Macroprudential Policy in an Agent-Based Model of the UK Housing Market

2016 ◽  
Author(s):  
Rafa Baptista ◽  
Marc Hinterschweiger ◽  
Katie Low ◽  
Arzu Uluc
Keyword(s):  
Housing Market ◽  
Agent Based Model ◽  
Macroprudential Policy ◽  
Agent Based ◽  
The Uk

An Agent-Based Model of Residential Choice Dynamics in Nonstationary Housing Markets

2009 ◽  
Vol 41 (8) ◽  
pp. 1997-2013 ◽  
Author(s):  
Oswald T J Devisch ◽  
Harry J P Timmermans ◽  
Theo A Arentze ◽  
Aloys W J Borger
Keyword(s):  
Housing Market ◽  
Single Agent ◽  
Housing Markets ◽  
Residential Choice ◽  
Agent Based Model ◽  
Choice Behaviour ◽  
Agent Based ◽  
Choice Dynamics ◽  
Imperfect Knowledge

This paper presents an agent-based model developed to simulate residential choice behaviour in a nonstationary housing market. The model is built around the assumption that agents have incomplete and imperfect knowledge, and thus have to base their decisions on beliefs. The aim is to illustrate how the agents deal with the uncertainty inherent in these beliefs, both at the level of a single agent, deciding among a set of successive actions, and at the level of a group of agents, negotiating over the price of a house.

scholarly journals An Initial Agent-Based Model for E-scooter Accommodation into Existing Urban Streetscapes

2021 ◽  
Author(s):  
Hannah Gumble ◽  
Sarah Wise
Keyword(s):  
Large Scale ◽  
Transition Period ◽  
Agent Based Model ◽  
Modal Interactions ◽  
Private Company ◽  
Agent Based ◽  
Trade Offs ◽  
Group Experiences ◽  
The Individual ◽  
The Uk

New forms of mobility reshape the transportation landscape, changing movement for both their users and others in the environment. The transition period during which novel forms of travel are being explored can be a challenging time while the use of spaces must be renegotiated. E-scooters, which have recently been more widely introduced to the UK, are experiencing such a moment as riders, planners, and other users of the streetscape are determining what role this technology will play in communities. The data gaps surrounding e-scooters can make this an especially difficult question for planners because of the cost of gathering relevant observational data, much of which is held under private company ownership. In light of this, this work presents an agent-based model developed to examine the integration of e-scooters into existing streetscapes. Agent-based models explore phenomena through focusing on individual behaviour and rules which in turn gives rise to emergent large scale patterns. These patterns can be dissected and interrogated with a variety of tools, allowing us to tease out individual as well as group experiences of different scenarios. An agent-based approach allows us to capture the individual behaviours of e-scooter users and those of cyclists, drivers of variously sized vehicles, pedestrians, and others present in the environment. By focusing on the interactions of these various street users, we can explore how different approaches to e-scooter integration may fare relative to varying street configurations. Their decision frameworks are informed by observational studies of e-scooter users in order to augment the available data. We discuss the current state of understanding e-scooter behaviour and the potential modelling applications, present an initial behavioural framework of e-scooter decision making and inter-modal interactions, and highlight some preliminary results examining the differences between e-scooters operating on roads versus shared segregated cycle lanes. The work concludes with a case study comparing two modelled scenarios, one including a segregated cycle lane and one without. Drawing upon metrics such as the route segmentation/ cut-off rate and average travel comfort, we can more precisely explore how new forms of mobility will influence different kinds of street users in order to better understand the trade-offs associated with different paths forward.

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