Social Research on Food Safety and Vendor Management based on Big Data Analysis: Take Tianjin Street Food Management as an Example

Muchen Cao

2021

Abstract

The street-trafficking economy has played a huge role in Chinese cities, especially after the epidemic. However, concerns about street vendors’ hygiene and crowded working conditions may affect consumers’ purchases of street food. This study investigated the food safety knowledge of 111 consumers and the expectations of street vendors. The author also observed the food handling behavior of 100 street vendors in an automatic vending area designated by the Xiqing District of Tianjin, a first-tier city in China. The author analyzes and discusses the collected data through big data analysis. The study found that street vendors meet most of the consumers’ expectations in hand washing before operation, using clean utensils, separating cooked and raw meat, but they can still improve in mask wearing, gloves wearing, hair cover wearing, food storage in sealed containers and displaying licenses. The study shows that government regulations of demarcated vending zones, simplified formalization process, and public supervision can stimulate good food handling behaviors of street vendors. This study recommends the implementation of demarcated vending zones, simplified formalization process of street vendors, and encouragement of public supervision in other cities.

Paper Citation

in Harvard Style

Cao M. (2021). Social Research on Food Safety and Vendor Management based on Big Data Analysis: Take Tianjin Street Food Management as an Example. In Proceedings of the 1st International Conference on Public Management and Big Data Analysis - Volume 1: PMBDA, ISBN 978-989-758-589-0, pages 220-225. DOI: 10.5220/0011163400003437

in Bibtex Style

@conference{pmbda21,
author={Muchen Cao},
title={Social Research on Food Safety and Vendor Management based on Big Data Analysis: Take Tianjin Street Food Management as an Example},
booktitle={Proceedings of the 1st International Conference on Public Management and Big Data Analysis - Volume 1: PMBDA,},
year={2021},
pages={220-225},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011163400003437},
isbn={978-989-758-589-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Public Management and Big Data Analysis - Volume 1: PMBDA,
TI - Social Research on Food Safety and Vendor Management based on Big Data Analysis: Take Tianjin Street Food Management as an Example
SN - 978-989-758-589-0
AU - Cao M.
PY - 2021
SP - 220
EP - 225
DO - 10.5220/0011163400003437