Food waste behavior survey data set based on photo coding method

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 organisations, 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.食物浪费对社会与环境均具有负面影响，是不容忽视的全球性议题。各国政府与民间社会组织已发起多项旨在推广食物节约的务实社会活动，并获得社会各界的积极响应。本数据集记录了光盘行动（Clear Your Plate Campaign）实施前后的个体就餐与食物浪费数据，旨在为食物浪费行为研究、干预措施对食物浪费行为的影响研究提供数据支撑。本研究通过为期四周的追踪调查，采用照片编码法（photo-coding method）收集了722名大学生的个体特征数据，以及16976条食堂就餐打卡记录。其中，个体特征数据涵盖学生及其家庭的典型饮食习惯、健康饮食行为、食物浪费行为与主观认知等信息；就餐打卡数据覆盖每日午、晚就餐场景，包含食物构成、就餐满意度、消费金额与食物浪费情况。本数据集已完成预调查与人工质量校验环节，采用标准化流程确保数据的科学有效性与准确性，具体包括统一数据格式、剔除错误数据等操作。本数据集可为学者提供动态视角下干预措施（如光盘行动）对食物浪费行为影响的分析数据，同时也为采用照片编码法开展食物浪费行为研究提供基础数据与实验范式。