Tourism, transport, and land use: a dynamic impact assessment for Kaohsiung’s Asia New Bay Area

Abstract

This paper proposes a hybrid methodology for analysing the causal relations between public transportation development, tourism and land use by combining System Dynamics (SD) with Geographical Information Systems (GIS) and agent-based modelling (ABM). It is applied to illustrate the quantitative and spatial effect of the two phases Light Rail Transit (LRT) development in Asia New Bay Area, Kaohsiung, Taiwan. This paper also furthers the application of the ABM spatial information as interactive variables in the stocks-flow model. The simulation results support that development policies of LRT are significant to the future tourism in Asia New Bay Area, while the under debate second phase of LRT is estimated to raise the number of visitors in long term by alleviating the deteriorating road traffic congestion. This policy-oriented simulation can serve as a reference to the decision-makers towards the future management of LRT.

Metadata

Authors/Creators:	Man, C-Y Shyr, OF Hsu, Y-Y Shepherd, S https://orcid.org/0000-0002-4420-3382 Lin, H-L Tu, C-H
Copyright, Publisher and Additional Information:	© Operational Research Society 2020. This is an author produced version of an article published in Journal of Simulation. Uploaded in accordance with the publisher's self-archiving policy.
Keywords:	agent-based model; cellular automata; land use transition; system dynamics; Transport & tourism
Dates:	Accepted: 1 August 2020 Published (online): 6 September 2020 Published: 1 October 2020
Institution:	The University of Leeds
Academic Units:	The University of Leeds > Faculty of Environment (Leeds) > Institute for Transport Studies (Leeds)
Depositing User:	Symplectic Publications
Date Deposited:	09 Sep 2020 14:53
Last Modified:	18 Jul 2022 09:31
Status:	Published
Publisher:	Taylor and Francis
Identification Number:	https://doi.org/10.1080/17477778.2020.1806748