Consumer preferences for on-demand transport in Australia

被引:40
|
作者
Vij, Akshay [1 ]
Ryan, Stacey [2 ]
Sampson, Spring [3 ]
Harris, Susan [2 ]
机构
[1] Univ South Australia, Inst Choice, WL5-41,Level 5 Way Lee Bldg,City West Campus, Adelaide, SA 5000, Australia
[2] Intelligent Transport Syst ITS Australia, 23-574 Plummer St, Port Melbourne, Vic 3207, Australia
[3] Harvest Insights, Level 1,378 Clarendon St, Melbourne, Vic 3205, Australia
关键词
RESPONSIVE TRANSPORT; CHOICE MODEL; SERVICES; BARRIERS; TRANSIT; POLICY;
D O I
10.1016/j.tra.2019.12.026
中图分类号
F [经济];
学科分类号
02 ;
摘要
On-demand transport (ODT) refers to adaptive transport services that use a fleet of vehicles to provide shared flexible transport to consumers, when and where they need it. This study surveyed 3,985 geographically and demographically representative Australians nationwide, to understand consumer demand and willingness to pay for ODT in Australia. Our analysis finds that the current market for ODT services in Australia is small. For example, for an ODT service that costs roughly the same as UberX's ridesharing service, and offers comparable level-of-service, our analysis predicts that only 17 per cent of the Australian population can be expected to use the service a few times a week or more. However, shared electric autonomous vehicles could significantly change the business case for ODT services, by enabling on-demand door-to-door transport services at a fractional cost of similar existing services. Our analysis finds that while consumers are willing to pay, on average, 0.28$/km more to avoid sharing a vehicle with other passengers, 0.17$/km more for door-to-door service, and 0.10$/km to be able to book the service in real time, cost is the most important determinant of ODT use (of the service attributes included in our analysis). For an ODT service that provides the same level-of-service as UberX, but at a fractional cost of $0.30 per km, 31 per cent of the Australian population can be expected to use the service a few times a week or more. And this figure is likely to be larger once we account for more long-term changes in lifestyles that might accompany the introduction of these services. We find that frequency of ODT use is strongly correlated with age and lifecycle stage: young individuals who are employed full-time are likely to use ODT most frequently; older adults who have retired from the workforce and whose children have left home are likely to be infrequent users. Overall, our analysis indicates that ODT services have the ability to both increase public transport use among existing public transport customers, and to draw new customers to public transport services.
引用
收藏
页码:823 / 839
页数:17
相关论文
共 50 条
  • [1] Flexible and local: understanding how on-demand transport serves rural communities
    Loyola, Miguel
    Nelson, John D.
    TRANSPORTATION PLANNING AND TECHNOLOGY, 2024,
  • [2] Consumer preferences and electricity pricing reform in Western Australia
    Tayal, Dev
    Evers, Uwana
    UTILITIES POLICY, 2018, 54 : 115 - 124
  • [3] Consumer preferences for Mobility-as-a-Service (MaaS) in Australia
    Vij, Akshay
    Ryan, Stacey
    Sampson, Spring
    Harris, Susan
    TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2020, 117 (117)
  • [4] How to increase demand for carp? Consumer attitudes and preferences in Germany and Poland
    Zander, Katrin
    Feucht, Yvonne
    BRITISH FOOD JOURNAL, 2020, 122 (11): : 3267 - 3282
  • [5] EVALUATING CONSUMER PREFERENCES FOR HEALTH-CARE SERVICES IN RURAL AUSTRALIA
    HUMPHREYS, JS
    WEINAND, HC
    AUSTRALIAN GEOGRAPHER, 1991, 22 (01) : 44 - 56
  • [6] Suitable placement for on-demand Transport (SPOT): A systematic approach to network integration
    Ho, Chinh Q.
    Kieu, Minh
    Yeh, Chia-Jung
    RESEARCH IN TRANSPORTATION BUSINESS AND MANAGEMENT, 2025, 60
  • [7] Potential of on-demand services for urban travel
    Gerzinic, Nejc
    van Oort, Niels
    Hoogendoorn-Lanser, Sascha
    Cats, Oded
    Hoogendoorn, Serge
    TRANSPORTATION, 2023, 50 (04) : 1289 - 1321
  • [8] Design of mixed fixed-flexible bus public transport networks by tracking the paths of on-demand vehicles☆
    Fielbaum, Andres
    Alonso-Mora, Javier
    TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2024, 168
  • [9] On-demand Data Integration On the Cloud
    Ghafour, Samer Abdul
    Barhamgi, Mahmoud
    Ghodous, Parisa
    2014 IEEE 7TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING (CLOUD), 2014, : 924 - 927
  • [10] Integrated Demand Responsive transport in Low-Demand Areas: A case study of Canberra, Australia
    Mortazavi, Amir
    Ghasri, Milad
    Ray, Tapabrata
    TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT, 2024, 127