@article{VoelkerBeckmannKoehlmannetal.,
  author    = {V{\"o}lker, Conrad and Beckmann, Julia and Koehlmann, Sandra and Kornadt, Oliver},
  title     = {Occupant requirements in residential buildings - an empirical study and a theoretical model},
  series = {Advances in Building Energy Research},
  journal   = {Advances in Building Energy Research},
  number    = {7 (1)},
  doi       = {10.25643/bauhaus-universitaet.3813},
  url       = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20181015-38137},
  pages     = {35 -- 50},
  abstract  = {Occupant needs with regard to residential buildings are not well known due to a lack of representative scientific studies. To improve the lack of data, a large scale study was carried out using a Post Occupancy Evaluation of 1,416 building occupants. Several criteria describing the needs of occupants were evaluated with regard to their subjective level of relevance. Additionally, we investigated the degree to which deficiencies subjectively exist, and the degree to which occupants were able to accept them. From the data obtained, a hierarchy of criteria was created. It was found that building occupants ranked the physiological needs of air quality and thermal comfort the highest. Health hazards such as mould and contaminated building materials were unacceptable for occupants, while other deficiencies were more likely to be tolerated. Occupant satisfaction was also investigated. We found that most occupants can be classified as satisfied, although some differences do exist between different populations. To explain the relationship between the constructs of what we call relevance, acceptance, deficiency and satisfaction, we then created an explanatory model. Using correlation and regression analysis, the validity of the model was then confirmed by applying the collected data. The results of the study are both relevant in shaping further research and in providing guidance on how to maximize tenant satisfaction in real estate management.},
  subject      = {Post Occupancy Evaluation},
  language  = {en}
}
@article{FaroughiKarimimoshaverArametal.,
  author    = {Faroughi, Maryam and Karimimoshaver, Mehrdad and Aram, Farshid and Solgi, Ebrahim and Mosavi, Amir and Nabipour, Narjes and Chau, Kwok-Wing},
  title     = {Computational modeling of land surface temperature using remote sensing data to investigate the spatial arrangement of buildings and energy consumption relationship},
  series = {Engineering Applications of Computational Fluid Mechanics},
  volume    = {2020},
  journal   = {Engineering Applications of Computational Fluid Mechanics},
  number    = {Volume 14, No. 1},
  publisher = {Taylor \& Francis},
  doi       = {https://doi.org/10.1080/19942060.2019.1707711},
  url       = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20200110-40585},
  pages     = {254 -- 270},
  abstract  = {The effect of urban form on energy consumption has been the subject of various studies around the world. Having examined the effect of buildings on energy consumption, these studies indicate that the physical form of a city has a notable impact on the amount of energy consumed in its spaces. The present study identified the variables that affected energy consumption in residential buildings and analyzed their effects on energy consumption in four neighborhoods in Tehran: Apadana, Bimeh, Ekbatan-phase I, and Ekbatan-phase II. After extracting the variables, their effects are estimated with statistical methods, and the results are compared with the land surface temperature (LST) remote sensing data derived from Landsat 8 satellite images taken in the winter of 2019. The results showed that physical variables, such as the size of buildings, population density, vegetation cover, texture concentration, and surface color, have the greatest impacts on energy usage. For the Apadana neighborhood, the factors with the most potent effect on energy consumption were found to be the size of buildings and the population density. However, for other neighborhoods, in addition to these two factors, a third factor was also recognized to have a significant effect on energy consumption. This third factor for the Bimeh, Ekbatan-I, and Ekbatan-II neighborhoods was the type of buildings, texture concentration, and orientation of buildings, respectively.},
  subject      = {Fernerkung},
  language  = {en}
}
@phdthesis{Bubner2006,
  author    = {Bubner, Andr{\´e}},
  title     = {Datenmodelle zur Bearbeitung von Ingenieuraufgaben am Beispiel von Wohnh{\"a}usern in Stahlbauweise},
  doi       = {10.25643/bauhaus-universitaet.808},
  url       = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20070423-8580},
  school      = {Bauhaus-Universit{\"a}t Weimar},
  year      = {2006},
  abstract  = {Modelle bilden die Grundlage der Planung. Sie repr{\"a}sentieren die zur Bearbeitung erforderlichen Eigenschaften eines Bauwerks in einer an die spezifische Aufgabe angepassten Form. Zwischen den verschiedenen zur Abbildung des Bauwerks eingesetzten Modellen bestehen fachliche Zusammenh{\"a}nge bez{\"u}glich der darin abgebildeten Aspekte. Diese Abh{\"a}ngigkeiten werden in der praktischen Planungsbearbeitung gegenw{\"a}rtig auf Grundlage von Erfahrungswerten, normativen Vorgaben und vereinfachenden Annahmen ber{\"u}cksichtigt. Die detailliertere Modellierung von Bauwerkseigenschaften f{\"u}hrt zu einer engeren Verzahnung der verschiedenen Modelle. Um eine fachliche Inselbildung zu vermeiden, ist eine entsprechend angepasste Abbildung der zwischen den einzelnen Modellen bestehenden Beziehungen erforderlich. Mit den steigenden Anspr{\"u}chen an eine Bearbeitung von Ingenieuraufgaben gewinnt eine {\"u}ber den Zweck der Bereitstellung ausgew{\"a}hlter Informationen zum Bauwerk und der Unterst{\"u}tzung eines Datenaustauschs zwischen verschiedenen Fachplanern hinausgehende datentechnische Abbildung an Bedeutung. Dies setzt eine Diskussion der Anforderungen an eine solche Beschreibung aus fachlicher Sicht voraus. Die Untersuchung der fachlichen Anforderungen wird am Beispiel von Wohnh{\"a}usern in Stahlbauweise gef{\"u}hrt.},
  subject      = {Modellierung},
  language  = {de}
}