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The 24th International Cartographic Conference Santiago, Chile ∙ November 15-21, 2009. Structural Hole Analysis for Forming Hierarchical Road Network. Hong Zhang The Hong Kong Polytechnic University oceanzhhd@gmail.com and Zhilin Li The Hong Kong Polytechnic University
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The 24th International Cartographic Conference Santiago, Chile ∙ November 15-21, 2009 Structural Hole Analysis for FormingHierarchical Road Network Hong Zhang The Hong Kong Polytechnic University oceanzhhd@gmail.com and Zhilin Li The Hong Kong Polytechnic University lszlli@inet.polyu.edu.hk
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 (b): Jeddah (http://www.spacesyntax.com/) (c): “The Image of City” (Kevin Lynch, ****) City vs Human body Network & Flows vs Blood vessel & blood
(c): Retail location Road impact our lives (a): Road and regional development (b): road and urban design
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
Representation and Modelling(1) Fig. 3: a sample street network of London
Representation and Modelling Fig. 3: a sample street network of London
Properties • Fractal • Small-world • Scale-free • Self-organized • Hierarchical Fig. 5: Hierarchies emerged from traffic flow distribution (Adapted from Jiang 2009)
Road structure and human behaviours • Spatial cognition • Navigation • Path selection • Traffic flow • Location • Real estate develop • Pollution • Crime • ……
Limitations of current study (a) Observation window (Hillier and Iida 2005) (c) Navigation (Rosvall et al. 2005) (d) flow dimension and flow capacity (Jiang 2008) (b) Facilitating sensors
Objective Develop new techniques 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 (c) Egocentric or personal network (a) Complete 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
alter1 alter1 alter1 1 ego ego ego alter2 alter2 alter2 Link strength (a) complete ego-network (b) ego-control network (c) ego-passive network
Proportional Strength • Indirect Link Strength • Constraint • Aggregate Constraint • Centrality Rank (j∈ine), alter1 (j, q∈ine and q ≠j) ego alter2 Centrality Rank (a) An ego 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
b a c β α Road a Road b b a b Connectivity graph build stroke a c From road network to ego network • Build stroke • Produce connectivity graph • Derive ego network • Natural movement • Deflection angle
S7 S2 S78 S35 S35 S33 S10 S2 S2 S2 Theoretical illustration (a) A regular road network (b) Its connectivity graph (d) Its connectivity graph (c) An irregular road network Fig. 11: The sampled Road networks and their connectivity graphs
Experimental testing: data source (a) A map of Sweden (c) Its Connectivity graph (b) Sydost road map Note: Figure (a) and (b) are by courtesy of Bin Jiang
Top 1% Top 5% Top 20% The rest Experimental testing: results (a) Road hierarchies (b) Traffic flow distribution pattern
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 constraints
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/)