A Recursive Spatial Equilibrium Model for Planning Large-Scale Urban Change

Jin, Ying; Echeñique, Marcial; Hargreaves, Anthony

doi:10.1068/b39134

Cited by 33 publications

(26 citation statements)

References 45 publications

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“…They continue to be the most operational and practical of all urban models, but they have undergone much further disaggregation into activity types with the addition of an incremental dynamics to update their static equilibria. In fact, some of the newer large-scale models such as UrbanSim (Waddell et al, 2003), IRPUD (Wegener, 2014), and the models emanating from Echenique's group Jin et al, 2013) are moving fast towards dynamic agent-based approaches and are now intrinsically wedded to notions of system modularity.…”

Section: Early History Interfaces Stakeholder Requirementsmentioning

confidence: 98%

SIMULACRA: Fast Land-Use—Transportation Models for the Rapid Assessment of Urban Futures

Batty

Vargas

Smith

et al. 2013

Environ Plann B Plann Des

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We are building a series of fast, visually accessible, cross.-sectional, hence static urban models for large metropolitan areas that will enable us to rapidly test many different scenarios pertaining to both short-term and long-term urban futures. We call this framework SIMULACRA which is a forum for developing many different model variants which can be finely tuned to different problem contexts and future scenarios. The models are multisector, dealing with residential, retail/service, and employment location, are highly disaggregate, and subject to constraints on land availability and transport capacities. They have an explicit urban economic focus around transport costs, incomes, and house prices and thus encapsulate simple market-clearing mechanisms. Here we will briefly outline this class of models, paying particular attention to their structure and the way physical flows and locations are mirrored by economic flows in terms of costs and prices. Several versions of the model now exist, but we will focus, first, on the simplest 'one-window' desktop pilot version with the most obvious graphical interface; and, second, on a much more elaborated framework developed for web access, extensible to web service architectures and other related services. To demonstrate its flexibility and intelligibility, we define the various interfaces and demonstrate how the aggregate model can be calibrated to the wider London region to which it is applied. We will demonstrate the model, albeit briefly with respect to the rapid assessment of different urban futures-"what-if " scenarios, based on the impact of new London airports in the Thames Estuary. The key feature of this entire project is that the model and its variants can be run in a matter of seconds, thus entirely changing the traditional dialogue associated with their use and experimentation.

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Section: Early History Interfaces Stakeholder Requirementsmentioning

confidence: 98%

SIMULACRA: Fast Land-Use—Transportation Models for the Rapid Assessment of Urban Futures

Batty

Vargas

Smith

et al. 2013

Environ Plann B Plann Des

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“…Land-use and transport have traditionally been the main foci of applied urban modeling (Wegener, 1994(Wegener, , 2004. Over the past decades, significant research went into improving the operationality, comprehensiveness, and representativeness of urban models, informed by real-world applications of established models in various cities across the globe (Anas and Liu, 2007;Waddell, 2011;Jin et al, 2013;Wan and Jin, 2017). Applied urban models have played an important role in not only informing policy and interventions for cities and infrastructure, but also establishing a new science of cities through academic research (Batty, 2013).…”

Section: Urban Modeling and City-scale Digital Twinsmentioning

confidence: 99%

A Socio-Technical Perspective on Urban Analytics: The Case of City-Scale Digital Twins

Nochta

Wan

Schooling

et al. 2020

Journal of Urban Technology

112

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This paper demonstrates that a shift from a purely technical to a more socio-technical perspective has significant implications for the conceptualization, design, and implementation of smart city technologies. Such implications are discussed and illustrated through the case of an emerging urban analytics tool, the Cityscale Digital Twin. Based on interdisciplinary insights and a participatory knowledge co-production and tool co-development process, including both researchers and prospective users, we conclude that in order to move beyond a mere "hype technology," City-Scale Digital Twins must reflect the specifics of the urban and socio-political context.

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“…journeys to work and freight trips). Specifically, this research used a recursive spatial equilibrium model developed by Jin et al (2013) and Yang et al (2019a) to simulate the interactions between the labour, 1 product 2 and floorspace 3 markets, in response to land use and transport planning policies. Although there are many similar land use-transportation interaction models (for a detailed list, see Wegener, 2004), the spatial equilibrium approach was selected here for its advantage in determining market price with solid microeconomic foundations, which is regarded as a key determinant in location choices (Anas et al, 1998).…”

Section: Theoretical Frameworkmentioning

confidence: 99%

Understanding commuting patterns and changes: Counterfactual analysis in a planning support framework

Yang

2020

Environment and Planning B: Urban Analytics and City Science

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In order to contain commuting distance growth and relieve traffic burden in mega-city regions, it is essential to understand journey-to-work patterns and changes in those patterns. This research develops a planning support model that integrates increasingly available mobile phone data and conventional statistics into a theoretical urban economic framework to reveal and explain commuting changes. Base-year calibration and cross-year validation were conducted first to test the model’s predictive ability. Counterfactual simulations were then applied to help local planners and policymakers understand which factors lead to differences in commuting patterns and how different policies influence various categorical zones (i.e. centre, near suburbs, sub-centres and far suburbs). The case study of Shanghai shows that jobs–housing co-location results in shorter commutes and that policymakers should be more cautious when determining workplace locations as they play a more significant role in mitigating excessive commutes and redistributing travel demand. Furthermore, land use and transport developments should be coordinated across spatial scales to achieve mutually beneficial outcomes for both the city centre and the suburbs. Coupled with empirical evidence explaining commuting changes over time, the proposed model can deliver timely and situation-cogent messages regarding the success or failure of planned policy initiatives.

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A Recursive Spatial Equilibrium Model for Planning Large-Scale Urban Change

Cited by 33 publications

References 45 publications

SIMULACRA: Fast Land-Use—Transportation Models for the Rapid Assessment of Urban Futures

SIMULACRA: Fast Land-Use—Transportation Models for the Rapid Assessment of Urban Futures

A Socio-Technical Perspective on Urban Analytics: The Case of City-Scale Digital Twins

Understanding commuting patterns and changes: Counterfactual analysis in a planning support framework

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