Identification of common city characteristics influencing room occupancy

Moro, Sérgio; Rita, Paulo

doi:10.1108/ijtc-08-2018-0063

Cited by 4 publications

(2 citation statements)

References 42 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Penelitian ini menggunakan analisis deskriftif untuk melihat tingkat penghunian kamar salah satu hotel yang ada di Bali. Penelitian Moro & Rita (2019) dengan menggunakan CART terhadap 43 kota di Uni Eropa menyimpulkan bahwa tingkat hunian kamar merupakan salah satu metrik kinerja hotel paling menonjol yang digunakan oleh industri pariwisata, perhatian pemerintah dan tumbuhnya sektor pariwisata disuatu wilayah akan meningkatkan tingkat hunian kamar hotel. Penelitian Pramono (2021) dengan menggunakan regresi data panel terhadap kedatangan wisata di 4 provinsi di Jawa menyimpulkan bahwa pengeluaran pemerintah melalui pembangunan infrastruktur mampu mendorong kegiatan pariwisata, mampu meningkatkan jumlah wisatawan yang pada akhirnya meningkatkan tingkat hunian kamar.…”

Section: Pengaruh Pariwisata Terhadap Tingkat Penghunian Kamarunclassified

Complete Covid-19 Vaccination and Room Occupation Rates Nexus Tourism in East Java

Muslim

Aprianto

2023

EJAVEC

View full text Add to dashboard Cite

The purpose of this study is to examine the effect of complete vaccination up to the second dose on the mobility of the population to recreational and retail areas that describe tourism activities, to examine the effect of population mobility to recreational and retail areas on the occupancy rate of hotel rooms and to examine the factors that influence the level of high and low the rating value of a hotel or other accommodation service that describes the level of satisfaction with hotel services in East Java. Inferential statistical methods used are time series analysis with ARIMAX, Pearson Correlation Analysis and Ridge Regression Analysis. The data used is a combination of Big Data and Official Statistics. Big Data is obtained from scrapping results in Google Mobility Index (GMI), the Ministry of Health of the Republic of Indonesia, and www.tiket.com as well as official statistics sourced from the Central Boards of Statistics Indonesia (BPS). Based on the results of ARIMAX, it can be concluded that complete vaccination up to the second dose affects the mobility of the population to recreational and retail areas that indicate tourism activities, then based on the results of the Pearson correlation, it can be concluded that there is a strong and positive correlation between the mobility of residents to recreational areas and room occupancy rates hotels in East Java and based on the Ridge Regression analysis, it can be concluded that there is a positive influence of price appropriateness, cleanliness, service, facilities, and location on consumer ratings that describe the level of satisfaction with hotel services in East Java and the dimension that has the most influence on the level of hotel satisfaction in East Java is price appropriateness

show abstract

Section: Pengaruh Pariwisata Terhadap Tingkat Penghunian Kamarunclassified

Complete Covid-19 Vaccination and Room Occupation Rates Nexus Tourism in East Java

Muslim

Aprianto

2023

EJAVEC

View full text Add to dashboard Cite

show abstract

“…Similarly, models developed for pricing incorporate some notion of external conditions, e.g. weather or politics [20] and hotel characteristics like location and star rating [21]. The approach proposed in [22] is worth to mention as the authors use not only nonlinear model but also employ automatic feature selection to introduce additional variables.…”

Section: Related Workmentioning

confidence: 99%

Improving Time-Series Demand Modeling in Hospitality Business by Analytics of Public Event Datasets

Кamola

Arabas

2020

IEEE Access

View full text Add to dashboard Cite

Forecasting occupancy in hospitality business with autoregressive time-series models does not intercept occasional impact of public events. Our goal was to find appropriate datasets and enrich existing predictive models to account for rare and explicable demand surges. The paper proposes processing framework: data source types and formats, and forecast algorithms based on natural language processing. The study shows that classical models using word collocations outperform state of the art deep neural networks. Also, the collocations that turn out to be important, occupy certain locations in a graph that represents the natural language. The findings may result in yet improved forecasts, leading to smarter offer pricing and, finally, increased competitiveness in hospitality business. They may also serve public interest in areas like parking management or public transport planning. INDEX TERMS Time series analysis, recurrent neural networks, regression analysis, natural language processing, predictive models.

show abstract

The impact of the Web Summit on hotel performance, the case of Lisbon

Bento

Almeida

Jiménez-Caballero

2021

J Revenue Pricing Manag

View full text Add to dashboard Cite

Dynamic pricing is a response to fluctuations in demand for a product or service making it possible for hospitality companies to have a better performance. Demand generators such as events have a heavy impact in hospitality performance because they create demand that otherwise would not occur. Portugal has seen an exponential growth in tourism in the past years and major events play an important role in investment decisions, both private and governmental. The Web Summit is an annual technology event held in November. Lisbon has been the chosen city for the past three years, 2019 making it the fourth.Literature has focused its attention mostly on the impact of cultural or sports events, such as the Olympics, revealing positive long-term impacts on performance. It is fundamental to understand what the exact impact of these type of events -business fairs -have in the local economy in order to justify investments.Methodology: daily data collected from STR allow for a comparative study between hotel performance before and after the Web Summit. We compare the 3 years prior to the event and the last three years of the event, taking place in Lisbon. The sample size is 63 hospitality companies that range from Economy to Upper Midscale Class and data of ARD, RevPAR and Occupancy.Results show that on the dates of the event ADR and RevPAR increase 115% and occupancy 21% when compared to the previous year. However, on the third year of the event, 2018, these numbers do not see the same increase and remain somewhat similar to the previous year, 2017. This shows that there is major impact on hotel performance justifying the interest governments and other tourism agencies have in attracting these types of events.

show abstract

Identification of common city characteristics influencing room occupancy

Cited by 4 publications

References 42 publications

Complete Covid-19 Vaccination and Room Occupation Rates Nexus Tourism in East Java

Complete Covid-19 Vaccination and Room Occupation Rates Nexus Tourism in East Java

Improving Time-Series Demand Modeling in Hospitality Business by Analytics of Public Event Datasets

The impact of the Web Summit on hotel performance, the case of Lisbon

Contact Info

Product

Resources

About