A simulation-based study to determine the negative externalities of hyper-local food delivery

Sinha Dipyaman; Pandit Debapratim

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A simulation-based study to determine the negative externalities of hyper-local food delivery

机译：A simulation-based study to determine the negative externalities of hyper-local food delivery

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Hyper-local food delivery involves delivering food from neighborhood eateries by gig workers, mostly using motorized two-wheelers. An accurate assessment of the negative external costs will help decision-makers sustainably regulate such services. As a first step, this research develops an agent-based simulation of a hyper-local food delivery system. Using primary data from Kolkata, India, the simulator estimates the fleet size, the average distance traveled per order, the average number of orders delivered and the average idle time spent by a delivery worker, at varying order volumes. The negative externalities estimated are the emissions per order and the spatio-temporal parking demand generated by the delivery fleet. The results show that at an order volume of 2100, on average, the distance traveled per order is 5.85 km, the orders delivered per worker is 15, the idle time spent is 59.2% and each delivery results in the emission of 163.08 gm CO2.

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《Transportation research, Part D. Transport and environment》 |2021年第11期|103071.1-103071.17|共17页
作者
Sinha Dipyaman; Pandit Debapratim;
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作者单位

Indian Inst Technol Kharagpur, Kharagpur 721302, W Bengal, India;

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原文格式 PDF
正文语种英语
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关键词
On-demand meal delivery; Freight emissions; Parking demand; Agent-based simulation; Gig work; Platform economy;

A simulation-based study to determine the negative externalities of hyper-local food delivery

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