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The Effect of School Facility Allocation to City Center Development Base on Dynamic Spatial Structure Model  Shyh-Haw Chyan   Hsiao-Lan Liu, Feng-Tyan Lin  Taiwan, R. O. C. Lan-Yan Technological Institute ,  Department of Architecture  Ph D. National Taipei University
Introduction ,[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object]
The model construction  ,[object Object]
The model construction ,[object Object],twa  : the commuting trip distance of artery, tws  : the commuting trip distance of alley,  uwa  : the unit trip cost of commuting in the artery,  uws  : the unit trip cost of commuting in the alley,  tca  : the consuming trip distance of artery,  tcs  : the consuming trip distance of alley,  uca  : the unit trip cost of consuming in the artery, ucs  : the unit trip cost of consuming in the alley,  Bl  : the student number of family, tla  : the going to school trip distance of artery,  tls  : the going to school trip distance of alley,  ula  : the unit trip cost of going to school in the artery,  uls  : the unit trip cost of going to school in the alley.  Bc : the quantity of consumer for a family,  Pc : the consuming money of every consumer of family,  R : the per unit rent of a house land,  Th : the land area of house unity,  W : the wage of ever worker,  Bw : the worker number,  tw : the commuting distance of job,  uw : the transportation cost of unit distance for commuting,  tc : the trip distance of consuming,  uc : the transport cost of unit distance for consuming trip.
[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object]
[object Object],Figure 4  The Parameters of Function 10
[object Object]
[object Object],16,300 19,630 20,000 Total Rent, R× T h   = 40,000 40,000 40,000 Pc ×  Bc = 4 4 4 Number of consumer in family,   B c 10,000 10,000 10,000 Consumption of every one,   P c 1000 100 0 B l ×( u la ×  t la +   u ls ×  t ls  )= 0.5 0.05 0 School distance of alley road t ls 1,200 1,200 1,200 Trip cost of alley road in schooling,   u ls 0.5 0.05 0 School  distance of artery road,   t la 800 800 800 Trip cost of artery road in schooling,  u la 1 1 1 Number of going to school in family,   B l 1200 120 0 B c ×( u ca × t ca +u cs × t cs )= 0.5 0.05 0 Consuming distance of alley road,  t cs 360 360 360 Trip cost of alley road in consuming,   u cs 0.5 0.05 0 Consuming distance of artery road,   t ca 240 240 240 Trip cost of artery road in consuming,  u ca 4 4 4 Number of consumer in family,   B c 1500 150 0 B w × ( u wa × t wa + u ws × t ws )= 0.5 0.05 0 Commute distance of alley road,   t ws 1,200 1,200 1,200 Trip cost of alley road in commuting,   u ws 0.5 0.05 0 Commute distance of artery road,  t wa 800 800 800 Trip cost of artery road in commuting,  u wa 1.5 1.5 1.5 Employee number,  B w 60,000 60,000 60,000 The family income,  B w ×W = 40,000 40,000 40,000 Wage,  W 1.5 1.5 1.5 Employee number,  B w Case 3 500m artery 500m alley Case 2 50m artery 50m alley Case 1 at center Item
The simulation result and discuss  ,[object Object],[object Object]
[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object]
The sensitive analysis of facility & city core position
Conclusion and Suggestion  ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],End and Thanks for your attention

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The Effect of School Facility Allocation to City Center Development Base on Dynamic Spatial Structure Model

  • 1. The Effect of School Facility Allocation to City Center Development Base on Dynamic Spatial Structure Model Shyh-Haw Chyan Hsiao-Lan Liu, Feng-Tyan Lin Taiwan, R. O. C. Lan-Yan Technological Institute , Department of Architecture Ph D. National Taipei University
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  • 17. The sensitive analysis of facility & city core position
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