SCALE (SMALL CHANGES LEAD TO LARGE EFFECTS): Changing Energy Costs in Transport and Location Policy
Lead Research Organisation:
University College London
Department Name: Centre for Advanced Spatial Analysis
Abstract
Transport and residential location consume substantial quantities of energy whilst serving only to facilitate primary economic and societal activities. The relationship between urban form and travel patterns is inherently complex: it can be influenced by policy but through many individual personal responses rather than being subject to explicit control. Managing the energy used in transport is therefore an indirect process that works by influencing the amount and distance of travel, the means by which travel takes place, and the energy requirement of the resulting travel. Achieving this effectively requires an a full understanding of the many complex interacting social processes that generate the demand for travel and impinge on the ways in which it is satisfied in terms of its supply. The complexity sciences provide a framework for organising this understanding. In this project, we argue that changes in energy costs generate surprising and unanticipated effects in complex systems such as cities, largely because of the many order effects that are generated when changes in movement and the energy utilities used to sustain locations generate multiplier effects that are hard to trace and even harder to contain. For example, as energy costs increase, people eventually reach a threshold beyond which they cannot sustain their existing travel patterns or even their locations and then rapid shifts occur in their behaviour. When energy costs reduce, these shifts are by no means symmetrical as people switch out of one activity into another, by changing location as well as mode.At UCL, we have four groups of researchers building models of urban and transport systems which provide related perspectives on these responses to changing energy costs. Wilson pioneered the development of entropy maximising approaches to transport and location in which energy and travel costs are essential determinants of travel and his recent work in nesting these models within a dynamics that generate unanticipated effects is key to understanding the kinds of changes that are now being effected by changing energy costs. In a complementary way, these models can be provided with a much stronger rationale using recent theories of spatial agglomeration which date back to Turing but find their clearest expression in the work of Krugman (TK models). These models thus inform the Boltzman-Lotka-Volterra (BLV) models developed by Wilson. Translating these models into physical infrastructures involves explicit developments in network science and Zhou and Heydecker's models suggest ways in which energy costs might be reduced by linking physical networks to flows generated by the BLV and TK models. What we propose here is to extend and develop these three approaches, extending our existing operational land use transport model for Greater London (built as part of the Tyndall Centre's Cities programme) to enable our partners to explore 'what if ' questions involving changing energy costs on the city.The methodologies we will employ to explore these models involve nonlinearities that are caused by positive feedback effects in complex systems where n'th order multiplier effects are endemic. We will use phase space representations to visualise such changes and then implement these in the operational land use transport model which we will disseminate to our partners in the quest to pose significant policy questions. We intend to provide a series of tightly coupled deliverables to progress this science to the point where it is directly usable by policy makers and professionals. We will communicate our findings using various kinds of web-based services being developed under related projects. In this way, we will develop best practice based on best science. We believe that we can demonstrate the essential logic of complexity science to a much wider constituency in developing insights into these most topical questions of the changing cost of energy.
Organisations
Publications
Arcaute E
(2015)
Constructing cities, deconstructing scaling laws.
in Journal of the Royal Society, Interface
Batty M
(2013)
Sociology. A theory of city size.
in Science (New York, N.Y.)
Batty M
(2015)
Competition in the Built Environment: Scaling Laws for Cities, Neighbourhoods and Buildings
in Nexus Network Journal
Batty M
(2011)
Modeling and Simulation in Geographic Information Science: Integrated Models and Grand Challenges
in Procedia - Social and Behavioral Sciences
Batty M
(2012)
Urban Regeneration as Self-Organisation
in Architectural Design
Batty M
(2013)
Visually-Driven Urban Simulation: Exploring Fast and Slow Change in Residential Location
in Environment and Planning A: Economy and Space
Batty M
(2013)
SIMULACRA: Fast Land-Use-Transportation Models for the Rapid Assessment of Urban Futures
in Environment and Planning B: Planning and Design
Decraene J
(2013)
The Emergence of Urban Land Use Patterns Driven by Dispersion and Aggregation Mechanisms
in PLoS ONE
Masucci A
(2013)
Ergodic Properties of Urban Street Networks in the UK
Masucci A
(2015)
On the problem of boundaries and scaling for urban street networks
in Journal of The Royal Society Interface
Description | We use phase space representations to visualise major changes in transport infrastructure and then implement these in the operational land use transport model which we will disseminate to our partners in the quest to pose significant policy questions. We have provided a series of tightly coupled deliverables to progress this science to the point where it is directly usable by policy makers and professionals. We have communicated our findings using various kinds of web-based services being developed under related projects. In this way, we will develop best practice based on best science. We believe that we can demonstrate the essential logic of complexity science to a much wider constituency in developing insights into these most topical questions of the changing cost of energy. |
Exploitation Route | We are working now with UKCRIC to extend these fundings to other large infrastructure projects. These projects are related to new transport routes and airports as well as large scale employment and housing developments. We are working with the FCC to roll out these kinds of models to the wider context |
Sectors | Communities and Social Services/Policy Digital/Communication/Information Technologies (including Software) Energy Environment Transport |
Description | Transport and residential location consume substantial quantities of energy whilst serving only to facilitate primary economic and societal activities. The relationship between urban form and travel patterns is inherently complex: it can be influenced by policy but through many individual personal responses rather than being subject to explicit control. Managing the energy used in transport is therefore an indirect process that works by influencing the amount and distance of travel, the means by which travel takes place, and the energy requirement of the resulting travel. Achieving this effectively requires an a full understanding of the many complex interacting social processes that generate the demand for travel and impinge on the ways in which it is satisfied in terms of its supply. The complexity sciences provide a framework for organising this understanding. In this project, we argue that changes in energy costs generate surprising and unanticipated effects in complex systems such as cities, largely because of the many order effects that are generated when changes in movement and the energy utilities used to sustain locations generate multiplier effects that are hard to trace and even harder to contain. For example, as energy costs increase, people eventually reach a threshold beyond which they cannot sustain their existing travel patterns or even their locations and then rapid shifts occur in their behaviour. When energy costs reduce, these shifts are by no means symmetrical as people switch out of one activity into another, by changing location as well as mode.At UCL, we have four groups of researchers building models of urban and transport systems which provide related perspectives on these responses to changing energy costs. Wilson pioneered the development of entropy maximising approaches to transport and location in which energy and travel costs are essential determinants of travel and his recent work in nesting these models within a dynamics that generate unanticipated effects is key to understanding the kinds of changes that are now being effected by changing energy costs. In a complementary way, these models can be provided with a much stronger rationale using recent theories of spatial agglomeration which date back to Turing but find their clearest expression in the work of Krugman (TK models). These models thus inform the Boltzman-Lotka-Volterra (BLV) models developed by Wilson. Translating these models into physical infrastructures involves explicit developments in network science and Zhou and Heydecker's models suggest ways in which energy costs might be reduced by linking physical networks to flows generated by the BLV and TK models. What we propose here is to extend and develop these three approaches, extending our existing operational land use transport model for Greater London (built as part of the Tyndall Centre's Cities programme) to enable our partners to explore 'what if ' questions involving changing energy costs on the city.The methodologies we employ to explore these models involve nonlinearities that are caused by positive feedback effects in complex systems where n'th order multiplier effects are endemic. |
First Year Of Impact | 2007 |
Sector | Digital/Communication/Information Technologies (including Software),Energy,Environment,Transport |
Impact Types | Societal Economic Policy & public services |