A Data Mining Approach to Analyze Occupant Behavior Motivation

Ren, Xinyuyang; Zhao, Yang; Zeiler, W Wim; Boxem, G.; Li, Tingting

doi:10.1016/j.proeng.2017.09.971

Cited by 6 publications

(3 citation statements)

References 8 publications

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“…Dalam ilmu data modern disebutkan bahwa data identik dengan fakta, dan demikian semakin banyak data yang dikumpulkan untuk analisis, semakin baik [4]. Pengumpulan data saat ini dapat melalui wawancara maupun kuesioner walaupun untuk sebagian orang cara ini kurang efisien [5]. Nantinya data yang diperoleh akan memunculkan kriteria-kriteria yang dapat digunakan untuk menentukan metode apa yang akan digunakan [6].…”

Section: Deskripsi Topik Yang Samaunclassified

Rancang Bangun Aplikasi Pendataan Sensus Ekonomi Berbasis Mobile

Prianto¹,

Lutfiasih²

2019

jumanji

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Badan Pusat Statistik (BPS) merupakan sebuah institusi pemerintah yang mempunyai hak untuk melakukan kegiatan statistik yaitu berupa sensus dan survei. BPS melakukan pengolahan data dari beberapa sensus, cotohnya yaitu tentang sosial dan kependudukan, ekonomi dan perdagangan, serta pertanian dan pertambangan. Setiap data dan keputusan yang diambil harus berdasarkan informasi yang valid dan akurat. Namun semakin meningkatnya permintaan data dan informasi maka akan berpengaruh pula pada meningkatnya kegiatan survei yang tidak sebanding dengan terbatasnya jumlah SDM. Meski BPS mempunyai sistem dan infrastruktur teknik informasi yang memadai, namun masih ada sistem yang belum sepenuhnya terintegrasi dengan baik. Sistem yang akan dibuat adalah sistem pada aplikasi yang digunakan BPS dalam pengolahan data sensus ekonomi untuk Usaha Mikro dan Kecil. Sistem tersebut dianalisis dengan cara pengumpulan data dengan menggunakan kuesioner. Sistem yang akan dianalisis tersebut diharapkan dapat dibuat aplikasi dengan menggunakan model Waterfall.Dengan menggunakan model Waterfall maka kualitas pengembangan yang dihasilkan akan lebih baik karena dilakukan secara bertahap sehingga sistem yang akan dikembangkan dapat membantu petugas dalam mengolah data.

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Section: Deskripsi Topik Yang Samaunclassified

Rancang Bangun Aplikasi Pendataan Sensus Ekonomi Berbasis Mobile

Prianto¹,

Lutfiasih²

2019

jumanji

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“…Thus, when, the respondent's behavior is considered true, it will act as a latent variable for real control and may contribute to the prediction and estimation of behavior. When using the methodology of survey applications as a strategy [37][10], it has been possible to broaden the understanding of occupant behavior as well as comfort requirements in office and residential buildings. This type of study through surveys, has a low response rate of around 11% -16%, despite the incentives that can be offered to the participants [23] [38].…”

Section: Introductionmentioning

confidence: 99%

Survey-based Exploratory Factor Analysis of Building-Occupant Behavior Interaction: A Case Study in Panama

Parker¹,

Mora²,

Austin³

2022

Proceedings of the 20th LACCEI International Multi-Conference for Engineering, Education and Technology: “Education, Research A

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Surveys, as a tool for data collection, allow us to carry out exploratory factor analysis studies in an agile, efficient and economical way. This report consolidates the aspects that define the behavior of occupants in office buildings together with the external or internal stimuli that provoke reactions. Consequently, the objective may or may not be adaptive, to adjust the conditions of the environment and whose purpose is to preserve the comfort and/or good quality of the interior environment. For this purpose, two population samples are chosen for convenience and in different spaces and periods, to understand and estimate the possible impacts on electricity consumption in office buildings, of the Technological University of Panama (UTP).

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“…To model occupants' behavior, the correlation coefficient is an effective method used to predict and model the behavior of responses based on occupant-related information [72]. Additionally, logistic regression can be employed to analyze occupant behavior and predict the likelihood of behavior based on various factors [73]. Modelling the occupancy and opening and closing window patterns is crucial in predicting occupants' behavior as they have a significant impact on NV and energy consumption in buildings.…”

mentioning

confidence: 99%

Linking Occupant Behavior and Window Design through Post-Occupancy Evaluation: Enhancing Natural Ventilation and Indoor Air Quality

Pourtangestani,

Izadyar,

Jamei

et al. 2024

Buildings

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This study investigates how window design features, such as size, placement, and orientation, might impact occupants’ behavior related to natural ventilation in residential houses and how residents manage natural ventilation to affect indoor air quality (IAQ), comfort, and energy efficiency. By analyzing responses from a questionnaire distributed among 200 occupants, this article reveals that stuffy air, perceived outdoor pollutants, odors, and relative humidity, along with factors like inadequate ventilation, temperature fluctuations, and energy consumption concerns, emerge as primary issues affecting occupants’ comfort and well-being. This study proposes design recommendations for enhancing IAQ, including optimal window placement for cross-ventilation, window-to-wall ratio (WWR) considerations, and the integration of smart window technologies. This research recognizes that window design is not just a technical matter but involves understanding social and behavioral factors as well. By analyzing occupant responses, it aims to provide insights into the socio-technical parameters that should be considered in window design. The findings offer valuable strategies for architects, designers, and homeowners to optimize natural ventilation and underscore the importance of an occupant-centered approach in sustainable building design.

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A Data Mining Approach to Analyze Occupant Behavior Motivation

Cited by 6 publications

References 8 publications

Rancang Bangun Aplikasi Pendataan Sensus Ekonomi Berbasis Mobile

Rancang Bangun Aplikasi Pendataan Sensus Ekonomi Berbasis Mobile

Survey-based Exploratory Factor Analysis of Building-Occupant Behavior Interaction: A Case Study in Panama

Linking Occupant Behavior and Window Design through Post-Occupancy Evaluation: Enhancing Natural Ventilation and Indoor Air Quality

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