Somanath Sanjay, Thuvander Liane, Hollberg Alexander
Department of Architecture and Civil Engineering, Chalmers University of Technology, Sven Hultins gata 6, Göteborg 412 58, Sweden.
Data Brief. 2024 Sep 14;57:110945. doi: 10.1016/j.dib.2024.110945. eCollection 2024 Dec.
A synthetic population is a distribution of synthetic agents that replicates the demographic distribution of a real-world population based on census records. This paper presents an end-to-end model to generate a synthetic population of residents in Gothenburg, Sweden, along with activity schedules and mobility patterns for present and past populations. Using a stochastic modelling approach, we describe the model and present its corresponding dataset. The model is designed for applications in neighbourhood planning and includes detailed replicas of people in different neighbourhoods of Gothenburg organised as persons, households, houses, buildings, and daily activity chains. While the persons, households, and houses are synthetic replicas, they are connected to existing buildings. The model considers the allocation of primary and secondary locations based on a gravity model, realistic routing for active, public, and private motorised modes of transportation and allows users to introduce new buildings and amenities if needed. The model aims to impute national-level mobility patterns from a household travel survey and apply them locally to capture the nuances of a neighbourhood's built environment and demographic composition.
合成人口是基于人口普查记录的合成主体分布，它复制了现实世界人口的人口统计分布。本文提出了一个端到端模型，用于生成瑞典哥德堡居民的合成人口，以及当前和过去人口的活动时间表和出行模式。我们使用随机建模方法描述该模型并展示其相应数据集。该模型专为邻里规划应用而设计，包括哥德堡不同邻里中按个人、家庭、房屋、建筑物和日常活动链组织的人群详细副本。虽然个人、家庭和房屋是合成副本，但它们与现有建筑物相连。该模型基于引力模型考虑主要和次要地点的分配，对主动、公共和私人机动交通方式进行现实的路线规划，并允许用户在需要时引入新的建筑物和便利设施。该模型旨在从家庭出行调查中推断国家级出行模式，并将其应用于本地，以捕捉邻里建成环境和人口构成的细微差别。
