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  <subfield code="a">2024Rezvany_Delft</subfield> 
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<datafield tag="909" ind1="C" ind2="0">
<subfield code="p">TRANSP-OR</subfield>
</datafield>
<datafield tag="980" ind1="" ind2="">
<subfield code="a">TALK</subfield>
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 <datafield tag="700" ind1="" ind2="">
  <subfield code="a">Rezvany, Negar</subfield> 
  </datafield>
 <datafield tag="700" ind1="" ind2="">
  <subfield code="a">Hillel, Tim</subfield> 
  </datafield>
 <datafield tag="700" ind1="" ind2="">
  <subfield code="a">Bierlaire, Michel</subfield> 
  </datafield>
<datafield tag="245" ind1="" ind2="">
<subfield code="a">
Integrating housing and transport interactions: A strategic dynamic approach</subfield>
</datafield>
<datafield tag="260" ind1="" ind2="">
<subfield code="c">2024</subfield>
</datafield>
<datafield tag="711" ind1="2" ind2="">
<subfield code="a">
Sustainable Urban Multimodal Mobility (SUM) Lab Seminar</subfield>
<subfield code="c">
TU Delft, Netherlands</subfield>
<subfield code="d">December 10, 2024</subfield>
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<datafield tag="520" ind1="" ind2="">
<subfield code="a">
Urban areas face challenges stemming from the interplay of transport and land-use developments, such as congestion, housing shortage, increasing rental prices, migration, and relocation of residents. Effective urban planning requires robust “What if?” forecasting tools to analyse the causal effects and simulate potential development pathways. Structured decision-support tools are essential for managing the intricate relationship between transport and land-use. Addressing these challenges necessitates a comprehensive understanding of the system and the joint development of its inter-related sub-systems with their feedback loops. To this aim, an alternative strategic approach to simultaneous land-use and transport modelling, leveraging system dynamics simulation approach is a smart move. This framework captures the interactions and long-term feedback mechanisms between the two systems at an aggregate level.  It is particularly advantageous for efficiently evaluating various policies and their combinations over multi-year horizons.

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