TY - GEN
T1 - Integrated Energy-Use Model to Identify Energy-Use Profile of Hotel Guests
AU - Palani, Hevar
AU - Karatas, Aslihan
N1 - Publisher Copyright:
© 2021 Computing in Civil Engineering 2021 - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2021. All rights reserved.
PY - 2021
Y1 - 2021
N2 - Hotel guests' energy-related behavior is one of the main factors that affects energy consumption in hotel buildings. However, there are few studies that provide practical and efficient energy-use reduction strategies based on guests' energy-related behavior in hotel buildings. To address this research gap, this study aims to develop an integrated energy-use model in four steps: (1) incorporating four energy-related behavior models (i.e., motivation-opportunity-ability, norm activation model, theory of planned behavior, and pro-environmental behavior); (2) developing a set of hypotheses and their relevant measures to examine the relationship among the energy-related behavior models and hotel guests' energy-use behavior; (3) conducting an energy-use survey to analyze the effect of each determined measure on hotel guests' energy-use behavior; and (4) analyzing the energy behavior data to identify energy-use profiles (i.e., prone, indifferent, or resistant to change) of hotel guests. The findings can provide decision-makers in hospitality management with a better understanding of their guests' energy-related behavior and accordingly develop effective strategies to reduce energy consumption in hotel buildings.
AB - Hotel guests' energy-related behavior is one of the main factors that affects energy consumption in hotel buildings. However, there are few studies that provide practical and efficient energy-use reduction strategies based on guests' energy-related behavior in hotel buildings. To address this research gap, this study aims to develop an integrated energy-use model in four steps: (1) incorporating four energy-related behavior models (i.e., motivation-opportunity-ability, norm activation model, theory of planned behavior, and pro-environmental behavior); (2) developing a set of hypotheses and their relevant measures to examine the relationship among the energy-related behavior models and hotel guests' energy-use behavior; (3) conducting an energy-use survey to analyze the effect of each determined measure on hotel guests' energy-use behavior; and (4) analyzing the energy behavior data to identify energy-use profiles (i.e., prone, indifferent, or resistant to change) of hotel guests. The findings can provide decision-makers in hospitality management with a better understanding of their guests' energy-related behavior and accordingly develop effective strategies to reduce energy consumption in hotel buildings.
UR - https://www.scopus.com/pages/publications/85132543082
U2 - 10.1061/9780784483893.085
DO - 10.1061/9780784483893.085
M3 - Conference contribution
AN - SCOPUS:85132543082
T3 - Computing in Civil Engineering 2021 - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2021
SP - 688
EP - 695
BT - Computing in Civil Engineering 2021 - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2021
A2 - Issa, R. Raymond A.
PB - American Society of Civil Engineers (ASCE)
T2 - 2021 International Conference on Computing in Civil Engineering, I3CE 2021
Y2 - 12 September 2021 through 14 September 2021
ER -