Loading...
An activity-based integrated land-use transport model for urban spatial distribution simulation
Niu, Fangqu Li, Jun
Niu, Fangqu
Li, Jun
Authors
Editors
Other contributors
Affiliation
Epub Date
Issue Date
2017-04-28
Submitted date
Subjects
Alternative
Abstract
This research develops an activity-based integrated land use/transport interaction model based on the concepts – activities (mainly, households and employment activities), activity location and relocation for Chinese regions. It consists of a residential and employment location sub-model, a transport sub-model and an implicit real estate rent adjustment sub-model. The model is developed to model the urban activity distribution evolution, predict urban spatial development trends and examine various planning decision implications. It spatially distributes household and employment activity change of a study area by zone based on the current activity distribution, land use policies and the accessibilities of the zones. The model is subsequently calibrated to predict the distribution of households and employment activities in Beijing metropolitan area in 2025. Model results show that the resident and employment densities are still high in central Beijing in 2025, and most zones’ resident densities are higher than their employment densities. However, there is also significant population density increase along the 6th ring road, indicating the relocation trend of the residents and businesses to the outskirts. This is consistent with the government objectives to decentralize activities within the central urban area. The paper also suggests that the model should be used mainly in examining the possible differences arising from the adoption of different policies though predicting future of a city distribution proves feasible.
Citation
Niu, F., Li, J. (2017) 'An activity-based integrated land-use transport model for urban spatial distribution simulation' Environment and Planning B: Urban Analytics and City Science, 46 (1) p. 165-178
doi: 10.1177/2399808317705658
Publisher
Research Unit
PubMed ID
PubMed Central ID
Embedded videos
Additional Links
Type
Journal article
Language
en
Description
Series/Report no.
ISSN
2399-8083