With cities being responsible for up to 70% of energy-related carbon emissions, municipal governments worldwide are becoming increasingly aware of their responsibility to act. Many large cities have committed to mitigation by becoming member of a municipal climate network, such as the C40 or the Compact of Mayors. However, there is no consistent assessment of whether membership of such networks translates into measurable outcomes. To fill this gap, we propose the use of novel outcome variables, combining financial data with geospatial information. As a starting point, this paper compares utility-scale investment in photovoltaics (PV) within the administrative boundaries of large global cities, combining the Bloomberg New Energy Finance database with information from Google Maps. We analyse 512 global cities with a population of above 1 million, and consider the impact of 5 networks and 2 reporting platforms. The results suggest that membership of the C40 network has a positive effect on utility-scale solar PV investment, while no such evidence is found for any of the other networks or reporting platforms under study. Based on our findings, we recommend that municipal climate networks increase their efforts to trigger city regulation that is conducive to solar PV investment. More generally, measuring early indicators, such as low-carbon investment, can help municipal climate networks in their role as ‘commitment brokers’ for climate action on the ever-more important city level.
Key policy insights
Cities have considerable policy space to foster utility-scale solar PV investment within their administrative boundaries.
While some large global cities exhibited significant growth in utility-scale solar PV, many others with good solar potential did not have a single project by the end of 2016.
Outside of China (where city boundaries often include rural areas), Tokyo tops the list with utility-scale solar PV projects by far, followed by San Diego and Rome.
Membership of the C40 network appears to make a positive difference to PV investment, unlike other networks or reporting platforms.
Outcome measures like low-carbon investment can be used more generally to assess the climate action performance of cities.
Accurate modeling of urban climate is essential to predict potential environmental risks in cities. Urban datasets, such as urban land use and urban canopy parameters (UCPs), are key input data for urban climate models and largely affect their performance. However, access to reliable urban datasets is a challenge, especially in fast urbanizing countries. In this study, we developed a high-resolution national urban dataset in China (NUDC) for the WRF/urban modeling system and evaluated its effect on urban climate modeling. Specifically, an optimization method based on building morphology was proposed to classify urban land use types. The key UCPs, including building height and width, street width, surface imperviousness, and anthropogenic heat flux, were calculated for both single-layer Urban Canopy Model (UCM) and multiple-layer Building Energy Parameterization (BEP). The results show that the derived morphological-based urban land use classification could better reflect the urban characteristics, compared to the socioeconomic-function-based classification. The UCPs varied largely in spatial within and across the cities. The integration of the developed urban land use and UCPs datasets significantly improved the representation of urban canopy characteristics, contributing to a more accurate modeling of near-surface air temperature, humidity, and wind in urban areas. The UCM performed better in the modeling of air temperature and humidity, while the BEP performed better in the modeling of wind speed. The newly developed NUDC can advance the study of urban climate and improve the prediction of potential urban environmental risks in China. 相似文献
Ganzhou District is an oasis city in the Zhangye Municipality of Gansu Province,China.Based on multi-temporal TM and ETM satellite remote sensing data in 1985,1996,2000,and 2012,and by using corrected figures of land use status over the same periods,the spatial area of Ganzhou District since 1985 was extracted with statistical methods,and urban spatial expansion was measured by quantitative research methods.The characteristics of spatial expansion of Ganzhou District were analyzed by urban expansion rate,expansion intensity index,compactness,fractal dimension,and the city center shift method.The results showed that the built-up area of Ganzhou District increased by 3.46 times during 1985–2012.The expansion in 1985–1996 was slow,during 1996–2000 it was rapid,and during 2000–2012 it was at a high speed.This city mainly expanded to the northeast and northwest.Government decision making had a decisive influence on urban expansion.Initially the expansion was uniform,but later the local transportation,economy,resources,population,and national policies factors had an obvious influence on urban expansion. 相似文献