Spatiotemporal Simulation of Tourist Town Growth Based on the Cellular Automata Model: The Case of Sanpo Town in Hebei Province

Table 1

Driving factors and weights of spatio-temporal growth of tourist town.

Influencing factor	Variable type	Weight coefficient	Variable grading
	Distance to town center	4	Grade 1: 0~500 m; Grade 2: 501~1000 m; Grade 3: 1001~3000 m; Grade 4: >3000 m
Basic geographic factors	Distance to arterial roads	4	Grade 1: 0~100 m; Grade 2: 101~500 m; Grade 3: 501~1000 m; Grade 4: >1000 m
	Distance to railway	2	Grade 1: 0~100 m; Grade 2: 101~500 m; Grade 3: 501~1000 m; Grade 4: >1000 m
Geographic factors for tourism	Distance to footpath	3	Grade 1: 0~100 m; Grade 2: 101~300 m; Grade 3: 301~600 m; Grade 4: >600 m
	Distance to scenic spots	3	Grade 1: 0~500 m; Grade 2: 501~1000 m; Grade 3: 1001~2000 m; Grade 4: >2000 m
	Slope	4	Grade 1: <5 degrees; Grade 2: 6 degrees~15 degrees; Grade 3: 16 degrees~25 degrees; Grade 4: >25 degrees
Topographical factors	Aspect	1	Grade 1: −45 degrees~45 degrees; Grade 2: 45 degrees~135 degrees; Grade 3: 135 degrees~225 degrees; Grade 4: 225 degrees~315 degrees
	Ground fluctuation degree	2	Grade 1: <10; Grade 2: 10~20; Grade 3: 20~40; Grade 4: >40