An integrated model based on the system cloud grey model and Markov chain was established to forecast the change of land type along urban rail transit. First, the system cloud grey model was used to get the dynamic baseline for the area of every land type along the rail transit from 1997 to 2015. Second, a Markov chain was applied to achieve the state-transfer probability matrix, by which the forecasting result based on the system cloud grey model was modified. This integrated model takes randomness of land type changes into account; moreover, the model is available when statistics are scarce. Finally, the Rail Transit Line 1 in Nanjing was taken as an example to illustrate the application of the model. The forecasting result shows that the model is practicable.
Integrated Forecasting Model for Land Type Change along Urban Rail Transit
Sixth International Conference of Traffic and Transportation Studies Congress (ICTTS) ; 2008 ; Nanning, China
2008-07-17
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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