 13(16), pages 1-18, August.
    5. Kirtonia, Sajeeb & Sun, Yanshuo, 2022. "Evaluating rail transit's comparative advantages in travel cost and time over taxi with open data in two U.S. cities," Transport Policy, Elsevier, vol. 115(C), pages 75-87.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Kunbo Shi & Long Cheng & Jonas De Vos & Yongchun Yang & Wanpeng Cao & Frank Witlox, 2021. "How does purchasing intangible services online influence the travel to consume these services? A focus on a Chinese context," Transportation, Springer, vol. 48(5), pages 2605-2625, October.
    2. Jonas De Vos & Long Cheng & Frank Witlox, 2021. "Do changes in the residential location lead to changes in travel attitudes? A structural equation modeling approach," Transportation, Springer, vol. 48(4), pages 2011-2034, August.
    3. Yu Ding & Huapu Lu, 2017. "The interactions between online shopping and personal activity travel behavior: an analysis with a GPS-based activity travel diary," Transportation, Springer, vol. 44(2), pages 311-324, March.
    4. Muhamad Rizki & Tri Basuki Joewono & Dimas Bayu Endrayana Dharmowijoyo & Dwi Prasetyanto, 2021. "The Effects of On- and Before- Journey Advantages Using Ride-Sourcing in Indonesia," Sustainability, MDPI, vol. 13(19), pages 1-20, October.
    5. Ding, Yu & Lu, Huapu, 2016. "Activity participation as a mediating variable to analyze the effect of land use on travel behavior: A structural equation modeling approach," Journal of Transport Geography, Elsevier, vol. 52(C), pages 23-28.
    6. Rick Grahn & Corey D. Harper & Chris Hendrickson & Zhen Qian & H. Scott Matthews, 2020. "Socioeconomic and usage characteristics of transportation network company (TNC) riders," Transportation, Springer, vol. 47(6), pages 3047-3067, December.
    7. Lee, Richard J. & Sener, Ipek N. & Mokhtarian, Patricia L. & Handy, Susan L., 2017. "Relationships between the online and in-store shopping frequency of Davis, California residents," Transportation Research Part A: Policy and Practice, Elsevier, vol. 100(C), pages 40-52.
    8. Sheng, Lu & Wu, Xiao & He, Yan, 2023. "Impact of residential relocation on activity-travel behaviors between household couples: A case study of Kunming, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 174(C).
    9. Bounie, Nathan & Adoue, François & Koning, Martin & L'Hostis, Alain, 2019. "What value do travelers put on connectivity to mobile phone and Internet networks in public transport? Empirical evidence from the Paris region," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 158-177.
    10. Zhou, Yiwei & Wang, Xiaokun (Cara), 2014. "Explore the relationship between online shopping and shopping trips: An analysis with the 2009 NHTS data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 70(C), pages 1-9.
    11. Schaefer, Jaclyn S. & Figliozzi, Miguel A., 2021. "Spatial accessibility and equity analysis of Amazon parcel lockers facilities," Journal of Transport Geography, Elsevier, vol. 97(C).
    12. Li, Shengxiao (Alex), 2023. "Revisiting the relationship between information and communication technologies and travel behavior: An investigation of older Americans," Transportation Research Part A: Policy and Practice, Elsevier, vol. 172(C).
    13. Ilahi, Anugrah & Belgiawan, Prawira F. & Balac, Milos & Axhausen, Kay W., 2021. "Understanding travel and mode choice with emerging modes; a pooled SP and RP model in Greater Jakarta, Indonesia," Transportation Research Part A: Policy and Practice, Elsevier, vol. 150(C), pages 398-422.
    14. Haitao Yu & Zhong-Ren Peng, 2020. "The impacts of built environment on ridesourcing demand: A neighbourhood level analysis in Austin, Texas," Urban Studies, Urban Studies Journal Limited, vol. 57(1), pages 152-175, January.
    15. Colaço, Rui & de Abreu e Silva, João, 2022. "Exploring the e-shopping geography of Lisbon: Assessing online shopping adoption for retail purchases and food deliveries using a 7-day shopping survey," Journal of Retailing and Consumer Services, Elsevier, vol. 65(C).
    16. Tirachini, Alejandro & del Río, Mariana, 2019. "Ride-hailing in Santiago de Chile: Users’ characterisation and effects on travel behaviour," Transport Policy, Elsevier, vol. 82(C), pages 46-57.
    17. Alonso-González, María J. & Hoogendoorn-Lanser, Sascha & van Oort, Niels & Cats, Oded & Hoogendoorn, Serge, 2020. "Drivers and barriers in adopting Mobility as a Service (MaaS) – A latent class cluster analysis of attitudes," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 378-401.
    18. Choo, Sangho, 2003. "Aggregate Relationships between Telecommunications and Travel: Structural Equation Modeling of Time Series Data," University of California Transportation Center, Working Papers qt4p78h623, University of California Transportation Center.
    19. Berrebi, Simon J. & Watkins, Kari E., 2020. "Who’s ditching the bus?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 136(C), pages 21-34.
    20. Limon Barua & Bo Zou & Yan Zhou & Yulin Liu, 2023. "Modeling household online shopping demand in the U.S.: a machine learning approach and comparative investigation between 2009 and 2017," Transportation, Springer, vol. 50(2), pages 437-476, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:kap:transp:v:47:y:2020:i:5:d:10.1007_s11116-019-10019-5. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.