Abstract
Previous research studies of traffic networks are mainly based on planar networks and less considered the influence of multilayer networks, which illustrate and represent different appropriate urban traffic modes. Development of rail and road networks is inseparable from the development of a prosperous urban area; thus, research on multilayer networks has scientific potential and fulfils a real need. In this paper, a framework of complex network based integrated multilayer urban growth and optimisation model (CNIMUGOM) is proposed, to analyse the complex relationships between the traffic network structure, the population growth, and the urban land-use. The innovation of this paper is the combination of the traffic complex multilayer networks and the “Four Step Model” (which stands for trip generation, trip distribution, model split, and traffic assignment steps). With the multiobjective, multilayer network coevolution and optimisation model, a more efficient traffic network layout was generated based on different land-use, population density, and travel speed scenarios. Then, this paper has proved that the proposed CNIMUGOM can save the traffic network construction investment, reduce the travel cost, make the urban traffic network more efficient, and decrease the total traffic flow amount. This research has connected the recent complex multilayer network related study and traditional urban economic model based study. The findings of the study afford to improve the current land-use and traffic integrated models and can provide traffic network planning suggestions for urban agglomeration development.
Highlights
Many developing countries still face rapid urbanisation process, with numerous scholars focusing on the prompt urban traffic network growth and coevolution process [1,2,3]
With the analysis of some new indicators, their complex relationships become measurable. is fills the research gap of recent urban traffic network structure based studies; with the study of network coevolution process, the complex dynamics growth process can be partly studied. e influence of multilayer networks can be measured, which connect the growth of upperlayer and lower-layer network and the accessibility change of surrounding areas related to urban land-use [24]
3.1. e Framework of CNIMUGOM. e content of the model is suggested, as shown in Figure 4, and different blocks stand for different models, with the relationships between those models illustrated as arrows. e most famous models are the travel demand model, street investment model, traffic network growth model, population growth model, urban land-use growth model, and network optimisation model
Summary
Many developing countries still face rapid urbanisation process, with numerous scholars focusing on the prompt urban traffic network growth and coevolution process [1,2,3]. E influence of multilayer networks can be measured, which connect the growth of upperlayer and lower-layer network and the accessibility change of surrounding areas related to urban land-use [24]. Based on these works, in this paper, the framework of complex network based integrated multilayer urban growth and optimisation model (CNIMUGOM) will be proposed first. Considering the traffic network structure, with the population growth rate rp and its affection of urban land-use model (the change of accessibility of employment AEi and population APi ), and the coupling features of multilayer networks, the study identifies issues regarding the “Four Step Model” (FSM). E multilayer network model of urban traffic networks; the upper-layer represents rail network topology, and the Complexity. Define aii 0 to theoretically remove any self-connections to exclude the impact of the network element itself. en, the adjacency matrix of multilayer networks is adjmulti ⎡⎢⎣ adjUNU×NU adjCNU×NL ⎤⎥⎦. adjCNL×NU adjLNL×NL (19)
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
