An activity-based synthetic population of Gothenburg, Sweden: Dataset of residents in neighbourhoods
Journal article, 2024

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.

Equity

Accessibility

Neighbourhood-planning

Demand-modelling

Energy

Activity

Mobility

Author

Sanjay Somanath

Chalmers, Architecture and Civil Engineering, Building Technology

Liane Thuvander

Chalmers, Architecture and Civil Engineering, Architectural theory and methods

Alexander Hollberg

Chalmers, Architecture and Civil Engineering, Building Technology

Data in Brief

23523409 (eISSN)

Vol. 57 110945

Driving Forces

Sustainable development

Subject Categories

Computer and Information Science

Civil Engineering

DOI

10.1016/j.dib.2024.110945

More information

Latest update

10/4/2024