Adaptability evaluation of transportation system and urban development
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Journal ofHarbin Institute of Technology(New Series),Vo1.16,No.6,2009
Adaptability evaluation of transportation system and urban development
PEl Yu—long.GAO Han
裴玉龙, 高晗
(School of Transportation Science and Engineering,Harbin Institute of Technology,Harbin 150090,China,yulongp@263.net)
Abstract:Sixty indexes,ranging from social development and economy increasing to ecological protection and transportation system construction,are chosen to construct an index system of adaptability evaluation on trans- portation system and urban development.A synthesis model with nonlinear characteristic is proposed.and the corresponding procedure is presented based on an improved AHP mode1.which utilizes the SVD method to im— prove the required precision of matrix with acceptable consistency weight and detect and amend the significant elements via distance and proximity so as to improve the whole consistency.Taking Shandong Province for the case study,experimental results indicate that the adaptability degree of the system is in an increasing state, which provides robust and effective support for decision—makers working on a range of problems and in various circumstances. Key words:adaptability degree;adaptability evaluation;AHP model;SVD method;significant element CLC number:U491 Document code:A Artiele ID:1005—9113(2009)06 884-05
Transportation system is an important carrier of ur— ban development.The relationship between transporta
tion and urban development is mutually reinforeins and
checking each other.Simply put,urban development
will inerease the traffic demand.In return.traffic and
transportation construction would change the city g posi—
tion.resulting in the effective exploitation of urban land
resources.AHP.as a useful tool in multifaetor analy—
sis,complex condition evaluation and decision making,
has been widely used in different fields.As a systemat—
ic investigation method combining qualitive analysis,
there are several faetors that make AHP distingui8hable
from its alternatives such as
ble sort,binary search tree
gie,2001). spanning tree matrix,bub-
and priority groups(Mag—
However,our efforts in preparing these square matrices made us realize that iudgment CR≤0.1 is not
always consistent with each other and the strengths and
weaknesses of the AHP have been the subieet of sub. stantial debate on the theoretical foundations of the
AHP and about some of its properties among special—
ists.On the contrary.inconsistencies with higher per—
centages would lead to severe problems in the hieratical
process.This paper uses SVD method to improve its
consistency so as to investigate the adaptability degree
of transportation system and urban development.
1 Evaluation Model
1.1 Establishment of Index System
Taking social development,economic growth,re— sources and environment and COOrdinated transportation
system into consideration,qualitative and multivariate
statistical analysis methods are employed to 60 inde.
pendent,measurable,comparable and representative
index variables.in which the choice of transportation
system indexes are based on the”City Traffic Planning
and Design Standards”in the 2002 version of”Urban Traffic Management Evaluation System”.The proposed
variables and indexes are shown in Tabs.1—4.
Tab.1 Index of social development subsystem
Inspection field/C Evaluation index/D Symbol
Societv/C Gini toemcient
Urbanization/eveI/%
Criminal rate per ten thousand persons/%
Natural population growth rate/%o
Population/C2 Population density/(P・km一 )
Public education to GDP/%
Engels coefficient of residents consumption/%
Living/C3 Housing area of urban residents per capita/m
Subscriptions per capita/piece
Received 2007—07—3O. Sponsored by the Key Projects of the National Science&Technology Pillar Program in the Eleventh Five—year Plan Period(Grant No.2006BAJI8B01)
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Jo ̄rnal ofHarbin Institute of Technology(New Series),Vo1.16,No.6,2009
Tab.2 Index of economical condition subsystem
Tab.3 Evaluation index of natural resource and environ- ment subsystem
Tab.4 Index of transportation system
Inspection field/C Evaluation index/D Svmbol
Emciencv /C8 Average travel fad/min
Bus ̄cupaney per ten thousand capita/Vehicle D26
Bus trip ratio/%D27
Average speed of arterial highway/(km-h ) d“ 一c rans叫ation investment coe ent
Traffic and transportation cost coefficient
Traffic and transportation safety coefficient/% Function . /Cl。 R。 d p 。p 印ita/
E and F services ratio of intersection
Public transit density/(km・km )
Supply—demand ratio of central urban parking space
Traffic signs installed ratio/(Block・km ) D28
D29
D30
D3l
D32
D”
D34
D35