Harnessing the Power of Geospatial Analytics in CARTO for Strategic Hotel Site Selection in Madrid
The beauty of CARTO is that we meet the users where they are in their spatial analysis journey. From advanced spatial capabilities to simple mapping tools to visualize, analyze & share in a matter of minutes. To accelerate your spatial app development efforts, you can use CARTO embedded capabilities inside low-code tools like this one created in Slides.com. In this story map, we will harness the power of geospatial analytics to uncover insights for strategic hotel site selection in Madrid.
A presentation made by Gerardo Ezequiel Martín Carreño
Client: NH Hotel Group, based in Madrid, traditionally focused on serving business and corporate travelers seeks to cater to the rising demand for cultural tourism.
Target Demographic: The new hotel aims to serve mid-high income tourists aged 40-69 who appreciate Madrid's vibrant culture.
Proposed Solution: NH Hotel Group plans to provide luxury accommodations with local cultural experiences in easily accessible locations.
Strategic Location: A central location is key to enhancing guest experiences and meeting the rising trend of combining business and leisure travel.
Market Demand: Madrid's tourism market primarily demands cultural and business tourism offerings.
Sustainable Positioning: NH Hotel Group prioritises sustainability, with the new hotel ideally situated within walking distance from major tourist attractions.
Objective: The company aims to use geospatial data analysis to identify an ideal location and enhance guest experiences
Data Collection and Processing
Accessibility & Proximity
Spatial Index Enrichment
Hotel Optimal Location Analysis
Competitors Proximity Analysis
Optimizing Hotel Site Selection: Choosing the Ideal Buildings
MAP 1 OF 6
By leveraging these datasets and applying thorough preprocessing techniques, we are able to extract meaningful insights and visualise the data on an interactive map. This visualisation provide a comprehensive understanding of pedestrian traffic patterns and their relationship with tourist accommodations and points of interest in Madrid. Such insights enable informed decision-making for hotel site selection and strategic planning in the city.
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Ensuring convenient access to key attractions is essential for the success of hotels. In this section, we explore NH Hotels Group's in-depth accessibility analysis in Madrid. By examining isochrone intersections and proximity to existing NH Hotels Group locations, NH Hotels Group gained valuable insights for strategic hotel site selection. Let's dive into the findings of this analysis.
By leveraging the insights from our accessibility analysis, including the isochrone intersection analysis and proximity analysis, NH Hotels Group can make informed decisions regarding the selection of hotel sites. Our strategic approach ensures that our hotels are conveniently located near key attractions and that we maintain a balanced and competitive presence in Madrid's hospitality industry.
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Spatial Index Enrichment plays a crucial role in the decision-making process of NH Hotels Group for hotel site selection in Madrid. By leveraging the H3 spatial indexing system and incorporating various variables, NH Hotels Group gains valuable insights into pedestrian activity, accessibility to attractions, and the distribution of accommodations. This allows them to strategically position their hotels, enhance customer satisfaction, and drive business growth.
Spatial index enrichment enables NH Hotels Group to:
The H3 spatial indexing system offers:
The utilization of spatial indexes provides NH Hotels Group with valuable insights for decision-making and hotel site selection in Madrid. The H3 system offers efficient computation and statistical insights, enabling a detailed understanding of spatial dynamics. This information empowers NH Hotels Group to strategically position their hotels, optimize accessibility to attractions, and achieve their business objectives in Madrid's tourism landscape.
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Geographically Weighted Regression (GWR) is a powerful analytical technique used in our analysis to identify ideal hotel sites in Madrid. By considering spatial heterogeneity and capturing localized impacts, GWR helps us understand the spatial correlations between variables and their influence on the suitability of hotel locations.
Geographically Weighted Regression (GWR) play a critical role in our analysis of ideal hotel sites in Madrid. By considering spatial heterogeneity and capturing localized impacts, GWR provide valuable insights into the relationships between variables and their influence on the suitability of hotel locations. This information empowers NH Hotels Group to make more informed decisions in site selection, aligning with their target audience and preferences.
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Our analysis incorporates the use of Composite Scores and Hotspot Detection techniques to identify ideal hotel sites in Madrid. These methodologies allow us to evaluate the relative importance of different factors and pinpoint areas with a higher potential for success.
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Geographic proximity and competition analysis are essential for NH Hotels Group to make informed decisions about site selection and market positioning. Two key methodologies used in this analysis are Local Outlier Factor (LOF) and K-nearest neighbors (KNN). Here are the most relevant points for each:
In conclusion, the Local Outlier Factor (LOF) and K-nearest neighbors (KNN) analyses provide NH Hotels Group with valuable insights into the competitive landscape and spatial distribution of hotels in Madrid. By leveraging these methodologies, NH Hotels Group can strategically allocate resources, identify areas of high competition, and make informed decisions about site selection and market positioning. These analyses contribute to NH Hotels Group's ability to optimize their hotel portfolio, minimize cannibalization, and enhance their long-term success and profitability in the competitive hotel industry.
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Visualizing potential hotel locations is a crucial step in NH Hotels Group's site selection process. It provides a clear understanding of the spatial distribution and market dynamics in Madrid.
Visualizing potential hotel locations empowers NH Hotels Group to enhance their site selection process, pursue opportunities aligned with their objectives, and maximize their competitive advantage in Madrid's dynamic hotel market. It ensures informed decisions, a strong market presence, and long-term success in the competitive hotel industry.
Optimizing Location Selection
Enhancing Customer Satisfaction
Gaining a Competitive Advantage
Ensuring Long-term Success
The geospatial analysis conducted offers NH Hotels Group valuable insights for optimal site selection, market positioning, and sustainability practices in Madrid's competitive hotel industry.
Gerardo Ezequiel Martín Carreño
Urban Sustainability expert
Full-stack Spatial Data Scientist