Evaluating Transportation Preferences for Special Events: A Case Study for a Megacity, Istanbul

Shakibaei, Shahin; Tezcan, Hüseyin Onur; Kemal, Öğüt Selçuk

doi:10.1016/j.sbspro.2014.01.042

Cited by 7 publications

(7 citation statements)

References 4 publications

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“…In the literature, PSE models generally consider only the main activity and travel demand from other zones to the event venues is solely forecasted [7][8][9][10], except very rare studies [11]. Moreover, PSE is analyzed by traffic management in some studies [1,[12][13][14][15] and spectator (customer) satisfaction point of view in others [16].…”

Section: Literature Reviewmentioning

confidence: 99%

“…In another study, with various event scenarios, a mesosccopic traffic assignment tool is designed to examine participants' behavior during planned special events for mode and departure time choices [29]. Shakibaei et al [9] tried to get to the bottom of estimation of mode choice preferences by conducting revealed preference surveys. Kuppam et al [7] discussed from all aspects of the data gathering to the four-step trip-based model building of planned special event travel demand in the Phoenix metropolitan region.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Chang and Lu [30] used the Multinomial Logit Model (MNL) to research concertgoers' behavior in terms of mode and arrival time choices. Consequently, as detailed above, even though in PSE field microscopic [26][27][28], mesoscopic [14,29], or macroscopic [9,30,31] analyses were undertaken, jointly modelling of "mode and time", "mode and destination" or "time and destination" studies are very rare in the literature. Therefore, it can be argued that there is a gap in the literature about this aspect of PSEs that is needed to be explored bu using various modelling approaches.…”

Section: Literature Reviewmentioning

confidence: 99%

See 2 more Smart Citations

Joint Logit Model Approach to Analyze Soccer Spectators’ Arrival Time and Location Preferences for Interim Activities in Istanbul

2022

IJE

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Planned Special Event (PSE) is a public activity that has a defined location and time and has an influence on transportation system operations as a consequence of increases in travel demand or decreases in road capacity. Apart from the event itself, PSEs might generate additional activities based on location, time and duration of the event, and individual preferences. This paper focuses on the interim activities of soccer spectators in Istanbul. This paper is motivated by the mostly disregarded but significantly important demand for these activities by jointly analyzing the arrival time and location preferences for the interim activities carried out before the main activity. For this aim, a joint logit model capturing the factors influencing the arrival time and location choice collectively within the PSE circumstances is estimated. In this estimation, each trip and behavior of spectator groups are modeled separately. According to the results of the models, one significant and interesting finding is the behavioral differences of supporters of different teams which is mostly influenced by the activity opportunities present in the surrounding of the venues. Last motorized trips of the Besiktas and Fenerbahce's spectators end at the sub-centers in general, while the spectators of the Galatasaray prefer the stadium as their final destination. Moreover, league matches being on weekdays or weekends does not have a statistically significant effect on the choice of arrival time and location of the spectators. The findings provide useful information that might assist event organizers and decision-makers especially in planning special events.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

See 1 more Smart Citation

Joint Logit Model Approach to Analyze Soccer Spectators’ Arrival Time and Location Preferences for Interim Activities in Istanbul

2022

IJE

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“…The research of [10] is included in the first framework class. They implemented an analysis of surveys conducted at three Turkish stadiums in advance and after matches, for the estimation of a binary logit model of mode choice (private car or public transport).…”

Section: Demand Prediction For Special Eventsmentioning

confidence: 99%

Predicting taxi demand hotspots using automated Internet Search Queries

Markou¹,

Kaiser

Pereira³

2019

Transportation Research Part C: Emerging Technologies

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Disruptions due to special events are a well-known challenge in transport operations, since the transport system is typically designed for habitual demand. Part of the problem relates to the difficulty in collecting comprehensive and reliable information early enough to prepare mitigation measures.A tool that automatically scans the internet for events and predicts their impact would strongly support transport management in many cities in the world. This study addresses the challenges related to retrieving and analyzing web documents about real world events, and using them for demand explanation (if related to a past event) and prediction (if a future one).Transport demand is predicted with a supervised topic modeling algorithm by utilizing information about social events retrieved using various strategies, which made use of search aggregation, natural language processing, and query expansion. It was found that a two-step process produced the highest accuracy for transport demand prediction, where different (but related) queries are used to retrieve an initial set of documents, and then, based on these documents, a final query is constructed that obtains the set of predictive documents. These are then used to model the most discriminating topics related to the transport demand. A framework was proposed that sequentially handles all stages of data gathering, enrichment, and prediction with the intention of generating automated search queries.

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“…In addition to modeling the travel demand, Wong and Yu (2011) investigated the origin-destination pattern of trips to and from a special event held in Macau. Chang and Lu (2013), Shahin et al (2014), and Pereira et al (2015) investigated participants' choice of transport mode to various special events. Duives et al (2013) introduced crowd motion simulation models for high-density crowd movements.…”

Section: Literature Reviewmentioning

confidence: 99%

Mixed logit approach to modelling arrival time choice behaviour of cemetery and columbarium visitors during grave-sweeping festivals

Szeto

Wong

Yeung

et al. 2016

Transportmetrica A: Transport Science

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Special events attract extraordinarily high travel demands over a relatively short time. Managing the travel demand for special events is more difficult than for normal commuting trips. Grave-sweeping is a special event that is popular in Asia, especially in Chinese societies. In Hong Kong, many people visit cemeteries and columbaria around the two traditional festivals, causing overcrowding at the sites and congestion on the access roads. To mitigate the adverse traffic effects, the police usually implement temporary traffic management measures to control the number of visitors accessing the sites. However, these measures often ignore visitors' arrival time preferences and hence their effectiveness is questionable. This study models and analyzes the arrival time preferences of cemetery and columbarium visitors under various transport mode scenarios. The model development is based on 3,128 choice decisions collected from 782 respondents. A mixed logit model is calibrated to investigate the potential taste heterogeneity of the respondents, and a likelihood ratio test demonstrates that the model is superior to a standard multinomial logit model and provides a better fit to the survey data. The model results indicate that in-vehicle travel time, total waiting and walking time, and the provision and travel fare of feeder services are significant factors influencing cemetery and columbarium visitors' arrival time choices. The effects of socioeconomic factors are also examined and discussed. Based on the model results, recommendations are provided for managing the travel demand to cemeteries and columbaria at peak and off-peak hours on or around festival days.

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Evaluating Transportation Preferences for Special Events: A Case Study for a Megacity, Istanbul

Cited by 7 publications

References 4 publications

Joint Logit Model Approach to Analyze Soccer Spectators’ Arrival Time and Location Preferences for Interim Activities in Istanbul

Joint Logit Model Approach to Analyze Soccer Spectators’ Arrival Time and Location Preferences for Interim Activities in Istanbul

Predicting taxi demand hotspots using automated Internet Search Queries

Mixed logit approach to modelling arrival time choice behaviour of cemetery and columbarium visitors during grave-sweeping festivals

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