A spatiotemporal urban metabolism model for the Canberra suburb of Braddon in Australia

Schandl, Heinz; Marcos-Martínez, Raymundo; Baynes, Tim; Yu, Zefan; Miatto, Alessio; Tanikawa, Hiroki

doi:10.1016/j.jclepro.2020.121770

Cited by 41 publications

(45 citation statements)

References 27 publications

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“…Modelling spatiotemporal changes in urban built and green infrastructure could also contribute to more robust assessments of the potential of green infrastructure to influence urban microclimates, energy demand, carbon sequestration and other ecosystem services (Schandl, et al . 2020).…”

Section: Resultsmentioning

confidence: 99%

Valuing ecosystem services of urban forests and open spaces: application of the SEEA framework in Australia*

Tapsuwan¹,

Marcos-Martínez²,

Schandl³

et al. 2021

Aus J Agri & Res Econ

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Around two‐thirds of the global population will live in cities by 2050 requiring large urban infrastructure development. Decision‐makers and planners usually rely on standard economic accounting methods for urban planning and investments on infrastructure assets. However, standard methods fail to account for the ecosystem services benefits that living infrastructure (e.g. urban forests, open spaces) provides to city dwellers. This could generate socially inefficient configurations of urban spaces and compromise the achievement of long‐term urban sustainability targets. In this analysis, we applied a stochastic whole‐of‐life benefit–cost analysis following the System of Environmental‐Economic Accounting (SEEA) framework to compare alternative long‐term management strategies for living infrastructure in Canberra, Australia. Spatially explicit data, i‐Tree Eco and benefit transfer methods were used to estimate the stocks and flows ecosystem services benefits of urban forests and irrigated open spaces from 2018 to 2070. Our analysis suggests that a ’30 per cent canopy cover expansion’ scenario has the highest benefit–cost ratio, while the business as usual scenario, where a net loss of 400 trees is expected per year, offers the lowest benefit–cost ratio. Scenarios of expanding versus not expanding irrigated open spaces in the future both result in a benefit–cost ratio of approximately two.

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Section: Resultsmentioning

confidence: 99%

Valuing ecosystem services of urban forests and open spaces: application of the SEEA framework in Australia*

Tapsuwan¹,

Marcos-Martínez²,

Schandl³

et al. 2021

Aus J Agri & Res Econ

Self Cite

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“…In contrast, many published material stock maps and building volume predictions (e.g., ref ( 79 )) have scaled-down resolutions of 1 km (as in the right plate in Figure 5 ), though some local examples present the cadaster level. 32 NTL products usually have a resolution of 500–750 m; 42 , 43 , 48 , 80 , 81 results are often aggregated to even larger units. NTL are widely used to downscale economic measures such as economic activity, 82 poverty 83 or asset wealth 84 to small spatial scales on which no data are available from census statistics.…”

Section: Discussionmentioning

confidence: 99%

“…They are usually derived from official digitalized city plans, building permits, and infrastructure mappings, sometimes even available as public three-dimensional (3D) city or neighborhood models, 36 or obtained directly from lidar data. 32 They allow for highly detailed calculations of material stocks both in terms of spatial resolution and distinction of different materials, given sufficient data. 20 Cadasters can be used to generate very practicable information, for example, for spatial planning, urban mining, or waste management.…”

Section: Introductionmentioning

confidence: 99%

“… 33 , 34 , 37 − 39 Highly resolved lidar can provide data when cadaster data are unavailable, but these data are costly to obtain and often limited to relatively smaller areas such as city districts. 32 Regardless of the source, however, this approach is very data-intensive, and cadastral data are often expensive, difficult to access, and sometimes not available. This confines most studies to specific areas or cities.…”

Section: Introductionmentioning

confidence: 99%

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High-Resolution Maps of Material Stocks in Buildings and Infrastructures in Austria and Germany

Haberl

Wiedenhofer

Schug

et al. 2021

Environ. Sci. Technol.

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The dynamics of societal material stocks such as buildings and infrastructures and their spatial patterns drive surging resource use and emissions. Two main types of data are currently used to map stocks, night-time lights (NTL) from Earth-observing (EO) satellites and cadastral information. We present an alternative approach for broad-scale material stock mapping based on freely available high-resolution EO imagery and OpenStreetMap data. Maps of built-up surface area, building height, and building types were derived from optical Sentinel-2 and radar Sentinel-1 satellite data to map patterns of material stocks for Austria and Germany. Using material intensity factors, we calculated the mass of different types of buildings and infrastructures, distinguishing eight types of materials, at 10 m spatial resolution. The total mass of buildings and infrastructures in 2018 amounted to ∼5 Gt in Austria and ∼38 Gt in Germany (AT: ∼540 t/cap, DE: ∼450 t/cap). Cross-checks with independent data sources at various scales suggested that the method may yield more complete results than other data sources but could not rule out possible overestimations. The method yields thematic differentiations not possible with NTL, avoids the use of costly cadastral data, and is suitable for mapping larger areas and tracing trends over time.

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“…Other studies include different types of buildings and networks as well as different materials, but they are often limited to a small spatial scale like the city of Orléans (France) [32]. Therefore, tracking and locating construction material flows on a vast urban area remains a challenge [21][22][23].…”

Section: A Lack Of Coordination Between Circular Economy Strategies and Urban Planningmentioning

confidence: 99%

Inflows and Outflows from Material Stocks of Buildings and Networks and their Space-Differentiated Drivers: The Case Study of the Paris Region

Augiseau¹,

Kim²

2021

Sustainability

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Urbanization causes massive flows of construction materials and waste, which generates environmental impacts and land-use conflicts. Circular economy strategies at a local scale and in coordination with urban planning could respond to those issues. Implementing these strategies raises challenges as it requires a better knowledge of flows and their space-differentiated drivers. This article focuses on the case of the Paris region (Ile-de-France) in 2013. Construction materials inflows and outflows to and from anthropogenic stocks of buildings and networks are estimated and located though a bottom-up approach based on the collection and processing of geolocalized data. Flow analysis focuses on the relationship between urbanization and flows with a view to establishing context-specific circular economy strategies. Results show that regional inflows of construction materials to stocks in 2013 reach between 1.8 and 2.1 t/capita while outflows are between 1.0 and 1.5 t/capita. Both inflows and outflows are mainly driven by building construction and demolition as well as by road renewal. The region is composed of three sub-urban areas and flows per capita in the dense central city of Paris are significantly lower than in the low-density outskirt area of Grande Couronne (GC). Road renewal accounts for a larger share of flows in GC. Future research will address methodological limits.

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A spatiotemporal urban metabolism model for the Canberra suburb of Braddon in Australia

Cited by 41 publications

References 27 publications

Valuing ecosystem services of urban forests and open spaces: application of the SEEA framework in Australia*

Valuing ecosystem services of urban forests and open spaces: application of the SEEA framework in Australia*

High-Resolution Maps of Material Stocks in Buildings and Infrastructures in Austria and Germany

Inflows and Outflows from Material Stocks of Buildings and Networks and their Space-Differentiated Drivers: The Case Study of the Paris Region

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