Purpose The purpose of this paper is to review recent studies published from 2007 to 2015
on tourism and hotel demand modeling and forecasting with a view to identifying the …

Although a consensus exists in the literature regarding the operationalization of the affective
component of destination image, interestingly there is no agreement on the …

As the volatility of electricity demand increases owing to climate change and electrification,
the importance of accurate peak load forecasting is increasing. Traditional peak load …

A novel approach based on long short-term memory (LSTM) networks that can incorporate
multivariate time series data, including historical tourism volume data, search engine data …

Hospitality constituencies need accurate forecasting of future performance of hotels in
specific destinations to benchmark their properties and better optimize operations. As …

Tourism is largely dependent on climate and weather, and thus climatic attributes are
expected to alter decisions of tourists. Utilising transaction data from a leading online travel …

The summer tourism market in Austria builds significantly on the country's opportunities for
outdoor recreation such as mountaineering, mountain biking or water sports. This paper …

While recent studies have demonstrated that events are fundamentally climate sensitive, this
seems to not be fully considered in event research or corporate event practice. Thus, this …

Cam** is a nature-based tourism activity where individuals spend one or more night away
from home in an outdoor setting. Inherent in the definition are time and space, as well as …

The prediction of tourist numbers is important for Destination Management and Marketing.
While most existing methods rely on well-structured statistical data, using web search …