Hong Zhang The Hong Kong Polytechnic University oceanzhhd@gmail.com and Zhilin Li The Hong Kong...

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Hong Zhang

The Hong Kong Polytechnic Universityoceanzhhd@gmail.com

and

Zhilin LiThe Hong Kong Polytechnic University

lszlli@inet.polyu.edu.hk

Structural Holes for Forming

Hierarchical Road Network

The 24th International Cartographic ConferenceSantiago, Chile ∙ November 15-21, 2009

Outline

Why study road network?

Review of road network research Representation and modeling

Properties

Road structure VS human behaviors

Structural holes: concepts and methodology

Application of structural holes to road networks From road network to ego network

Theoretical analysis

Experimental testing

Conclusions

Road as blood vessel in city

(a) Hong Kong

City vs Human body

Network & Flows vs Blood vessel & blood

(b) Jeddah

(http://www.spacesyntax.com/)

(c) “The Image of City” (Kevin Lynch, 1960)

Road impact our lives

(a) road and regional development (b) road and urban design

(c) retail location

Outline

Why study road network?

Review of road network research Representation and modeling

Properties

Road structure VS human behaviors

Structural holes: concepts and methodology

Application of structural holes to road networks From road network to ego network

Theoretical analysis

Experimental testing

Conclusions

GraphObject Primal graph Dual graph

Characteristicpoints

Axial line

Stroke(70 degree)

Named street

Fig. 3: a sample street network of London

Representation and Modelling(1)

GraphObject Primal graph Dual graph

ICN

Segment

Alternativechain

Fig. 3: a sample street network of London

Representation and Modelling(2)

Fractal

Small-world

Scale-free

Self-organized

Hierarchical

Properties

Fig. 5: Hierarchies emerged from traffic flow distribution (Adapted from Jiang 2009)

Spatial cognition

Navigation

Path selection

Traffic flow

Location

Real estate develop

Pollution

Crime

……

Road structure and human behaviours

Limitations of current study

(c) Observation window (Hillier and Iida 2005)

(a) Navigation (Rosvall et al. 2005)

(b) flow dimension and flow capacity (Jiang 2008) (d) Facilitating sensors

Objective

Develop a new technique for

forming

hierarchical road network

Outline

Why study road network?

Review of road network research Representation and modeling

Properties

Road structure VS human behaviors

Structural holes: concepts and methodology

Application of structural holes to road networks From road network to ego network

Theoretical analysis

Experimental testing

Conclusions

Social network Structural hole is a concept rooted in social science.

Social sciences focus on structure and conceptualize social structure as a network of social ties (Nooy, et al., 2005).

examine the structure of the entire social group, or turn to the position of each individual in the local network.

(a) Social network

(b) Complete network (c) Egocentric or personal network

Structural hole and ego network

An ego network is defined as a road network consisting of a single actor (ego) together with the actors they are directly connected to (or alters) and all the links among them

Structural hole is an approach developed by Burt (1995) to define the positional status of each node in its ego network

The structural hole theory believes that in a social network, the individual’s advantage or power is based on his or her control over the spread of information, goods or services between his or her immediate neighbors, and the absence of a tie between either ego or alter and other alters would induce a structural hole

Three simple ego networks

(a) complete ego-network (b) ego-control network (c) ego-passive network

Proportional link strength

(a) complete ego-network (b) ego-control network (c) ego-passive network

alter1

alter2

ego

0.5

0.5 1

1

0.5

0.5

0.5

0.5

0.5

0.5

alter1

alter2 ego

0.5

0.5

1

1

alter1

alter2 ego

Centrality Rank

2

2'ij ij ij ij iq qj ne ne,

q

C p p p p p j i ,q i q i,q j

iij k

p1

(j∈ine),

qjiqij ppp '(j, q∈ine and q ≠j)

Proportional Strength

Indirect Link Strength

Constraint

Aggregate Constraint

Centrality Rank

i is nes

AC C s i ,s i

1 1i ne

i iss

CR s i ,s iAC C

0.

5

0.5

0.5

0.5

0.5

0.5

alter1

alter2

ego

Outline

Why study road network?

Review of road network research Representation and modeling

Properties

Road structure VS human behaviors

Structural holes: concepts and methodology

Application of structural holes to road networks From road network to ego network

Theoretical analysis

Experimental testing

Conclusions

From road network to ego network

Build stroke

Produce connectivity graph

Derive ego network

Natural movement

Deflection angle

a b

β

a b

c

a b

Road a Road b

build stroke Connectivity graph

Theoretical illustration

Fig. 11: The sampled Road networks and their connectivity graphs

(a) A regular road network

(c) An irregular road network

(b) Its connectivity graph

(d) Its connectivity graph

S2

S10

S35

S33

S78

S2

S2 S2

S35

S7

Experimental testing: data source

(a) A map of Sweden (b) Sydost road map (c) Its Connectivity graph

Note: Figure (a) and (b) are by courtesy of Bin Jiang

Experimental testing: results

(a) Road hierarchies (b) Traffic flow distribution pattern

Top 1%Top 5%Top 20%The rest

Conclusions

Structural holes can be used for ranking street networks

There is a positive relationship between centrality rank and traffic flow

Weighted link strength and k-step aggregate constraint

Acknowledgements

This research is supported by the Hong Kong Polytechnic University and RGC of HK (PolyU5221/07E)

The data about Sydost highway network is provided by Bin Jiang

The San Francisco sampled road network is obtained from TIGER data of U.S.Census Bureau (http://www.census.gov/geo/www/tiger/)

Thank you!

Questions?

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