Pricing for Crowdsourcing Delivery Two-Sided Platform and Social Welfare

Wenjie Wang () and Jinghan Yao ()
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Wenjie Wang: Donghua University, Glorious Sun School of Business and Management
Jinghan Yao: Donghua University, Glorious Sun School of Business and Management

Chapter Chapter 1 in IEIS 2024, 2026, pp 1-17 from Springer

Abstract: Abstract Crowdsourcing logistics platforms have grown rapidly in recent years. In order to address the challenge of insufficient supply during peak demand periods, we construct the dynamic pricing model to adjust supply-demand balance based on optimal control theory. We consider partial multi-homing riders based on Hotelling model. Furthermore, we establish social welfare model and study riders’ welfare and social welfare. The optimal two-sided platform dynamic pricing strategy and social welfare are solved out in this study. Our result reveals that two-sided platform dynamic pricing strategy effectively adjust supply-demand balance during peak demand periods. Social welfare increases with the rise of platform commission rates.

Keywords: Crowdsourcing logistics platform; Two-sided platform dynamic pricing; Social welfare; Optimal control theory (search for similar items in EconPapers)
Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnopch:978-981-96-8276-8_1

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DOI: 10.1007/978-981-96-8276-8_1

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