Relevant bibliographies by topics / Hotel Room Rate Pricing

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Hotel Room Rate Pricing'

Author: Grafiati
Published: 10 December 2022
Last updated: 31 July 2025

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Journal articles on the topic "Hotel Room Rate Pricing"

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Karunarathne, A. C. I. D., and D. A. C. Silva. "The impact of hotel attributes on room rate in star graded hotels in Colombo, Sri Lanka." Journal of Sustainable Tourism and Entrepreneurship 2, no. 3 (2021): 159–70. http://dx.doi.org/10.35912/joste.v2i3.557.

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Abstract Purpose: The purpose of this study was to examine how the availability or absence of different hotel attributes affect the room rate during a given period. This study identified the impact of various hotel attributes on the room rate. Research methodology: Published data on available hotel attributes, and room rates of selected room categories of star-graded hotels in Colombo district, Sri Lanka, were gathered online through booking.com. The Ordinary Least Squares (OLS) method was used to estimate the impact of key determinants under hotel amenities, quality signals, and locational at
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Lysenko, Olena. "Development and Pricing Strategies of Hilton Hotel Chain." Restaurant and hotel consulting. Innovations 8, no. 1 (2025): 44–56. https://doi.org/10.31866/2616-7468.8.1.2025.334823.

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Topicality. The article is devoted to the development of the global Hilton hotel chain (using the example of New York Hilton Midtown and Hilton Kyiv), its history, as well as work principles formulated by Conrad Hilton. Aim and methods. The aim of the article is to analyse pricing strategies of the leading worldwide hotel chain Hilton and to study whether these strategies are predictive or whether the chain’s hotels use non-price factors in forming hotel room prices. For this purpose, to the time series of hotel room prices, the method of constructing prognostic regression mathematical models
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Nadia, El-Nemr, Canel-Depitre Beatrice, and Taghipour Atour. "The Determinants of Hotel Room Rates in Beirut: A Hedonic Pricing Model." International Journal of Trade, Economics and Finance 12, no. 2 (2021): 33–42. http://dx.doi.org/10.18178/ijtef.2021.12.2.690.

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This work attempts to identify locational, structural and other attributes that have an effect on room rates in Beirut region. Therefore, a sample of 89 hotels were considered in this study. Data were collected from TripAdvisor website during March 2019, considered as a low season in Lebanon. An OLS regression analysis was used to identify significant variables. Results has shown a strong positive significance of star rating category and accessible rooms, and a strong negative significance of centrally located, business and safe labels. Hotel managers are advised to use current findings and an
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Zheng, Tianxiang, Shaopeng Liu, Zini Chen, Yuhan Qiao, and Rob Law. "Forecasting Daily Room Rates on the Basis of an LSTM Model in Difficult Times of Hong Kong: Evidence from Online Distribution Channels on the Hotel Industry." Sustainability 12, no. 18 (2020): 7334. http://dx.doi.org/10.3390/su12187334.

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Given the influence of the financial-economic crisis, hotel room demand in Hong Kong has experienced a significant drop since June 2019. Given that studies on the room rate aspect remains limited, this study considers the demand for hotel rooms from different categories and districts. This study makes forecast attempts for room rates from mid-October of 2019 to mid-June of 2020, which was a difficult period for Hong Kong owing to the onset of the social unrest and novel coronavirus outbreak. This study develops an approach to the short-term forecasting of hotel daily room rates on the basis of
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Battiti, Roberto, Mauro Brunato, and Filippo Battiti. "RoomTetris: an optimal procedure for committing rooms to reservations in hotels." Journal of Hospitality and Tourism Technology 11, no. 4 (2020): 589–602. http://dx.doi.org/10.1108/jhtt-08-2019-0108.

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Purpose Many hotels allocate guests to specific rooms immediately after reservation. This happens because individual rooms are sold (and there is no concept of room type) or because the assignment is done by hand at reservation or because of a connection with a channel manager, which is immediately fixing the room number after a reservation request. This early allocation is suboptimal, and it causes the unnecessary rejection of some reservations when the hotel has a high occupancy level. The purpose of this paper is to investigate different room allocation algorithms, including an optimal one
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Uden, Lorna, and Suppanunta Romprasert. "A hedonic approach to study willingness to pay for certified green hotel by customers in Thailand." Smart Tourism 6, no. 1 (2025): 2852. https://doi.org/10.54517/st2852.

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<p>Green hotels are becoming increasingly popular as more and more people become conscious of the impact of their travel on the environment. There are several certifications known as Green Building Certificates<strong> </strong>given to hotels all over the world to encourage them to move towards eco-friendly attitude. Having a certification is often considered as a marketing tool. These certifications are often internationally known. Although green hotel has been gaining in popularity by both hotel business and tourist demand in Thailand, there is limited information whether
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Ifeanyi Kingsley Egbuna. "Financial analysis and performance review of ATLIQ Hotels: Strategic expansion perspectives." World Journal of Advanced Research and Reviews 27, no. 1 (2025): 823–35. https://doi.org/10.30574/wjarr.2025.27.1.2528.

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ATLIQ Hotels, being one of the upscale hotel chains with hotels in major Indian cities, embarked on data-driven innovation with an aim to enhance its marketing and operational strategy. This capstone project integrates high-value transactional data and interactive Power BI reports to disclose action-oriented insights for the months May to July 2022. From a combination of hotel reservations, room categories, finances, and customer reviews, the project offers an integrated depiction of ATLIQ's day-to-day performance environment. Five key datasets of hotel facilities, room categories, guest actio
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Schwartz, Zvi. "A Dynamic Equilibrium Pricing Model: A Game Theoretic Approach to Modelling Conventions' Room Rates." Tourism Economics 2, no. 3 (1996): 251–63. http://dx.doi.org/10.1177/135481669600200304.

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Utilizing the theoretical framework of game theory, this study provides an economic model to describe the process of determining a convention's room rates. It provides a method to infer simultaneously the room rate and the number of rooms allocated at each price level. This approach exploits information both on consumers' utilities and expectations, and on the hotel's perceptions of its markets. Equilibria in pure strategies are derived for various combinations of the market segments' relative size, supply demand ratios, and levels of willingness to pay. The study extends the existing literatu
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Satpute, Pratik, and Gautam Surendra Bapat. "The curious case of Hotel King’s Cross." Emerald Emerging Markets Case Studies 14, no. 1 (2024): 1–14. http://dx.doi.org/10.1108/eemcs-05-2023-0188.

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Learning outcomes The learning outcomes of this study are to recall the fundamental concept of revenue management in the hotel industry (remembering); explain the various performance measures used to evaluate room revenue in hotels (understanding); use revenue management strategies to improve room revenue in hotel operations (applying); and examine and evaluate the optimal solution for revenue enhancement, considering factors such as capacity management, duration control and differential pricing (analyzing). Case overview/synopsis This case study delves into the challenges faced by Hotel King’
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Barreda, Albert A., Sandra Zubieta, Han Chen, Marina Cassilha, and Yoshimasa Kageyama. "Evaluating the impact of mega-sporting events on hotel pricing strategies: the case of the 2014 FIFA World Cup." Tourism Review 72, no. 2 (2017): 184–208. http://dx.doi.org/10.1108/tr-02-2017-0018.

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PurposeThis study aims to examine the impact of a mega-sporting event “2014 FIFA World Cup” on hotel pricing strategies and performance. Design/methodology/approachThe present project examines the host regions’ response to the 2014 FIFA World Cup which was established by the variance in the main hotel key performance indexes: occupancy, average daily rate, revenue per available room (RevPAR) and supply. Using data gathered from STR, this research distinctly shows how the Brazilian host regions reacted to the World Cup. FindingsResults suggest that the key performance indicators of Brazil’s lod
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Dissertations / Theses on the topic "Hotel Room Rate Pricing"

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Mattimoe, Ruth. "An institutional study of room rate pricing in the Irish hotel industry." Thesis, University of Manchester, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.556321.

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The research presented in this thesis is centred on a study of room rate pricing in the Irish hotel industry which, since the late 1980s, has enjoyed a period of unparalleled expansion and has been an engine of growth for the economy. There has been little research on this aspect of the industry. Overall, the main research objective was to inquire into the way reality is perceived by hoteliers and to find out how they grapple with room pricing decisions. Ontologically, the research views pricing as a social and organisational practice embedded in the contextual setting of each hotel, rather th
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Kefela, Mehari Semere. "Determinants of Hotel Room Rates in Stockholm : A Hedonic Pricing Approach." Thesis, Södertörns högskola, Institutionen för samhällsvetenskaper, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:sh:diva-23512.

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Using Lancaster’s characteristics approach to consumer theory the study investigates the impact of a variety of characteristics on the rates charged for hotel rooms in Stockholm. In particular, it examines how a number of these characteristics explain variations in room rates between weekdays and weekends. Data for 105 observations (weekday sample) and 110 observations (weekend sample) were extracted from 49 hotels in and around the Swedish capital of Stockholm from the Internet-based hotel booking site hotels.com. Based on semilog regression analysis three models for the whole sample, weekday
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Chang, Cindy, and 張舒惠. "Impact of Room Pricing Strategy During and After Economic Crises on Hotel Total Revenue: The Case of International Hotel in Taipei City." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/99813349026318371693.

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碩士<br>輔仁大學<br>餐旅管理學系碩士班<br>101<br>Hotel revenue mainly generated by Rooms and Food & Beverage. This study used the quarterly statistics during 2006 to 2012 which provided by Taiwan Tourism Bureau, to analyzed 10 of international hotels located in Taipei City the performance before and after economic crisis to see if the hotel revenue performance had impacted by room pricing strategy. The results indicated that the hotels with higher ADR would generate higher food & beverage revenue than rooms revenue, but opposite revenue mix to the hotels with lower ADR. The Hotel ADR showed positive impac
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(9597320), Haejin Kim. "APPLICATION OF FINANCIAL MARKET MODELS IN THE HOTEL INDUSTRY." Thesis, 2020.

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<p>In this dissertation, I investigated price dynamics in the hotel room-night market and attempted to explain pricing decisions from a market perspective. Since market dynamics of the hotel room-night market can be paralleled to those in the financial market, financial market models allowed for examination of various aspects of hotel room pricing decisions.</p><p>In the first study, advance-purchase discounts were estimated through application of an option pricing model considering property-specific attributes. Non-refundable advance-purchase discounts are a commonly used rate fence. One chal
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Ying-Ru, Hsieh, and 謝盈如. "A Study of Using Grey Prediction GM (1, 1) in Forecasting Revenue Rate of Room / Food & Beverage, Operating Revenue and Profit before Tax- A Case of International Tourist Hotel in Taiwan." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/jn8w6n.

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碩士<br>大葉大學<br>休閒事業管理學系碩士班<br>104<br>The GM(1, 1) of grey system theory has been adopted in a variety of ranges, and it features forecasting through small amounts of data. This research predicts revenue rate of room / food & beverage, operating revenue, profit before tax of the international tourist hotels by using GM(1, 1) and other two kinds modified GM(1, 1), which are modified 2-years-period GM(1, 1) model and modified 3-years-period GM(1, 1) model. Among these three methods, the result of re-modified 3-years-period GM(1, 1) is the best, and the mean error of re-modified 3-years-period GM(1
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Book chapters on the topic "Hotel Room Rate Pricing"

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He, Yue, Shuangshuang Ye, Lei Ding, and Anping Wu. "Average Daily Room Rate Projections." In Site Selection and Value Evaluation of New Hotel Projects. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-0228-2_8.

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Sun, Sunny, Rob Law, Markus Schuckert, and Lawrence Hoc Nang Fong. "An Investigation of Hotel Room Reservation: What Are the Diverse Pricing Strategies Among Competing Hotels?" In Information and Communication Technologies in Tourism 2015. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-14343-9_52.

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Cavenaghi, Emanuele, Lorenzo Camaione, Paolo Minasi, Gabriele Sottocornola, Fabio Stella, and Markus Zanker. "A Re-rank Algorithm for Online Hotel Search." In Information and Communication Technologies in Tourism 2023. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-25752-0_5.

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AbstractRecommender Systems were created to support users in situations of information overload. However, users are consciously or unconsciously influenced by several factors in their decision-making. We analysed a historical dataset from a meta-search booking platform with the aim of exploring how these factors influence user choices in the context of online hotel search and booking. Specifically, we focused our study on the influence of (i) ranking position, (ii) number of reviews, (iii) average ratings and (iv) price when analysing users’ click behaviour. Our results confirmed conventional
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Kojima, Satoshi, and Kenji Asakawa. "Expectations for Carbon Pricing in Japan in the Global Climate Policy Context." In Economics, Law, and Institutions in Asia Pacific. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-6964-7_1.

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Abstract Realizing a decarbonized society in consistent with the Paris Agreement, a fundamental transformation of the entire economic and social system is needed, and not only carbon intensive sectors but also all sectors and all stakeholders including households must be decarbonized. This chapter demonstrates increasing expectations for carbon pricing in Japan in this global policy context. After the review of the global trend of carbon pricing, historical progress of carbon pricing in Japan and the existing nation-wide carbon tax, i.e. the Global Warming Countermeasure Tax, is explained. The
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Nong, Sunny Zhenzhen, and Lawrence Hoc Nang Fong. "“Better Not Let Me Know”: The Mediating Role of Regret on the Relation Between Social Comparison Discrepancy in Online Hotel Review and Revisit Intention." In Information and Communication Technologies in Tourism 2022. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-94751-4_9.

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AbstractOnline review is powerful in influencing tourists’ travel decision. However, understanding of how online reviews affect tourist emotion and decision at the post-trip stage is limited. The present study examines whether encountering travel experiences shared on social media by other users with disparity in the cost of same accommodation after a trip will cause regret and alter the intention to revisit from a retrospective point of view. Drawing from the experimental study, the result showed that regret mediates the negative effect of comparison discrepancy (in the case of differences in
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Green, Shaniqka, and Xuan Tran. "Effects of Luxury Hotel Guests’ Feedback on Average Daily Rate (ADR), Revenue Per Available Room (RevPAR), and Goodwill – An Empirical Study in Pensacola." In HCI International 2023 – Late Breaking Papers. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-48060-7_33.

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Jiang, Yaohui, Xue Fang, and Lin Lin. "The Application of Big Data Analysis and Prediction in Hotel Room Price." In Advances in Transdisciplinary Engineering. IOS Press, 2024. http://dx.doi.org/10.3233/atde240440.

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This paper presents a comprehensive study on predicting hotel room prices using big data and deep learning analysis. The hospitality industry continually faces challenges in accurately determining room rates due to various factors such as seasonality, market demand, and competitive pricing. With the emergence of big data and advancements in deep learning techniques, there is an opportunity to leverage these tools to improve price predictions and enhance revenue management strategies. An advanced one- and two-way LSTM are proposed in this work to forecast hotel room rates. The bi-LSTM layer is
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VANDERREST, J. "Room rate pricing: a resource-advantage perspective." In Accounting and Financial Management. Elsevier, 2006. http://dx.doi.org/10.1016/b978-0-7506-6729-6.50019-4.

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"Room rate pricing: a resource-advantage perspective." In Accounting and Financial Management. Routledge, 2012. http://dx.doi.org/10.4324/9780080492483-20.

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Manoharan, Geetha, Sunitha Purushottam Ashtikar, and Sanjeev Kumar. "Extenuating Digital Transformation." In Advances in Hospitality, Tourism, and the Services Industry. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-7898-4.ch012.

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Technology benefits hotel visitors by digitizing hotel management and improving tourist efficiency, revenue, and sustainability. Digital technologies customized and engaged guests. Phone check-in, keyless access, interactive in-room amenities, and AI-powered services anticipate needs, increase convenience, and create unique experiences. Brand loyalty and goodwill increase. Digital tools automate tedious operations, enhance resource allocation, and simplify procedures. Hotel efficiency, visitor pleasure, and income all improve with digital technologies. Distribution channel optimization, predic
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Conference papers on the topic "Hotel Room Rate Pricing"

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Eibl, Stefan, and Andreas Auinger. "Price Patterns in Vienna’s Hospitality: Analyzing the Impact of Ratings, Reviews, and Proximity on Hotel Rates." In 8th FEB International Scientific Conference. University of Maribor Press, 2024. http://dx.doi.org/10.18690/um.epf.5.2024.48.

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This scientific paper presents an empirical research study that aims to investigate the relationships between various factors and room rates within the context of 346 hotels in Vienna listed on booking.com. The research utilized a combination of web content mining and multiple linear regression techniques to collect and analyze data. The variables extracted from the hotel listings included customer rating valence, amount of ratings, star category, distance to town center, and room rates. The statistical analysis employed multiple linear regression to examine the links between the variables and
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Asy'ari, Vaizal, Mohamad Yusak Anshori, Teguh Herlambang, Imam Wahyudi Farid, Denis Fidita Karya, and Mukhtar Adinugroho. "Forecasting average room rate using k-nearest neighbor at Hotel S." In 2023 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation (ICAMIMIA). IEEE, 2023. http://dx.doi.org/10.1109/icamimia60881.2023.10427942.

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Ramadiani, Nurhidayat Wardani, Awang Harsa Kridalaksana, Muhammad Labib Jundillah, and Azainil. "Forecasting the Hotel Room Reservation Rate in East Kalimantan Using Double Exponential Smoothing." In 2019 Fourth International Conference on Informatics and Computing (ICIC). IEEE, 2019. http://dx.doi.org/10.1109/icic47613.2019.8985916.

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Fadly, Muhammad, Ari Yanuar Ridwan, and Mohammad Deni Akbar. "Hotel Room Price Determination Based on Dynamic Pricing Model Using Nonlinear Programming Method to Maximize Revenue." In 2019 2nd International Conference on Applied Information Technology and Innovation (ICAITI). IEEE, 2019. http://dx.doi.org/10.1109/icaiti48442.2019.8982154.

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Işık, Cem, and Nilgün Bilici. "The Analysis of Hotel Room Rates Using Hedonic Model: The Case of Erzurum." In International Conference on Eurasian Economies. Eurasian Economists Association, 2016. http://dx.doi.org/10.36880/c07.01653.

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In this study, it is aimed to analyze the relationship between the hotel room rates and its features by using hedonic price approach. In this context, the data of 26 factors of 20 hotels in Erzurum have been tested by setting log-log regression model on EViews 8 program. It has been determined that these 15 factors in 26 are significant and it has been also found that 13 factors of them (chain hotel, room size, bathroom, breakfast, LCD TV, a bar, Wi-Fi, shuttle, conference room, restaurant, night club, fitness center and fax/copier) increase the hotel room rate and two of them (location and sk
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Asadi, Ehsan, Manuel Gameiro da Silva, and Jose´ J. Costa. "Measurement and Simulation of Indoor Air Quality and CO2 Concentration in a Hotel Room." In ASME 2010 10th Biennial Conference on Engineering Systems Design and Analysis. ASMEDC, 2010. http://dx.doi.org/10.1115/esda2010-25143.

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Indoor air quality (IAQ) is nowadays universally recognized as an important issue that affects the comfort and health of people, as well as their productivity. This paper describes the relationship of indoor CO2 concentration to building air quality and ventilation, with a focus on how CO2 can be used to evaluate and predict air quality and ventilation performance, namely the infiltration airflow rate. Besides it shows the ability of ESP-r building simulation software for predicting the CO2 concentration and the air exchange rate in a building. For this purposes a room of a hotel located in th
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Beveridge, Zacary, Nathan McLaughlin, and Sarkis Kakadjian. "Managing Friction Pressures to Reduce Fuel Consumption and Emissions for a Fracturing Fleet." In SPE Hydraulic Fracturing Technology Conference and Exhibition. SPE, 2024. http://dx.doi.org/10.2118/217783-ms.

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Abstract Friction pressure has always been a limiting factor for placing water and proppant during a hydraulic fracture treatment. Mitigating friction pressure has relied heavily upon using chemicals to reduce the friction and ultimately the hydraulic horsepower required to complete the job. Costs to reduce friction pressure have always been associated with the type and amount of friction reducer (FR) used. Best practices being associated with using as little as necessary to achieve the treatment. On the contrary, utilizing the minimum amount of FR can increase overall costs for treatment due
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