Spatial patterns of hotel’s occupation rate

Abstract

In Balikpapan the growth in the number of hotels increased significantly over the past 10 years but the income earned from this sector has tended to decline. Currently, it is found that hotel development growth becomes imbalance due to overcapacity and only exist in several regions. This study aims to identify hotel distribution patterns and hotel location clustering analysis based on the occupancy rate conducted in two stages using the Average Nearest Neighbor (ANN) and hot spot analysis method. In overview, hotels in Balikpapan, both star hotel and non-star hotel, significantly clustered spatially around the centers of urban activities. This grouping is not linear with the occupancy rate distribution pattern. The occupancy rate pattern of star hotels shows a spatially clustered structure with z-score to 2.69 (most significant). Conversely, the occupancy rate of non-star hotels has a random pattern with a z-score is closest to 0 (not significant). However, in general, the constructed hotels in an area which has high accessibility and closes to urban centers is the hot spot point for significant high occupancy rates.