基于交通行为调查的城市居民出行网络数据集

该数据集主要面向城市人群接触网络时空特征的研究，并为城市应急医疗资源需求预测提供支持。数据集通过对深圳市居民的出行时间、地点、坐标、状态等信息进行采集与整理生成，具体内容包括出发/到达时间、出发/到达地类型、出发/到达经纬度以及加权出行路径等信息。数据采集于2019年11月至12月，原始数据来自深圳市交通运输局的交通行为与意愿问卷调查，覆盖了19,607名年龄从6岁到102岁的深圳市居民。通过对原始“出行链”数据进行清洗、标准化和脱敏处理，最终形成了地点到地点的居民出行网络。数据量约为10.5MB。

This dataset is primarily intended for research on the spatiotemporal characteristics of urban residents' internet usage, and supports urban emergency medical resource demand prediction. It is developed by collecting and organizing information such as travel time, location, coordinates and travel status of Shenzhen residents. The specific contents include departure/arrival time, departure/arrival location type, departure/arrival longitude and latitude, as well as weighted travel routes and other relevant information. The data was collected between November and December 2019, with the original dataset sourced from the travel behavior and willingness questionnaire survey conducted by the Shenzhen Transportation Bureau, covering 19,607 Shenzhen residents aged from 6 to 102 years old. After cleaning, standardization and anonymization processing were applied to the original "travel chain" data, and the resident origin-destination travel network was finally constructed. The total data volume is approximately 10.5 MB.

搜集汇总

背景与挑战

背景概述

该数据集基于2019年11月至12月深圳市19,607名居民的交通行为调查数据，包含出发/到达时间、地点类型、经纬度及加权出行路径等信息，用于研究城市人群接触网络时空特征和应急医疗资源需求预测，数据量约为10.5MB。