An activity-based synthetic population of Gothenburg, Sweden: Dataset of residents in neighbourhoods
Artikel i vetenskaplig tidskrift, 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

Författare

Sanjay Somanath

Chalmers, Arkitektur och samhällsbyggnadsteknik, Byggnadsteknologi

Liane Thuvander

Chalmers, Arkitektur och samhällsbyggnadsteknik, Arkitekturens teori och metod

Alexander Hollberg

Chalmers, Arkitektur och samhällsbyggnadsteknik, Byggnadsteknologi

Data in Brief

23523409 (eISSN)

Vol. 57 110945

Drivkrafter

Hållbar utveckling

Ämneskategorier

Data- och informationsvetenskap

Samhällsbyggnadsteknik

DOI

10.1016/j.dib.2024.110945

Mer information

Senast uppdaterat

2024-10-04