IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v11y2019i5p1262-d209505.html
   My bibliography  Save this article

Flexible Mobility On-Demand: An Environmental Scan

Author

Listed:
  • Sohani Liyanage

    (Department of Civil and Construction Engineering, Swinburne University of Technology, PO Box 218 Hawthorn, Australia)

  • Hussein Dia

    (Department of Civil and Construction Engineering, Swinburne University of Technology, PO Box 218 Hawthorn, Australia)

  • Rusul Abduljabbar

    (Department of Civil and Construction Engineering, Swinburne University of Technology, PO Box 218 Hawthorn, Australia)

  • Saeed Asadi Bagloee

    (Department of Civil and Construction Engineering, Swinburne University of Technology, PO Box 218 Hawthorn, Australia)

Abstract

On-demand shared mobility is increasingly being promoted as an influential strategy to address urban transport challenges in large and fast-growing cities. The appeal of this form of transport is largely attributed to its convenience, ease of use, and affordability made possible through digital platforms and innovations. The convergence of the shared economy with a number of established and emerging technologies—such as artificial intelligence (AI), Internet of Things (IoT), and Cloud and Fog computing—is helping to expedite their deployment as a new form of public transport. Recently, this has manifested itself in the form of Flexible Mobility on Demand (FMoD) solutions, aimed at meeting personal travel demands through flexible routing and scheduling. Increasingly, these shared mobility solutions are blurring the boundaries with existing forms of public transport, particularly bus operations. This paper presents an environmental scan and analysis of the technological, social, and economic impacts surrounding disruptive technology-driven shared mobility trends. Specifically, the paper includes an examination of current and anticipated external factors that are of direct relevance to collaborative and low carbon mobility. The paper also outlines how these trends are likely to influence the mobility industries now and into the future. The paper collates information from a wide body of literature and reports on findings from actual ‘use cases’ that exist today which have used these disruptive mobility solutions to deliver substantial benefits to travellers around the world. Finally, the paper provides stakeholders with insight into identifying and responding to the likely needs and impacts of FMoD and informs their policy and strategy positions on the implementation of smart mobility systems in their cities and jurisdictions.

Suggested Citation

  • Sohani Liyanage & Hussein Dia & Rusul Abduljabbar & Saeed Asadi Bagloee, 2019. "Flexible Mobility On-Demand: An Environmental Scan," Sustainability, MDPI, vol. 11(5), pages 1-39, February.
  • Handle: RePEc:gam:jsusta:v:11:y:2019:i:5:p:1262-:d:209505
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/11/5/1262/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/11/5/1262/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Liddle, Brantley, 2013. "Urban density and climate change: a STIRPAT analysis using city-level data," Journal of Transport Geography, Elsevier, vol. 28(C), pages 22-29.
    2. Rusul Abduljabbar & Hussein Dia & Sohani Liyanage & Saeed Asadi Bagloee, 2019. "Applications of Artificial Intelligence in Transport: An Overview," Sustainability, MDPI, vol. 11(1), pages 1-24, January.
    3. Shaheen, Susan & Cohen, Adam & Zohdy, Ismail & Kock, Beaudry, 2016. "Smartphone Applications to Influence Travel Choices: Practices and Policies," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt8dq801g7, Institute of Transportation Studies, UC Berkeley.
    4. Hongze Li & Bingkang Li & Hao Lu, 2017. "Carbon Dioxide Emissions, Economic Growth, and Selected Types of Fossil Energy Consumption in China: Empirical Evidence from 1965 to 2015," Sustainability, MDPI, vol. 9(5), pages 1-14, April.
    5. Shahbaz, Muhammad & Loganathan, Nanthakumar & Muzaffar, Ahmed Taneem & Ahmed, Khalid & Ali Jabran, Muhammad, 2016. "How urbanization affects CO2 emissions in Malaysia? The application of STIRPAT model," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 83-93.
    6. Firnkorn, Jörg & Müller, Martin, 2011. "What will be the environmental effects of new free-floating car-sharing systems? The case of car2go in Ulm," Ecological Economics, Elsevier, vol. 70(8), pages 1519-1528, June.
    7. Eran Ben-Elia & Robert Ishaq & Yoram Shiftan, 2013. "“If only I had taken the other road...”: Regret, risk and reinforced learning in informed route-choice," Transportation, Springer, vol. 40(2), pages 269-293, February.
    8. Kleijnen, Jack P. C. & Sargent, Robert G., 2000. "A methodology for fitting and validating metamodels in simulation," European Journal of Operational Research, Elsevier, vol. 120(1), pages 14-29, January.
    9. Shaheen, Susan A & Cohen, Adam P, 2007. "Growth in Worldwide Carsharing: An International Comparison," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt2zv240pp, Institute of Transportation Studies, UC Berkeley.
    10. Shen, Yu & Zhang, Hongmou & Zhao, Jinhua, 2018. "Integrating shared autonomous vehicle in public transportation system: A supply-side simulation of the first-mile service in Singapore," Transportation Research Part A: Policy and Practice, Elsevier, vol. 113(C), pages 125-136.
    11. Stephen M. Robinson, 1996. "Analysis of Sample-Path Optimization," Mathematics of Operations Research, INFORMS, vol. 21(3), pages 513-528, August.
    12. Michael H. Schneider & Stavros A. Zenios, 1990. "A Comparative Study of Algorithms for Matrix Balancing," Operations Research, INFORMS, vol. 38(3), pages 439-455, June.
    13. Vincent A.C. van den Berg & Erik T. Verhoef, 2015. "Robot Cars and Dynamic Bottleneck Congestion: The Effects on Capacity, Value of Time and Preference Heterogeneity," Tinbergen Institute Discussion Papers 15-062/VIII, Tinbergen Institute, revised 11 Jul 2016.
    14. Asadi Bagloee, Saeed & Ceder, Avishai (Avi), 2011. "Transit-network design methodology for actual-size road networks," Transportation Research Part B: Methodological, Elsevier, vol. 45(10), pages 1787-1804.
    15. Saberi, Meead & Ghamami, Mehrnaz & Gu, Yi & Shojaei, Mohammad Hossein (Sam) & Fishman, Elliot, 2018. "Understanding the impacts of a public transit disruption on bicycle sharing mobility patterns: A case of Tube strike in London," Journal of Transport Geography, Elsevier, vol. 66(C), pages 154-166.
    16. Cláudia A. Soares Machado & Nicolas Patrick Marie De Salles Hue & Fernando Tobal Berssaneti & José Alberto Quintanilha, 2018. "An Overview of Shared Mobility," Sustainability, MDPI, vol. 10(12), pages 1-21, November.
    17. Correia, Gonçalo & Viegas, José Manuel, 2011. "Carpooling and carpool clubs: Clarifying concepts and assessing value enhancement possibilities through a Stated Preference web survey in Lisbon, Portugal," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(2), pages 81-90, February.
    18. Liu, Tao & Ceder, Avishai (Avi), 2015. "Analysis of a new public-transport-service concept: Customized bus in China," Transport Policy, Elsevier, vol. 39(C), pages 63-76.
    19. Mulley, Corinne & Nelson, John D., 2009. "Flexible transport services: A new market opportunity for public transport," Research in Transportation Economics, Elsevier, vol. 25(1), pages 39-45.
    20. Lane, Bradley W., 2012. "A time-series analysis of gasoline prices and public transportation in US metropolitan areas," Journal of Transport Geography, Elsevier, vol. 22(C), pages 221-235.
    21. Ioannis Bellos & Mark Ferguson & L. Beril Toktay, 2017. "The Car Sharing Economy: Interaction of Business Model Choice and Product Line Design," Manufacturing & Service Operations Management, INFORMS, vol. 19(2), pages 185-201, May.
    22. van den Berg, Vincent A.C. & Verhoef, Erik T., 2016. "Autonomous cars and dynamic bottleneck congestion: The effects on capacity, value of time and preference heterogeneity," Transportation Research Part B: Methodological, Elsevier, vol. 94(C), pages 43-60.
    23. Davison, Lisa & Enoch, Marcus & Ryley, Tim & Quddus, Mohammed & Wang, Chao, 2014. "A survey of Demand Responsive Transport in Great Britain," Transport Policy, Elsevier, vol. 31(C), pages 47-54.
    24. Agatz, Niels & Erera, Alan & Savelsbergh, Martin & Wang, Xing, 2012. "Optimization for dynamic ride-sharing: A review," European Journal of Operational Research, Elsevier, vol. 223(2), pages 295-303.
    25. Jiyeon Jung & Yoonmo Koo, 2018. "Analyzing the Effects of Car Sharing Services on the Reduction of Greenhouse Gas (GHG) Emissions," Sustainability, MDPI, vol. 10(2), pages 1-17, February.
    26. Itf, 2015. "Urban Mobility System Upgrade: How shared self-driving cars could change city traffic," International Transport Forum Policy Papers 6, OECD Publishing.
    27. Dowling, Robyn & Kent, Jennifer, 2015. "Practice and public–private partnerships in sustainable transport governance: The case of car sharing in Sydney, Australia," Transport Policy, Elsevier, vol. 40(C), pages 58-64.
    28. Hensher, David A., 2017. "Future bus transport contracts under a mobility as a service (MaaS) regime in the digital age: Are they likely to change?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 98(C), pages 86-96.
    29. Brake, Jenny & Mulley, Corinne & Nelson, John D. & Wright, Steve, 2007. "Key lessons learned from recent experience with Flexible Transport Services," Transport Policy, Elsevier, vol. 14(6), pages 458-466, November.
    30. Nelson, John D. & Wright, Steve & Masson, Brian & Ambrosino, Giorgio & Naniopoulos, Aristotelis, 2010. "Recent developments in Flexible Transport Services," Research in Transportation Economics, Elsevier, vol. 29(1), pages 243-248.
    31. David Silver & Aja Huang & Chris J. Maddison & Arthur Guez & Laurent Sifre & George van den Driessche & Julian Schrittwieser & Ioannis Antonoglou & Veda Panneershelvam & Marc Lanctot & Sander Dieleman, 2016. "Mastering the game of Go with deep neural networks and tree search," Nature, Nature, vol. 529(7587), pages 484-489, January.
    32. Elliot Fishman & Simon Washington & Narelle Haworth, 2013. "Bike Share: A Synthesis of the Literature," Transport Reviews, Taylor & Francis Journals, vol. 33(2), pages 148-165, March.
    33. Abdmouleh, Zeineb & Gastli, Adel & Ben-Brahim, Lazhar & Haouari, Mohamed & Al-Emadi, Nasser Ahmed, 2017. "Review of optimization techniques applied for the integration of distributed generation from renewable energy sources," Renewable Energy, Elsevier, vol. 113(C), pages 266-280.
    34. Peraphan Jittrapirom & Valeria Caiati & Anna-Maria Feneri & Shima Ebrahimigharehbaghi & María J. Alonso González & Jishnu Narayan, 2017. "Mobility as a Service: A Critical Review of Definitions, Assessments of Schemes, and Key Challenges," Urban Planning, Cogitatio Press, vol. 2(2), pages 13-25.
    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. Karol Tucki & Małgorzata Krzywonos & Olga Orynycz & Adam Kupczyk & Anna Bączyk & Izabela Wielewska, 2021. "Analysis of the Possibility of Fulfilling the Paris Agreement by the Visegrad Group Countries," Sustainability, MDPI, vol. 13(16), pages 1-21, August.
    2. Sohani Liyanage & Hussein Dia, 2020. "An Agent-Based Simulation Approach for Evaluating the Performance of On-Demand Bus Services," Sustainability, MDPI, vol. 12(10), pages 1-20, May.
    3. Phattarasuda Witchayaphong & Surachet Pravinvongvuth & Kunnawee Kanitpong & Kazushi Sano & Suksun Horpibulsuk, 2020. "Influential Factors Affecting Travelers’ Mode Choice Behavior on Mass Transit in Bangkok, Thailand," Sustainability, MDPI, vol. 12(22), pages 1-18, November.
    4. Lisa Dang & Widar von Arx & Jonas Frölicher, 2021. "The Impact of On-Demand Collective Transport Services on Sustainability: A Comparison of Various Service Options in a Rural and an Urban Area of Switzerland," Sustainability, MDPI, vol. 13(6), pages 1-27, March.
    5. Qiuchen, Wang & Jannicke, Hauge Baalsrud & Sebastiaan, Meijer, 2022. "The complexity of stakeholder influence on MaaS: A study on multi-stakeholder perspectives in Shenzhen self-driving mini-bus case," Research in Transportation Economics, Elsevier, vol. 94(C).
    6. Laura Gebhardt & Mascha Brost & Alexandra König, 2019. "An Inter- and Transdisciplinary Approach to Developing and Testing a New Sustainable Mobility System," Sustainability, MDPI, vol. 11(24), pages 1-22, December.
    7. Gillian Harrison & Astrid Gühnemann & Simon Shepherd, 2020. "The Business Case for a Journey Planning and Ticketing App—Comparison between a Simulation Analysis and Real-World Data," Sustainability, MDPI, vol. 12(10), pages 1-21, May.
    8. Sybille Bauriedl & Anke Strüver, 2020. "Platform Urbanism: Technocapitalist Production of Private and Public Spaces," Urban Planning, Cogitatio Press, vol. 5(4), pages 267-276.
    9. Nadia Giuffrida & Michela Le Pira & Giuseppe Inturri & Matteo Ignaccolo & Giovanni Calabrò & Blochin Cuius & Riccardo D’Angelo & Alessandro Pluchino, 2020. "On-Demand Flexible Transit in Fast-Growing Cities: The Case of Dubai," Sustainability, MDPI, vol. 12(11), pages 1-15, May.

    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. Sohani Liyanage & Hussein Dia, 2020. "An Agent-Based Simulation Approach for Evaluating the Performance of On-Demand Bus Services," Sustainability, MDPI, vol. 12(10), pages 1-20, May.
    2. Jokinen, Jani-Pekka & Sihvola, Teemu & Mladenovic, Milos N., 2019. "Policy lessons from the flexible transport service pilot Kutsuplus in the Helsinki Capital Region," Transport Policy, Elsevier, vol. 76(C), pages 123-133.
    3. Becker, Henrik & Becker, Felix & Abe, Ryosuke & Bekhor, Shlomo & Belgiawan, Prawira F. & Compostella, Junia & Frazzoli, Emilio & Fulton, Lewis M. & Guggisberg Bicudo, Davi & Murthy Gurumurthy, Krishna, 2020. "Impact of vehicle automation and electric propulsion on production costs for mobility services worldwide," Transportation Research Part A: Policy and Practice, Elsevier, vol. 138(C), pages 105-126.
    4. Tang, Zhe-Yi & Tian, Li-Jun & Wang, David Z.W., 2021. "Multi-modal morning commute with endogenous shared autonomous vehicle penetration considering parking space constraint," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 151(C).
    5. Shibayama, Takeru & Emberger, Günter, 2020. "New mobility services: Taxonomy, innovation and the role of ICTs," Transport Policy, Elsevier, vol. 98(C), pages 79-90.
    6. Golalikhani, Masoud & Oliveira, Beatriz Brito & Carravilla, Maria Antónia & Oliveira, José Fernando & Antunes, António Pais, 2021. "Carsharing: A review of academic literature and business practices toward an integrated decision-support framework," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 149(C).
    7. Wong, Yale Z. & Hensher, David A. & Mulley, Corinne, 2020. "Mobility as a service (MaaS): Charting a future context," Transportation Research Part A: Policy and Practice, Elsevier, vol. 131(C), pages 5-19.
    8. Konrad Steiner & Stefan Irnich, 2018. "Strategic Planning for Integrated Mobility-on-Demand and Urban Public Bus Networks," Working Papers 1819, Gutenberg School of Management and Economics, Johannes Gutenberg-Universität Mainz.
    9. Hörcher, Daniel & Tirachini, Alejandro, 2021. "A review of public transport economics," Economics of Transportation, Elsevier, vol. 25(C).
    10. Biao Yin & Liu Liu & Nicolas Coulombel & Vincent Viguie, 2018. "Appraising the environmental benefits of ride-sharing: The Paris region case study," Post-Print hal-01695082, HAL.
    11. van den Berg, Vincent A.C. & Meurs, Henk & Verhoef, Erik T., 2022. "Business models for Mobility as an Service (MaaS)," Transportation Research Part B: Methodological, Elsevier, vol. 157(C), pages 203-229.
    12. Philipp Ströhle & Christoph M. Flath & Johannes Gärttner, 2019. "Leveraging Customer Flexibility for Car-Sharing Fleet Optimization," Service Science, INFORMS, vol. 53(1), pages 42-61, February.
    13. Yan Zhou & Sangmoon Park, 2020. "The Regional Determinants of the New Venture Formation in China’s Car-Sharing Economy," Sustainability, MDPI, vol. 13(1), pages 1-22, December.
    14. Dikas, G. & Minis, I., 2014. "Scheduled paratransit transport systems," Transportation Research Part B: Methodological, Elsevier, vol. 67(C), pages 18-34.
    15. Perboli, Guido & Ferrero, Francesco & Musso, Stefano & Vesco, Andrea, 2018. "Business models and tariff simulation in car-sharing services," Transportation Research Part A: Policy and Practice, Elsevier, vol. 115(C), pages 32-48.
    16. Yoon-Young Chun & Mitsutaka Matsumoto & Kiyotaka Tahara & Kenichiro Chinen & Hideki Endo, 2019. "Exploring Factors Affecting Car Sharing Use Intention in the Southeast-Asia Region: A Case Study in Java, Indonesia," Sustainability, MDPI, vol. 11(18), pages 1-26, September.
    17. van Engelen, Matti & Cats, Oded & Post, Henk & Aardal, Karen, 2018. "Enhancing flexible transport services with demand-anticipatory insertion heuristics," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 110(C), pages 110-121.
    18. Gelauff, George & Ossokina, Ioulia & Teulings, Coen, 2019. "Spatial and welfare effects of automated driving: Will cities grow, decline or both?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 121(C), pages 277-294.
    19. Becker, Henrik & Balac, Milos & Ciari, Francesco & Axhausen, Kay W., 2020. "Assessing the welfare impacts of Shared Mobility and Mobility as a Service (MaaS)," Transportation Research Part A: Policy and Practice, Elsevier, vol. 131(C), pages 228-243.
    20. Ryley, Tim J. & A. Stanley, Peter & P. Enoch, Marcus & M. Zanni, Alberto & A. Quddus, Mohammed, 2014. "Investigating the contribution of Demand Responsive Transport to a sustainable local public transport system," Research in Transportation Economics, Elsevier, vol. 48(C), pages 364-372.

    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:gam:jsusta:v:11:y:2019:i:5:p:1262-:d:209505. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.