Event Management

This paper presents a forecasting model designed using WSNs( Wireless Sensor Networks) to predict flood
in rivers using simple and fast calculations to provide real-time results and save the lives of people who
may be affected by the flood. Our prediction model uses multiple variable robust linear regression which is
easy to understand and simple and cost effective in implementation, is speed efficient, but has low resource
utilization and yet provides real time predictions with reliable accuracy, thus having features which are
desirable in any real world algorithm. Our prediction model is independent of the number of parameters,
i.e. any number of parameters may be added or removed based on the on-site requirements. When the
water level rises, we represent it using a polynomial whose nature is used to determine if the water level
may exceed the flood line in the near future. We compare our work with a contemporary algorithm to
demonstrate our improvements over it. Then we present our simulation results for the predicted water level
compared to the actual water level.

This paper presents the participation and collaboration of students, teachers and stakeholders in the organization and dissemination of a technological event. After fundamental concepts concerning the organization of events, social networks and cognitive aspects, we present the experience up to date and the results obtained. To evaluate the results, we consider the past eleven editions and all values are up to that related on previous organizations. This point demonstrates the feasibility and importance of the adopted approach.

The hope of livelihood enhancement for the mountain dwellers has been a climacteric and novel effort by many international and national organizations lately. Community based tourism development in these rural hinterlands is one of those efforts by many organizations and agencies. However, these developmental initiatives in the name of tourism remain in black and white. The very work through this piece of research has highlighted the ongoing developmental discourse of tourism in Chakrata region of Uttarakhand in India. Issues pertaining to infrastructure, policy, and community preparedness are top in the fray. The research has synthesized the core constraints and challenges the Himalayan region has been confronting. In the same time the results have provided some feasible strategies to make tourism development ideal in the region.

The decision of visitors to attend an event is influenced by an array of aspects. Two major aspects that greatly contribute towards the latter are that of 1) visitor experience, and 2) visitor satisfaction. Although research shows that there is a relationship among the number of visitations, visitor experience and visitor satisfaction, no research exists on how these phenomena relate to one another in a horseracing event dispensation. In core, horseracing events date back to Ancient Greek and Roman times, and its visitors are generally believed to be repeat visitors. To this end, this study aimed to theoretically investigate the relationship among event visitations, event visitor experience and event visitor satisfaction in a horseracing dispensation. This non-empirical study was exploratory in nature and took on the form of an online desktop review. From the research conducted, 18 hypotheses were developed for further empirical testing.

The purpose of this study is to extend previous research on organisational issues of sport mega-events through the development of a framework for the Olympic Games. A three-step approach was taken. Firstly, a systematic literature review was conducted based on journal articles, academic books and official reports published by the  International Olympic Committee (IOC) and Olympic Games Organising Committees (OGOC). Secondly, the issues identified within the media regarding the 2016 Olympic Games were analysed. Lastly, semi-structured interviews were conducted with ten stakeholders to further examine the organisational issues of the 2016 Rio Olympic Games. A new extended conceptual framework of organisational issues associated with the Olympic Games is then proposed. Issue categories faced by the organising committee include politics, marketing, media and visibility, financial, planning, negotiation and ethics, operations, infrastructure, human resources, social, environmental and legacy. These 12 dimensions of organisational issues account for a total of 76 specific issues. The paper provides critical information to aid the IOC and OGOCs in understanding organisational issues that may arise in future of Olympic Games.

Purpose
This article explores the effects generated by the Milan World Expo 2015 on both firm performance and seasonality structure. It aims to answer the following research question: Did the Milan Expo 2015 influence only hotel results without changing seasonal patterns, or was this mega event able to reconfigure seasonal periods?

Methodology
The present analysis is based on Smith Travel Research (STR) data. This source offers daily data on a large sample of Milan hotels (approximately 80 percent of the total), representing more than 30,000 rooms. The empirical data relates to a period of 12 years, 11 of which are focused on the pre-event period (2004–2014), while 2015 is centered on the Milan Expo. This data comprises 4,383 daily observations. For each day, three operating measures were analyzed: occupancy, average daily rate (ADR), and revenue per available room (RevPAR).

Findings
The empirical findings fully support the first hypothesis: the four seasonal periods built around the main market segments are relevant lenses for understanding Milan’s demand structure before Expo 2015. The findings also support the second hypothesis relating to the effects generated by the event: Expo 2015 was able to improve hotel performance during the four seasonal periods analyzed. The most fragile seasonality registered the highest rise. Finally, the last two hypotheses to be investigated are as follows: did the Milan Expo 2015 simply improve hotel performance, without changing the underlying seasonal patterns (hypothesis 3), or did this event reconfigure the demand structure (hypothesis 4)? The analyses carried out lend more support to the fourth hypothesis, suggesting that new seasonal patterns emerged during Expo 2015.

Originality
This paper explores the impact of a mega event on seasonal patterns of hotel performance metrics. At least three original aspects are introduced. Firstly, to analyze the Milan demand variation, a market segment approach that proposes an innovative seasonal matrix is developed. This is based on the three main client groups attracted by the destination. Secondly, the effects generated by the Expo are measured with consideration given to the four seasonal periods. Thirdly, based on graphical and statistical analysis, the paper confirms that new seasonal patterns emerged during the Expo.