IDEAS home Printed from https://ideas.repec.org/a/eee/transa/v205y2026ics0965856426000194.html

Understanding crowd-shipping acceptance: A hierarchical latent class personality-attitude hybrid choice model

Author

Listed:
  • Zhou, Dianqing
  • Rasouli, Soora
  • Wong, Melvin

Abstract

This study aims to explore how people’s reported trip characteristics, personality traits and attitudes are associated with their willingness to participate in crowd-shipping (CS) system. CS is an emerging concept aiming at reducing the footprint of dedicated delivery trips. Within this service, ordinary citizens can be matched with a parcel with the origin and destination of close proximity to the traveler’s start and end of the pre-planned trip. To measure the feasibility and potential of CS, a stated adaptation choice (SAC) experiment was conducted, offering two unlabeled options adapted to the reported trips of respondents, plus the possibility of rejecting the request. A hierarchical latent class personality-attitude hybrid choice model (HLCPA-HCM) is employed to capture the variation in preference across individuals, providing insights into the discrete heterogeneity of different types of travelers. The model is estimated using the data collected from an SAC experiment, distributed among 486 respondents in the Netherlands. The results confirm the hierarchical structure of personality traits and attitudes, so that personality traits affect attitudes and attitudes contribute to the class-membership probability. Trip characteristics such as the number of trip legs and the mode used in the pick-up leg, CS attributes such as detours and monetary incentives, as well as the share of social network being active in the CS system significantly influence the CS acceptance. These findings offer valuable guidance for CS operators in customizing the parcel allocation and help to foster the growth of CS services.

Suggested Citation

  • Zhou, Dianqing & Rasouli, Soora & Wong, Melvin, 2026. "Understanding crowd-shipping acceptance: A hierarchical latent class personality-attitude hybrid choice model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 205(C).
    • Handle: RePEc:eee:transa:v:205:y:2026:i:c:s0965856426000194
    DOI: 10.1016/j.tra.2026.104878
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0965856426000194
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.tra.2026.104878?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

    for a different version of it.

    References listed on IDEAS

    as
    1. Rafiq, Rezwana & McNally, Michael G., 2021. "Heterogeneity in Activity-travel Patterns of Public Transit Users: An Application of Latent Class Analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 152(C), pages 1-18.
    2. Tapia, Rodrigo J. & Kourounioti, Ioanna & Thoen, Sebastian & de Bok, Michiel & Tavasszy, Lori, 2023. "A disaggregate model of passenger-freight matching in crowdshipping services," Transportation Research Part A: Policy and Practice, Elsevier, vol. 169(C).
    3. Vredin Johansson, Maria & Heldt, Tobias & Johansson, Per, 2006. "The effects of attitudes and personality traits on mode choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(6), pages 507-525, July.
    4. Michele D. Simoni & Edoardo Marcucci & Valerio Gatta & Christian G. Claudel, 2020. "Potential last-mile impacts of crowdshipping services: a simulation-based evaluation," Transportation, Springer, vol. 47(4), pages 1933-1954, August.
    5. Devari, Aashwinikumar & Nikolaev, Alexander G. & He, Qing, 2017. "Crowdsourcing the last mile delivery of online orders by exploiting the social networks of retail store customers," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 105(C), pages 105-122.
    6. Sina Mohri, Seyed & Ghaderi, Hadi & Nassir, Neema & Thompson, Russell G., 2023. "Crowdshipping for sustainable urban logistics: A systematic review of the literature," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 178(C).
    7. Shane Frederick, 2005. "Cognitive Reflection and Decision Making," Journal of Economic Perspectives, American Economic Association, vol. 19(4), pages 25-42, Fall.
    8. Lee Cronbach, 1951. "Coefficient alpha and the internal structure of tests," Psychometrika, Springer;The Psychometric Society, vol. 16(3), pages 297-334, September.
    9. Qi, Qiang & Rasouli, Soora & Feng, Tao, 2025. "Acceptance of crowd-sourced delivery tasks using diverse transportation mode options," Transport Policy, Elsevier, vol. 173(C).
    10. Chua, Rachel & Wu, Min & Yuen, Kum Fai, 2025. "Sustainable crowdshipping: Navigating technological fit and security risks," Technology in Society, Elsevier, vol. 81(C).
    11. Arvindh Rajasekar & Arul Ramanatha Pillai & Rajesh Elangovan & Satyanarayana Parayitam, 2023. "Risk capacity and investment priority as moderators in the relationship between big-five personality factors and investment behavior: a conditional moderated moderated-mediation model," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(3), pages 2091-2123, June.
    12. Marcel Paulssen & Dirk Temme & Akshay Vij & Joan Walker, 2014. "Values, attitudes and travel behavior: a hierarchical latent variable mixed logit model of travel mode choice," Transportation, Springer, vol. 41(4), pages 873-888, July.
    13. Weina Qu & Hongli Sun & Yan Ge, 2021. "The effects of trait anxiety and the big five personality traits on self-driving car acceptance," Transportation, Springer, vol. 48(5), pages 2663-2679, October.
    14. Fessler, Andreas & Thorhauge, Mikkel & Mabit, Stefan & Haustein, Sonja, 2022. "A public transport-based crowdshipping concept as a sustainable last-mile solution: Assessing user preferences with a stated choice experiment," Transportation Research Part A: Policy and Practice, Elsevier, vol. 158(C), pages 210-223.
    15. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    16. Molin, Eric & Mokhtarian, Patricia & Kroesen, Maarten, 2016. "Multimodal travel groups and attitudes: A latent class cluster analysis of Dutch travelers," Transportation Research Part A: Policy and Practice, Elsevier, vol. 83(C), pages 14-29.
    17. Mohri, Seyed Sina & Nassir, Neema & Thompson, Russell G. & Lavieri, Patricia Sauri, 2024. "Public transportation-based crowd-shipping initiatives: Are users willing to participate? Why not?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 182(C).
    18. Butler, Luke & Yigitcanlar, Tan & Paz, Alexander & Areed, Wala, 2022. "How can smart mobility bridge the first/last mile gap? Empirical evidence on public attitudes from Australia," Journal of Transport Geography, Elsevier, vol. 104(C).
    19. Caiati, Valeria & Rasouli, Soora & Timmermans, Harry, 2020. "Bundling, pricing schemes and extra features preferences for mobility as a service: Sequential portfolio choice experiment," Transportation Research Part A: Policy and Practice, Elsevier, vol. 131(C), pages 123-148.
    20. Cebeci, Merve Seher & Tapia, Rodrigo Javier & Kroesen, Maarten & de Bok, Michiel & Tavasszy, Lóránt, 2023. "The effect of trust on the choice for crowdshipping services," Transportation Research Part A: Policy and Practice, Elsevier, vol. 170(C).
    21. Joseph F. Hair & Christian M. Ringle & Siegfried P. Gudergan & Andreas Fischer & Christian Nitzl & Con Menictas, 2019. "Partial least squares structural equation modeling-based discrete choice modeling: an illustration in modeling retailer choice," Business Research, Springer;German Academic Association for Business Research, vol. 12(1), pages 115-142, April.
    22. Gössling, Stefan & Kees, Jessica & Litman, Todd, 2022. "The lifetime cost of driving a car," Ecological Economics, Elsevier, vol. 194(C).
    23. Punel, Aymeric & Stathopoulos, Amanda, 2017. "Modeling the acceptability of crowdsourced goods deliveries: Role of context and experience effects," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 105(C), pages 18-38.
    24. Andrew Daly & Stephane Hess & Bhanu Patruni & Dimitris Potoglou & Charlene Rohr, 2012. "Using ordered attitudinal indicators in a latent variable choice model: a study of the impact of security on rail travel behaviour," Transportation, Springer, vol. 39(2), pages 267-297, March.
    25. Iman Dayarian & Martin Savelsbergh, 2020. "Crowdshipping and Same‐day Delivery: Employing In‐store Customers to Deliver Online Orders," Production and Operations Management, Production and Operations Management Society, vol. 29(9), pages 2153-2174, September.
    26. Fessler, Andreas & Cash, Philip & Thorhauge, Mikkel & Haustein, Sonja, 2023. "A public transport based crowdshipping concept: Results of a field test in Denmark," Transport Policy, Elsevier, vol. 134(C), pages 106-118.
    Full references (including those not matched with items on IDEAS)

    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. Rossolov, Oleksandr & Susilo, Yusak O., 2024. "Are consumers ready to pay extra for crowd-shipping e-groceries and why? A hybrid choice analysis for developing economies," Transportation Research Part A: Policy and Practice, Elsevier, vol. 187(C).
    2. Rossolov, Oleksandr & Botsman, Anastasiia & Lyfenko, Serhii & Susilo, Yusak O., 2026. "Gender heterogeneity in couriers' mode choice behaviours: Crowd-shipping for E-groceries," Journal of Transport Geography, Elsevier, vol. 130(C).
    3. Kim, Seheon & Rasouli, Soora, 2022. "The influence of latent lifestyle on acceptance of Mobility-as-a-Service (MaaS): A hierarchical latent variable and latent class approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 159(C), pages 304-319.
    4. Chua, Rachel & Wu, Min & Yuen, Kum Fai, 2025. "Sustainable crowdshipping: Navigating technological fit and security risks," Technology in Society, Elsevier, vol. 81(C).
    5. Mohri, Seyed Sina & Nassir, Neema & Thompson, Russell G. & Lavieri, Patricia Sauri & Ghaderi, Hadi, 2025. "Crowd-shipping systems with public transport passengers: Operational planning," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 194(C).
    6. Garcia-Herrera, Alisson & Serrano-Hernandez, Adrian & Faulin, Javier, 2025. "Understanding the dynamics of crowdshipping in last-mile distribution within urban mobility: A comprehensive framework," Socio-Economic Planning Sciences, Elsevier, vol. 101(C).
    7. de Oliveira Leite Nascimento, Carla & Pira, Michela Le & Fazio, Martina & Marcucci, Edoardo & Gatta, Valerio & Pluchino, Alessandro, 2025. "Customers in action: Involving crowdshippers in e-grocery deliveries," Transportation Research Part A: Policy and Practice, Elsevier, vol. 199(C).
    8. Mikkel Thorhauge & Elisabetta Cherchi & Joan L. Walker & Jeppe Rich, 2019. "The role of intention as mediator between latent effects and behavior: application of a hybrid choice model to study departure time choices," Transportation, Springer, vol. 46(4), pages 1421-1445, August.
    9. Cebeci, Merve Seher & de Bok, Michiel & Tapia, Rodrigo & Nadi, Ali & Tavasszy, Lóránt, 2025. "Feasibility of crowdshipping for outlier parcels in last-mile delivery," Research in Transportation Economics, Elsevier, vol. 112(C).
    10. Ghaderi, Hadi & Zhang, Lele & Tsai, Pei-Wei & Woo, Jihoon, 2022. "Crowdsourced last-mile delivery with parcel lockers," International Journal of Production Economics, Elsevier, vol. 251(C).
    11. Mohri, Seyed Sina & Nassir, Neema & Thompson, Russell G. & Lavieri, Patricia Sauri, 2024. "Public transportation-based crowd-shipping initiatives: Are users willing to participate? Why not?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 182(C).
    12. Cebeci, Merve Seher & Tapia, Rodrigo Javier & Kroesen, Maarten & de Bok, Michiel & Tavasszy, Lóránt, 2023. "The effect of trust on the choice for crowdshipping services," Transportation Research Part A: Policy and Practice, Elsevier, vol. 170(C).
    13. Wang, Yang & Sun, Yu & Lai, Jianhui & Chen, Yanyan & Holguín-Veras, José, 2025. "An incentive-based delivery scheme and its effect evaluated via explainable machine learning," Transport Policy, Elsevier, vol. 162(C), pages 559-574.
    14. Wang, Qian & Simoni, Michele D., 2025. "Crowdshipping preferences among public transit riders: Insights from Stockholm, Sweden," Research in Transportation Economics, Elsevier, vol. 113(C).
    15. Tapia, Rodrigo J. & Kourounioti, Ioanna & Thoen, Sebastian & de Bok, Michiel & Tavasszy, Lori, 2023. "A disaggregate model of passenger-freight matching in crowdshipping services," Transportation Research Part A: Policy and Practice, Elsevier, vol. 169(C).
    16. Bouscasse, H., 2018. "Integrated choice and latent variable models: A literature review on mode choice," Working Papers 2018-07, Grenoble Applied Economics Laboratory (GAEL).
    17. Ji, Yuxiong & Zhou, Minhang & Zheng, Yujing & Shen, Yu & Du, Yuchuan, 2024. "Urban passenger-and-package sharing transportation by e-hailing taxis: A simulation-based pricing analysis in shanghai," Transport Policy, Elsevier, vol. 156(C), pages 138-151.
    18. Kriswardhana, Willy & Esztergár-Kiss, Domokos, 2025. "The role of intermodality and environmental consciousness in the preferences for MaaS bundles: A hybrid choice modeling approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 191(C).
    19. Tang, Hongyu & Feng, Tao, 2026. "Modeling heterogeneous individual choices for multi-person household MaaS bundles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 203(C).
    20. Tran, Yen & Yamamoto, Toshiyuki & Sato, Hitomi & Miwa, Tomio & Morikawa, Takayuki, 2020. "The analysis of influences of attitudes on mode choice under highly unbalanced mode share patterns," Journal of choice modelling, Elsevier, vol. 36(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:eee:transa:v:205:y:2026:i:c:s0965856426000194. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/547/description#description .

    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.