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To bid or not to bid: An empirical study of the supply determinants of crowd-shipping

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  • Ermagun, Alireza
  • Stathopoulos, Amanda

Abstract

This study makes three contributions to the literature of crowd-shipping. First, we represent a national data set incorporating 16,850 crowd-shipping requests across the United States for the 2-year period of January 2015 through December 2016. Second, we develop a two-part model of supply defined by both the probability of receiving a bid from a crowd-courier, and the bid count. Model results along with elasticity measurements summarize the effects of variation in shipping request and package, built environment, and socioeconomic characteristics. Third, we report the sensitivity of elasticities over different segmentations to understand whether and to what extent the supply responsiveness varies across segments. Our results show that (1) supply is unevenly distributed across the U.S. at the block group level, (2) this geographical disparity is a function of not only the shipping request and service characteristics, but also the socioeconomic and built-environment attributes, (3) the supply has denser pockets in areas with a higher percentage of African-American population, high wage workers, and families with two or more vehicles, (4) the supply peters off in areas with higher population and employment densities, while, it is accumulated in geographical areas with higher destination accessibility and regional employment diversity, and (5) the out-of-state and the business-to-customer shipments present the highest elasticity in receiving a bid, while posted requests with a delivery deadline is the most inelastic segment. Transportation planners and crowd-shipping companies can use these results to implement improved supply creation, geographically targeted growth, and price discrimination strategies.

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  • Ermagun, Alireza & Stathopoulos, Amanda, 2018. "To bid or not to bid: An empirical study of the supply determinants of crowd-shipping," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 468-483.
    • Handle: RePEc:eee:transa:v:116:y:2018:i:c:p:468-483
    DOI: 10.1016/j.tra.2018.06.019
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    1. Nourinejad, Mehdi & Wenneman, Adam & Habib, Khandker Nurul & Roorda, Matthew J., 2014. "Truck parking in urban areas: Application of choice modelling within traffic microsimulation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 64(C), pages 54-64.
    2. 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.
    3. Greene, William, 2008. "Functional forms for the negative binomial model for count data," Economics Letters, Elsevier, vol. 99(3), pages 585-590, June.
    4. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555.
    5. Marcucci, Edoardo & Gatta, Valerio & Scaccia, Luisa, 2015. "Urban freight, parking and pricing policies: An evaluation from a transport providers’ perspective," Transportation Research Part A: Policy and Practice, Elsevier, vol. 74(C), pages 239-249.
    6. Abdelwahab, Walid M., 1998. "Elasticities of mode choice probabilities and market elasticities of demand: Evidence from a simultaneous mode choice/shipment-size freight transport model," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 34(4), pages 257-266, December.
    7. Wang, Yuan & Zhang, Dongxiang & Liu, Qing & Shen, Fumin & Lee, Loo Hay, 2016. "Towards enhancing the last-mile delivery: An effective crowd-tasking model with scalable solutions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 93(C), pages 279-293.
    8. Arvidsson, Niklas, 2013. "The milk run revisited: A load factor paradox with economic and environmental implications for urban freight transport," Transportation Research Part A: Policy and Practice, Elsevier, vol. 51(C), pages 56-62.
    9. Buntin, Melinda Beeuwkes & Zaslavsky, Alan M., 2004. "Too much ado about two-part models and transformation?: Comparing methods of modeling Medicare expenditures," Journal of Health Economics, Elsevier, vol. 23(3), pages 525-542, May.
    10. Greene,William H. & Hensher,David A., 2010. "Modeling Ordered Choices," Cambridge Books, Cambridge University Press, number 9780521194204.
    11. Tho V. Le & Satish V. Ukkusuri, 2018. "Selectivity correction in discrete-continuous models for the willingness to work as crowd-shippers and travel time tolerance," Papers 1810.00985, arXiv.org.
    12. Mehmann, Jens & Frehe, Volker & Teuteberg, Frank, 2015. "Crowd Logistics − A Literature Review and Maturity Model," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Kersten, Wolfgang & Blecker, Thorsten & Ringle, Christian M. (ed.), Innovations and Strategies for Logistics and Supply Chains: Technologies, Business Models and Risk Management. Proceedings of the Hamburg Internationa, volume 20, pages 117-145, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    13. Yang, Hai & Fung, C.S. & Wong, K.I. & Wong, S.C., 2010. "Nonlinear pricing of taxi services," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(5), pages 337-348, June.
    14. Federico Belotti & Partha Deb & Willard G. Manning & Edward C. Norton, 2015. "twopm: Two-part models," Stata Journal, StataCorp LP, vol. 15(1), pages 3-20, March.
    15. Arslan, A.M. & Agatz, N.A.H. & Kroon, L.G. & Zuidwijk, R.A., 2016. "Crowdsourced Delivery: A Dynamic Pickup and Delivery Problem with Ad-hoc Drivers," ERIM Report Series Research in Management ERS-2016-003-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    16. Archetti, Claudia & Savelsbergh, Martin & Speranza, M. Grazia, 2016. "The Vehicle Routing Problem with Occasional Drivers," European Journal of Operational Research, Elsevier, vol. 254(2), pages 472-480.
    17. Iseki, Hiroyuki, 2008. "Economies of scale in bus transit service in the USA: How does cost efficiency vary by agency size and level of contracting?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(8), pages 1086-1097, October.
    18. Kafle, Nabin & Zou, Bo & Lin, Jane, 2017. "Design and modeling of a crowdsource-enabled system for urban parcel relay and delivery," Transportation Research Part B: Methodological, Elsevier, vol. 99(C), pages 62-82.
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    Cited by:

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    3. Pourrahmani, Elham & Jaller, Miguel, 2021. "Crowdshipping in last mile deliveries: Operational challenges and research opportunities," Socio-Economic Planning Sciences, Elsevier, vol. 78(C).
    4. Mikael Kervall & Henrik Pålsson, 2022. "A Multi-Stakeholder Perspective on Barriers to a Fossil-Free Urban Freight System," Sustainability, MDPI, vol. 15(1), pages 1-20, December.
    5. Xiao Lin & Yoshinari Nishiki & Lóránt A. Tavasszy, 2020. "Performance and Intrusiveness of Crowdshipping Systems: An Experiment with Commuting Cyclists in The Netherlands," Sustainability, MDPI, vol. 12(17), pages 1-14, September.
    6. Yıldız, Barış, 2021. "Package routing problem with registered couriers and stochastic demand," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 147(C).
    7. Shen, Hui & Lin, Jane, 2020. "Investigation of crowdshipping delivery trip production with real-world data," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 143(C).
    8. 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.
    9. Bathke, Henrik & Hartmann, Evi, 2021. "Accepting a crowdsourced delivery - A choice-based conjoint analysis," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Jahn, Carlos & Kersten, Wolfgang & Ringle, Christian M. (ed.), Adapting to the Future: Maritime and City Logistics in the Context of Digitalization and Sustainability. Proceedings of the Hamburg International Conf, volume 32, pages 65-95, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.

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