Growth Scenarios for the City of Guangzhou, China: Transferability and Confirmability

Arthur Lehner (Vortragende:r), Klaus Steinnocher, Valentin Kraus

Publikation: Beitrag in Buch oder TagungsbandVortrag mit Beitrag in TagungsbandBegutachtung


This work deals with the development of urban growth scenarios and the prevision of the spatial distribution of built-up area and population for the urban area of the city of Guangzhou in China. Using freely-available data, including remotely sensed data as well as census data from the ground, expenditure of time and costs shall remain low. Guangzhou, one of the biggest cities within the Pearl River Delta, has faced an enormous economic and urban growth during the last three decades. Due to its economical and spatial characteristics it is a promising candidate for urban growth scenarios. The monitoring and prediction of urban growth comprises data of population and give them a spatial representation. The model, originally applied for the Indian city Ahmedabad, is used for urban growth scenarios. Therefore, transferability and confirmability of the model are evaluated. Challenges that may occur by transferring a model for urban growth from one region to another are discussed. With proposing the use of urban remote sensing and freely available data, urban planners shall be fitted with a comprehensible and simple tool to be able to contribute to the future challenge Smart Growth.
TitelTC IV First International Conference on Smart Data and Smart Cities, 30th UDMS (Volume IV-4/W1)
PublikationsstatusVeröffentlicht - 2016
VeranstaltungISPRS - First International Conference on Smart Data and Smart Cities -
Dauer: 7 Sept. 20169 Sept. 2016


KonferenzISPRS - First International Conference on Smart Data and Smart Cities

Research Field

  • Ehemaliges Research Field - Energy


  • Urban remote sensing
  • Urban planning
  • Urban growth
  • Pearl River Delta
  • Guangzhou
  • China

Diese Publikation zitieren