new publication: Estimating housing vacancy rates at block level

new publication: Estimating housing vacancy rates at block level

April 18, 2022

Hannes Taubenböck and colleagues published a new article on “Estimating housing vacancy rates at block level: The example of Guiyang, China” in Landscape and Urban Planning. From the abstract: “For the real estate market, housing prices as well as housing vacancy rates (HVRs) are key indicators. However, for the latter indicator, there is no official data set for Chinese cities. Collecting HVR in a traditional way requires enormous personnel efforts and is therefore very expensive and time consuming. In this study, we introduce a framework for estimating the HVR at high spatial resolution (i.e. at block level) for residential areas based on several emerging data sources. The developed framework consists of three steps: 1) we extract residential blocks and map detailed housing data. These data are applied to estimate the population capacity; 2) we spatially distribute the actual census population into residential blocks as a function of night light emission intensity; 3) we estimate the HVR for each residential block according to the gap between its actual distributed population and the estimated population capacity. We find the following main results for our test case of Guiyang in China: 1) the average HVR in the urban area of Guiyang is estimated at 25%; 2) with rising distance to the city center the HVR is increasing; 3) the buildings that have been built more recently feature higher HVRs. We check the plausibility of our approach using water consumption data as proxy information for residency. These checks reveal high accuracies. With this suggested workflow relying on open data sources and the achieved plausibility, the developed framework for HVR estimation has the potential to be applied on a large scale.”

read the full article here:

“Estimating housing vacancy rates at block level: The example of Guiyang, China”: https://www.sciencedirect.com/science/article/pii/S0169204622000809

you may also like:

Meeting with majors and local stakeholders within EO4CAM project

Meeting with majors and local stakeholders within EO4CAM project

On Wednesday, 30 October, a delegation from the EO4CAM project (comprising three members of the EORC and one from the ZKI, DLR) visited the small town of Markt Burgheim in Bavaria. They joined a meeting of local authorities and other stakeholders to discuss strategies...

social bouldering event

social bouldering event

Last Friday did we organize again a social event for all staff members and EAGLEs to get to know the new students, meet and chat with old students and just have a nice time outside the office for all staff members. We spend 4 hours together in the Rock In boulder gym...

snow cover conditions at Zugspitze with UAS sensors

snow cover conditions at Zugspitze with UAS sensors

Our UAS team travelled to Umweltforschungsstation Schneefernerhaus at Zugspitze to continue the time-series analysis for landscape analysis using drones. At an average elevation of 2500 meters, the team, Luisa Pflumm, Baturalp Arisoy, Konstantin Müller and Basil...

Guest lecture at KonGeoS conference

Guest lecture at KonGeoS conference

The KonGeoS conference (24-27.10.2024 in Würzburg) of geodesy student councils in Germany, Switzerland and Austria invited our Professor Hannes Taubenböck to give a guest lecture. On 25 October 2024, he gave a lecture on settlement development in Germany and discussed...

OPTIPLAN – Driving Innovation in Traffic and Urban Planning

OPTIPLAN – Driving Innovation in Traffic and Urban Planning

Driving Innovation in Traffic and Urban Planning: Insights from OPTIPLAN On October 24, 2024, the OPTIPLAN research consortium (German Aerospace Center (DLR)/University of Würzburg, Ingenieurbüro Behringer & Partner, and OBERMEYER GmbH) gathered to advance...