A summary of: Tackling School Segregation with Transportation Network Interventions An Agent-Based Modelling Approach
| Authors | |
|---|---|
| Publication date | 2025 |
| Host editors |
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| Book title | AAMAS '25 |
| Book subtitle | Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems : May 19-23, 2025, Detroit, Michigan, USA |
| ISBN (electronic) |
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| Event | 24th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2025 |
| Pages (from-to) | 3074-3076 |
| Number of pages | 3 |
| Publisher | International Foundation for Autonomous Agents and Multiagent Systems |
| Organisations |
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| Abstract |
We address school segregation in the context of free school choice systems, where families consider both proximity and demographic composition in their decisions, potentially reinforcing residential segregation. We explore whether transportation network interventions can enhance school accessibility and reduce segregation. Using a novel agent-based model, we simulate populations in synthetic and real-world networks, including Amsterdam. Our findings reveal that improving the centrality of key neighborhood nodes within transportation networks can reduce school segregation by up to 35% under certain conditions. This framework highlights the interplay between citizens' preferences, school capacity, and public transportation in shaping urban segregation. |
| Document type | Conference contribution |
| Language | English |
| Published at | https://www.ifaamas.org/Proceedings/aamas2025/pdfs/p3074.pdf https://dl.acm.org/doi/10.5555/3709347.3744097 |
| Other links | https://www.scopus.com/pages/publications/105009813679 |
| Downloads |
p3074
(Final published version)
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