AUM2020 Session 10 - The microscopic dimensions

Duration: 1 hour 56 mins

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Description:	1. Experiments in using agent-based microsimulation to model COVID-19 and other urban disruptions Prof. Eric J Miller (University of Toronto) 2. Gravity Model Accessibility: an Airbnb Analysis Prof. Robin Morphet (UCL) Discussant: Prof. Michael Batty and Prof. David Metz (UCL) Session Chair: Dr Tim Hillel (EPFL)


Created:	2020-11-20 11:48
Collection:	Martin Centre AUM2020: Modelling the New Urban World
Publisher:	University of Cambridge
Copyright:	The Martin Centre
Language:	eng (English)
Keywords:	AUM2020; The microscopic dimensions; Modelling the New Urban World; session 10; Architecture;


Abstract:	1. Even before the COVID-19 pandemic struck, we were facing a “new urban world” of disruption driven by new mobility technologies, social justice demands, climate change, and continuing urban growth, particularly in the global south. Urban modelling needs to play a role, both in informing short-run pandemic control policies and guiding longer-term evolution into a better “new normal”. This paper summarizes current research adapting an ABM model of activity/travel to: • Modelling COVID-19 spread and activity/travel impacts. • Modelling mobility service provision. • Transferring ABM models to Latin American. Common themes across these case studies are the adaptability of ABMs to address complex urban spatial-temporal socio-economic processes, and the lessons being learned supporting the longer-term improvement of ABMs for urban policy analysis. 2. Airbnb is a disruptive internet platform coordinating buyers and sellers of available bed spaces in residential properties. This may make the utilisation of property more efficient if it was otherwise unused. It may, however, lead to changing long term accommodation into short term rentals to the detriment of local housing supply. It is therefore an activity of interest to policy makers. This analysis seeks to relate Airbnb locations to measures of accessibility to give some insight into which areas as yet unaffected, may become vulnerable and which areas may be able to accept Airbnb.

Abstract:

1. Even before the COVID-19 pandemic struck, we were facing a “new urban world” of disruption driven by new mobility technologies, social justice demands, climate change, and continuing urban growth, particularly in the global south. Urban modelling needs to play a role, both in informing short-run pandemic control policies and guiding longer-term evolution into a better “new normal”.
This paper summarizes current research adapting an ABM model of activity/travel to:
• Modelling COVID-19 spread and activity/travel impacts.
• Modelling mobility service provision.
• Transferring ABM models to Latin American.
Common themes across these case studies are the adaptability of ABMs to address complex urban spatial-temporal socio-economic processes, and the lessons being learned supporting the longer-term improvement of ABMs for urban policy analysis.

2. Airbnb is a disruptive internet platform coordinating buyers and sellers of available bed spaces in residential properties. This may make the utilisation of property more efficient if it was otherwise unused. It may, however, lead to changing long term accommodation into short term rentals to the detriment of local housing supply. It is therefore an activity of interest to policy makers. This analysis seeks to relate Airbnb locations to measures of accessibility to give some insight into which areas as yet unaffected, may become vulnerable and which areas may be able to accept Airbnb.

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