How diverse can measures of segregation be? Results from Monte Carlo simulations of an agent-based model

Daniel Arribas-Bel, Peter Nijkamp, Jacques Poot

Research output: Contribution to JournalArticleAcademicpeer-review

Original languageEnglish
Pages (from-to)2046-2066
JournalEnvironment and Planning A
Volume48
Issue number10
DOIs
Publication statusPublished - Oct 2016

Keywords

  • Cultural diversity
  • segregation
  • agent-based model
  • Monte Carlo simulation

Cite this

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title = "How diverse can measures of segregation be? Results from Monte Carlo simulations of an agent-based model",
keywords = "Cultural diversity, segregation, agent-based model, Monte Carlo simulation",
author = "Daniel Arribas-Bel and Peter Nijkamp and Jacques Poot",
year = "2016",
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volume = "48",
pages = "2046--2066",
journal = "Environment and Planning A",
issn = "0308-518X",
publisher = "Pion Ltd.",
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How diverse can measures of segregation be? Results from Monte Carlo simulations of an agent-based model. / Arribas-Bel, Daniel; Nijkamp, Peter; Poot, Jacques.

In: Environment and Planning A, Vol. 48, No. 10, 10.2016, p. 2046-2066.

Research output: Contribution to JournalArticleAcademicpeer-review

TY - JOUR

T1 - How diverse can measures of segregation be? Results from Monte Carlo simulations of an agent-based model

AU - Arribas-Bel, Daniel

AU - Nijkamp, Peter

AU - Poot, Jacques

PY - 2016/10

Y1 - 2016/10

KW - Cultural diversity

KW - segregation

KW - agent-based model

KW - Monte Carlo simulation

U2 - 10.1177/0308518X16653402

DO - 10.1177/0308518X16653402

M3 - Article

VL - 48

SP - 2046

EP - 2066

JO - Environment and Planning A

JF - Environment and Planning A

SN - 0308-518X

IS - 10

ER -