基于拍照编码的食物浪费行为调查数据集

doi:10.19788/j.issn.2096-6369.100030

摘要/Abstract

摘要：

食物浪费不仅导致大量宝贵资源的无效利用，更带来了沉重的经济负担，对社会和环境造成了深远的负面影响，已成为全球范围内不容忽视的议题。为了应对这一挑战，各国政府及民间组织开展了一系列旨在推动粮食节约的社会实践活动，并迅速获得了社会各界的积极响应。以开展光盘行动为契机，本数据集对光盘行动前后的个体就餐及食物浪费数据进行记录和保存，为研究食物浪费行为和干预措施对食物浪费行为的影响提供数据支撑。采用拍照编码法，通过为期四周的跟踪调查，本数据集收集了722位高校学生的个体特征数据以及16 976份食堂就餐数据。其中，个体特征数据涵盖了学生的个体及家庭特征、平时就餐习惯、健康饮食行为、食物浪费行为及对食物浪费的主观感知；就餐数据涵盖了每次就餐的餐次、食物构成、满意度、花费、共同就餐人数、是否吃饱以及食物浪费量等信息。所得数据均经过预调研及人工质量检验，数据处理均按照统一数据格式、剔除错误数据等规范化流程处理，以保证其科学性和准确性。本数据集为广大学者基于动态视角分析干预措施对食物浪费行为的影响研究提供数据支持，并为利用拍照编码法开展食物浪费行为研究提供了基础数据和实验范式。

数据摘要：

项目	描述
数据库（集）名称	基于拍照编码的食物浪费行为调查数据集
所属学科	农业经济管理、食物经济与管理
数据时间范围	2021年5月17日—2021年6月6日、2021年6月15日—2021年6月21日
数据地理空间覆盖	江苏省
数据类型与技术格式	*.dta
数据库（集）组成	本数据集由两个dta文件组成，其中personal.dta数据涵盖个体及家庭特征、平时饮食习惯、健康饮食行为、食物浪费行为及主观感知；clock_in.dta数据涵盖每日午餐和晚餐的就餐场景、食物构成、就餐满意度、花费以及食物浪费等
数据量	913.53 KB
主要数据指标	个体及家庭特征、平时饮食习惯、健康饮食行为、食物浪费行为及对食物浪费的主观感知、每次就餐的场景、食物构成、花费、满意度以及食物浪费量
数据可用性	CSTR: 31253.11.sciencedb.17978 DOI: 10.57760/sciencedb.17978
经费支持	教育部人文社会科学研究规划基金项目（23YJA790031）；江苏省高校哲学社会科学研究基金项目（2018SJA1144）；扬州市“绿扬金凤”优秀博士人才项目（2019）。

关键词: 食物浪费行为, 拍照编码法, 光盘行动, 跟踪调查, 面板数据

Abstract:

Food waste has negative impacts on society and the environment, making it a global issue that cannot be ignored. Practical social activities aimed at promoting food conservation have been launched by governments and civil society organizations, and have gained a positive response from all sectors of society. This dataset documents individual dining and food waste data before and after the Clear Your Plate Campaign. The purpose is to provide data support for the study of food waste behaviors and the impact of interventions on food waste behaviors. The photo-coding method was used to collect individual characteristic data of 722 college students and 16 976 cafeteria dining punch cards through a four-week tracking survey. The data on individual characteristics included information on students' and their families' typical eating habits, healthy eating behaviors, food waste behaviors, and subjective perceptions. The dining card data covered daily lunch and dinner dining scenes, food composition, dining satisfaction, spending, and food waste. The data underwent pre-survey and manual quality checks. Standardised procedures were employed to ensure scientific validity and accuracy, including the use of unified data formats and the elimination of erroneous data. This dataset provides scholars with data to analyse the impact of interventions on food waste behaviour from a dynamic perspective, such as Clear Your Plate Campaign. It also offers basic data and experimental paradigms for studying food waste behaviour using the photo-coding method.

Data summary:

Item	Description
Dataset name	Food waste behavior survey data set based on photo coding method
Specific subject area	Agricultural Economic Management, Food Economics and Management
Time range	May 17, 2021 - June 6, 2021, June 15, 2021 - June 21, 2021
Data type and technical formats	*.dta
Dataset structure	This dataset consists 2 dta files, wherein personal.dta file includes 722 records, which covers individual and family characteristics, normal eating habits, healthy eating behaviors, food waste behaviors and subjective perceptions. The clock_in.dta data includes 16976 records, which covers daily lunch and dinner scenes, food composition, meal satisfaction, spending and food waste
Volume of data	913.53 kB
Key index in dataset	Individual and family characteristics, normal eating habits, healthy eating behaviors, food waste behaviors and subjective perception of food waste, scene of each meal, food composition, cost, satisfaction, and amount of food waste
Data accessibility	CSTR: 31253.11.sciencedb.17978 DOI: 10.57760/sciencedb.17978
Financial support	The Humanities and Social Sciences Planning Fund of the Ministry of Education (No. 23YJA790031); University Philosophy and Social Science Research Foundation of Jiangsu Province(No. 2018SJA1144); Yangzhou "Lvyang Jinfeng" Outstanding Doctoral Talents Program (2019).

Key words: food waste behavior, photo coding method, clear your plate campaign, follow-up investigation, panel data

任建超, 王庆叶, 黄春燕. 基于拍照编码的食物浪费行为调查数据集[J]. 农业大数据学报, 2025, 7(1): 90-95.

REN JianChao, WANG QingYe, HUANG ChunYan. Food Waste Behavior Survey Data Set Based on Photo Coding Method[J]. Journal of Agricultural Big Data, 2025, 7(1): 90-95.

图/表 2

参考文献 20

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