A System Dynamics Model for Assessing Land-Use Transport Interaction Scenarios in Chennai, India

Abstract

Purpose—rapid urbanization is dangerous to the development of society as it hinders development and makes urban living more difficult. This research aims to develop a system dynamics model for land use assessment at transport interactions in Chennai. Design/methodology/approach—the parameters of urbanization can be simulated using a system dynamics model. In this paper, the unchecked urbanization of Southern Chennai is considered as a case study; various parameters, such as population, land use, trip rate, Volume/Capacity (V/C), and Demand/Supply (D/S), are simulated for three different years: 2011, 2021, and 2031. Three scenarios are simulated: the Do-Min scenario (existing trend), partial scenario (some models are implemented), and the desirable scenario (all the proposed models are implemented). Findings—the simulation is performed using the Stella simulation tool. The results show that the proposed desirable model is highly effective in controlling both the population and other parameters. Originality/value—this study has been performed in the Indian city of Chennai, where such studies are rare. This study could help to analyze the traffic situation and make improvements to ease the urbanization issues. This research could also help to analyze the future traffic situation and make improvements to ease urbanization-related issues. Moreover, when the desirable scenario is followed in real-time, it could solve future problems that may arise from traffic congestion in Chennai.

Modeling Impact of Transportation Infrastructure-Based Accessibility on the Development of Mixed Land Use Using Deep Neural Networks: Evidence from Jiang’an District, City of Wuhan, China

“…This study employs a system dynamic approach to examine the relationship between various indicators, including transport supply, and MLU [51]. In particular, A CLD is used to analyze various factors that have a causal relationship with the MLU, such as housing price, population, employment, and transportation supply as shown in Figure 14 [52]. Based on the concept of representative variables and the knowledge regarding their relationship, Figure 14 is developed, which shows that an increase in the logsum of the multimodal transportation system to the city center, retail, and services will result in a rise in the floor space prices [53].…”