TY - GEN
T1 - Wealthy hubs and poor chains
T2 - Workshop on Agent-Based Models and Complexity Science held as a part of the 9th International Conference on Geographic Information Science, GIScience 2016
AU - Liu, Xi
AU - Hollister, Ransom
AU - Andris, Clio
N1 - Publisher Copyright:
© 2018, Springer International Publishing AG.
PY - 2018
Y1 - 2018
N2 - Flows of people connect cities into complex systems. Urban systems research focuses primarily on creating economic models that explain movement between cities (whether people, telecommunications, goods or money), and more recently, finding strongly and weakly-connected regions. However, geometrically graphing the dependency between cities within a large network may reveal the roles of small and peripheral city agents in the system to show which cities switch regions from year to year, which medium-sized cities serve as collectors for large cities, and how the network is configured when connected by wealthy or deprived agents. We propose a network configuration method called ‘best friend’ networks, where a node attaches to one preferential node, so that edges = nodes = n. Our case study is 20 years of migrants, sourced from the U.S. Internal Revenue Service, traveling between U.S. cities. In our networks, an edge is created to link a city to its most popular migrant destination city for a given year. The resulting configurations reveal closely connected “constellations” of cities comprised of chains, trees, and hub-spoke structures that show how urban regions are configured. We also show routing behavior within these networks to reveal that high-income migrants tend to flock to hub cities, while low-income migrants form local city chains via nearby movements.
AB - Flows of people connect cities into complex systems. Urban systems research focuses primarily on creating economic models that explain movement between cities (whether people, telecommunications, goods or money), and more recently, finding strongly and weakly-connected regions. However, geometrically graphing the dependency between cities within a large network may reveal the roles of small and peripheral city agents in the system to show which cities switch regions from year to year, which medium-sized cities serve as collectors for large cities, and how the network is configured when connected by wealthy or deprived agents. We propose a network configuration method called ‘best friend’ networks, where a node attaches to one preferential node, so that edges = nodes = n. Our case study is 20 years of migrants, sourced from the U.S. Internal Revenue Service, traveling between U.S. cities. In our networks, an edge is created to link a city to its most popular migrant destination city for a given year. The resulting configurations reveal closely connected “constellations” of cities comprised of chains, trees, and hub-spoke structures that show how urban regions are configured. We also show routing behavior within these networks to reveal that high-income migrants tend to flock to hub cities, while low-income migrants form local city chains via nearby movements.
UR - http://www.scopus.com/inward/record.url?scp=85032680028&partnerID=8YFLogxK
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U2 - 10.1007/978-3-319-65993-0_6
DO - 10.1007/978-3-319-65993-0_6
M3 - Conference contribution
AN - SCOPUS:85032680028
SN - 9783319659923
SN - 9789811044236
T3 - Advances in Geographic Information Science
SP - 73
EP - 86
BT - Advances in Geographic Information Science
A2 - Perez, Liliana
A2 - Sengupta, Raja
A2 - Kim, Eun-Kyeong
PB - Springer Heidelberg
Y2 - 27 September 2016 through 30 September 2016
ER -