Heavy-haul Train’s Operating Ratio, Speed and Intensity Relationship for Daqin Railway Based on Cellular Automata Model

2011 ◽  
Vol 11 (1) ◽  
pp. 126-133 ◽  
Author(s):  
Feng Fen-Ling ◽  
Lan Dan
2007 ◽  
Vol 34 (4) ◽  
pp. 708-724 ◽  
Author(s):  
Daniel Stevens ◽  
Suzana Dragićević

This study proposes an alternative cellular automata (CA) model, which relaxes the traditional CA regular square grid and synchronous growth, and is designed for representations of land-use change in rural-urban fringe settings. The model uses high-resolution spatial data in the form of irregularly sized and shaped land parcels, and incorporates synchronous and asynchronous development in order to model more realistically land-use change at the land parcel scale. The model allows urban planners and other stakeholders to evaluate how different subdivision designs will influence development under varying population growth rates and buyer preferences. A model prototype has been developed in a common desktop GIS and applied to a rapidly developing area of a midsized Canadian city.


2020 ◽  
Vol 1680 ◽  
pp. 012035
Author(s):  
A K Matolygin ◽  
N A Shalyapina ◽  
M L Gromov ◽  
S N Torgaev

2003 ◽  
Vol 123 (1-2) ◽  
pp. 211-230 ◽  
Author(s):  
G.M. Crisci ◽  
S. Di Gregorio ◽  
R. Rongo ◽  
M. Scarpelli ◽  
W. Spataro ◽  
...  

2021 ◽  
Vol 10 (3) ◽  
pp. 149
Author(s):  
Nuno Pinto ◽  
António P. Antunes ◽  
Josep Roca

Cellular automata (CA) models have been used in urban studies for dealing with land use change. Transport and accessibility are arguably the main drivers of urban change and have a direct influence on land use. Land use and transport interaction models deal with the complexity of this relationship using many different approaches. CA models incorporate these drivers, but usually consider transport (and accessibility) variables as exogenous. Our paper presents a CA model where transport variables are endogenous to the model and are calibrated along with the land use variables to capture the interdependent complexity of these phenomena. The model uses irregular cells and a variable neighborhood to simulate land use change, taking into account the effect of the road network. Calibration is performed through a particle swarm algorithm. We present an application of the model to a comparison of scenarios for the construction of a ring road in the city of Coimbra, Portugal. The results show the ability of the CA model to capture the influence of change of the transport network (and thus in accessibility) in the land use dynamics.


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