Special Events Planning, 2010

The Iowa Department of Transportation (Iowa DOT) Special Events Planning (SEP) document is a collection of Special Event Management Strategic Plans for individual events throughout the state of Iowa. The development of the SEP document focused on improving travel, safety and efficiency to and from Iowa’s largest traffic generating events through the review of event specific traffic management components. Initially, three events were selected from the state of Iowa for inclusion in the SEP document. As Strategic Plans are developed for additional events, those events will be included in the SEP document. The three initial events that are included in this SEP are: • Iowa State Fair; • Iowa State University Home Football Games; • University of Iowa Home Football Games. The Strategic Plan for each event documents existing transportation conditions for the event based on field observations, highlights positive existing practices and issues for consideration, and provides recommendations, both short and long term, to be considered as potential improvements to event operations. The objective of each Strategic Plan was, at a high-level, to analyze traffic and pedestrian flow at each event and to work with event staff, agencies and others in developing roadway, operations and safety improvements where appropriate. The SEP document is intended to be a “living” document with updates to the Strategic Plans occurring as warranted and additional Strategic Plans being incorporated for other events. The enacting of recommendations contained within each Strategic Plan is not a mandate for the responsible agency for a particular event. The Strategic Plans are intended to provide a basis for discussion between the Iowa DOT and agencies involved in the planning and implementation of transportation operations for large traffic events regarding opportunities to improve the event patron’s experience.

Using special events to motivate visitors to attend art galleries

The contemporary directions of art galleries worldwide are changing as social patterns and demands, as well as visitor expectations of their experiences at art galleries, change. New programs and strategies are being developed in galleries to make these institutions more appealing to people who would not normally visit them, and one such strategy is the staging of special events. However, because galleries are staging an increasing number of special events, the factors motivating visitors to attend these institutions are changing. Visitors hope to have different experiences and encounters in the gallery during special events. This paper presents the findings from a study in Australia about visitors’ motivations to attend special events in galleries. It highlights the different factors that motivate visitors to attend the gallery specifically for a special event in comparison to visiting the gallery's permanent collections.

Application of intervention analysis to evaluate the impacts of special events on freeways

In China in particular, large, planned special events (e.g., the Olympic Games, etc.) are viewed as great opportunities for economic development. Large numbers of visitors from other countries and provinces may be expected to attend such events, bringing in significant tourism dollars. However, as a direct result of such events, the transportation system is likely to face great challenges as travel demand increases beyond its original design capacity. Special events in central business districts (CBD) in particular will further exacerbate traffic congestion on surrounding freeway segments near event locations. To manage the transportation system, it is necessary to plan and prepare for such special events, which requires prediction of traffic conditions during the events. This dissertation presents a set of novel prototype models to forecast traffic volumes along freeway segments during special events. Almost all research to date has focused solely on traffic management techniques under special event conditions. These studies, at most, provided a qualitative analysis and there was a lack of an easy-to-implement method for quantitative analyses. This dissertation presents a systematic approach, based separately on univariate time series model with intervention analysis and multivariate time series model with intervention analysis for forecasting traffic volumes on freeway segments near an event location. A case study was carried out, which involved analyzing and modelling the historical time series data collected from loop-detector traffic monitoring stations on the Second and Third Ring Roads near Beijing Workers Stadium. The proposed time series models, with expected intervention, are found to provide reasonably accurate forecasts of traffic pattern changes efficiently. They may be used to support transportation planning and management for special events.

Application of Intervention Analysis to Evaluate the Impacts of Special Events on Freeways

In China in particular, large, planned special events (e.g., the Olympic Games, etc.) are viewed as great opportunities for economic development. Large numbers of visitors from other countries and provinces may be expected to attend such events, bringing in significant tourism dollars. However, as a direct result of such events, the transportation system is likely to face great challenges as travel demand increases beyond its original design capacity. Special events in central business districts (CBD) in particular will further exacerbate traffic congestion on surrounding freeway segments near event locations. To manage the transportation system, it is necessary to plan and prepare for such special events, which requires prediction of traffic conditions during the events. This dissertation presents a set of novel prototype models to forecast traffic volumes along freeway segments during special events. Almost all research to date has focused solely on traffic management techniques under special event conditions. These studies, at most, provided a qualitative analysis and there was a lack of an easy-to-implement method for quantitative analyses. This dissertation presents a systematic approach, based separately on univariate time series model with intervention analysis and multivariate time series model with intervention analysis for forecasting traffic volumes on freeway segments near an event location. A case study was carried out, which involved analyzing and modelling the historical time series data collected from loop-detector traffic monitoring stations on the Second and Third Ring Roads near Beijing Workers Stadium. The proposed time series models, with expected intervention, are found to provide reasonably accurate forecasts of traffic pattern changes efficiently. They may be used to support transportation planning and management for special events.

Cultural events and tourist development in Catalonia (Spain)

From the point of view of local development cultural tourism events represent an opportunity since they are distributed homogeneously by the Catalan territory and are experiencing a vertiginous growth as a way to differentiate the existing supply. In our study a sample of 264 telephone surveys made to organizers of events in Catalonia has been compiled, with the purpose of characterizing the existing supply, thematic typologies, management models, commercialization inputs and economic impact. The results allow us to characterize events from the point of view of their tourist potential. Finally some recommendations are set out to develop future tourism policies based on events according to product differentiation, seasonality, competitiveness and creativity.

Cultural events as tourism supply in coastal Catalan resorts

During the last three decades, the number of tourism events has been growing in Catalan coastal resorts because of the recover of Catalan cultural traditions, festivals and folklore, and also because of tourism growth. Catalan tourism resorts use events as catalysers for new supply and as a mean to differentiate and singularize themselves from their competitors. The tourism potential of cultural events is undeniable but there are some problems that prevent a more effective impact as economic and regional development agents. This paper reflects some discussions and conclusions obtained from the analysis of 264 valid responses of a survey made to different Catalan event organizers in 2008 and 2009. We describe and characterize cultural event supply in coastal resorts in order to study the events tourism importance, their capacity to generate and spread economic development, and their managerial model. The analysis is made in a geographical basis, comparing the results of the territorial organization of events of the city of Barcelona, coastal and inland municipalities. Finally some considerations about event regional tourism policy and tourism development are discussed.

Special events & twilight parade, premium book /

Title from cover.

A Smartphone-Based Prototype System for Incident/Work Zone Management Driven by Crowd-Sourced Data, 2015

This project develops a smartphone-based prototype system that supplements the 511 system to improve its dynamic traffic routing service to state highway users under non-recurrent congestion. This system will save considerable time to provide crucial traffic information and en-route assistance to travelers for them to avoid being trapped in traffic congestion due to accidents, work zones, hazards, or special events. It also creates a feedback loop between travelers and responsible agencies that enable the state to effectively collect, fuse, and analyze crowd-sourced data for next-gen transportation planning and management. This project can result in substantial economic savings (e.g. less traffic congestion, reduced fuel wastage and emissions) and safety benefits for the freight industry and society due to better dissemination of real-time traffic information by highway users. Such benefits will increase significantly in future with the expected increase in freight traffic on the network. The proposed system also has the flexibility to be integrated with various transportation management modules to assist state agencies to improve transportation services and daily operations.

Pla de màrqueting: Festivals and Events

La màster tesi consisteix en la creació i desenvolupament del pla de màrqueting del nou producte de Lloret Turisme i el Lloret Convention Bureau, el “Festivals & Events”. A la primera part del treball es fa una presentació de la metodologia seguida, de la presentació del cas, amb l’anàlisi de l’estat de la qüestió i la presentació de l’àmbit d’estudi. Seguidament es procedeix a desenvolupar el cos del treball, és a dir, les diferents parts del pla de màrqueting, així com el desenvolupament de la matriu de la base de dades pel nou producte “Festivals & Events” del Lloret Convention Bureau de Lloret de Mar

Kysynnän ennustaminen leipomotuotteille ja ennusteen tarkkuuden arviointi

Tässä diplomityössä tutkittiin kysynnän ennustamista Vaasan & Vaasan Oy:n tuotteille. Ensin työssä perehdyttiin ennustamiseen ja sen tarjoamiin mahdollisuuksiin yrityksessä. Erityisesti kysynnän ennustamisesta saatavat hyödyt käytiin läpi. Kysynnän ennustamisesta haettiin ratkaisua erityisesti ongelmiin työvuorosuunnittelussa.Työssä perehdyttiin ennustemenetelmiin liittyvään kirjallisuuteen, jonka oppien perusteella tehtiin koe-ennustuksia yrityksen kysynnän historiadatan avulla. Koe-ennustuksia tehtiin kuudelle eri Turun leipomon koe-tuotteelle. Ennustettavana aikavälinä oli kahden viikon päiväkohtainen kysyntä. Tämän aikavälin erityisesti peruskysynnälle etsittiin ennustetarkkuudeltaan parasta kvantitatiivista ennustemenetelmää. Koe-ennustuksia tehtiin liukuvilla keskiarvoilla, klassisella aikasarja-analyysillä, eksponentiaalisen tasoituksen menetelmällä, Holtin lineaarisella eksponenttitasoituksen menetelmällä, Wintersin kausittaisella eksponentiaalisella tasoituksella, autoregressiivisillä malleilla, Box-Jenkinsin menetelmällä ja regressioanalyysillä. Myös neuroverkon opettamista historiadatalla ja käyttämistä ongelman ratkaisun apuna kokeiltiin.Koe-ennustuksien tulosten perusteella ennustemenetelmien toimintaa analysoitiin jatkokehitystä varten. Ennustetarkkuuden lisäksi arvioitiin mallin yksinkertaisuutta, helppokäyttöisyyttä ja sopivuutta yrityksen monien tuotteiden ennustamiseen. Myös kausivaihteluihin, trendeihin ja erikoispäiviin kiinnitettiin huomiota. Ennustetarkkuuden huomattiin parantuvan selvästi peruskysyntää ennustettaessa, jos ensin historiadata esikäsittelemällä puhdistettiin erikoispäivistä ja –viikoista.