A household-based online cooked meal delivery demand generation model

Liyuan Chen, Kaili Wang and Khandker Nurul Habib

Transportation Research Part A: Policy and Practice, 2024, vol. 190, issue C

Abstract: Online cooked meal deliveries (CMD) have become prevalent with the advancement of on-demand delivery services offered by vendors such as Uber Eats and DoorDash. Thus, the development of a CMD demand generation model holds significant importance for CMD vendors, consumers, and policymakers. The model serves as a strategic tool for CMD vendors to address consumer needs. At the same time, it also holds substantial relevance for policymakers seeking to understand CMD demand and formulate effective regulatory measures for CMD operations. This paper presents such a modelling framework. The model is developed under the behavioural principle of random utility maximization (RUM) and explicitly represents various socioeconomic characteristics in the CMD demand generation process. The model is estimated using a Greater Toronto Area, Canada dataset. The empirical model provides insights into the factors influencing week-long CMD usage. The model also offers assessments for households’ consumer surplus brought by CMD, which can inform public policies through well-fare analysis.

Keywords: Online food delivery; B2C e-commerce; Freight demand model; Radom utility maximization theory; Consumer surplus (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0965856424003100
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:transa:v:190:y:2024:i:c:s0965856424003100

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01

DOI: 10.1016/j.tra.2024.104262

Access Statistics for this article

Transportation Research Part A: Policy and Practice is currently edited by John (J.M.) Rose

More articles in Transportation Research Part A: Policy and Practice from Elsevier
Bibliographic data for series maintained by Catherine Liu ().