碩士 / 中原大學 / 土木工程研究所 / 100 / Most of earlier mode choice researches have predominantly focused on weekday activity and travel. However, with the development of society and economy, leisure life has become increasingly rich urban residents. Weekend travel has been increasing over time. Recently, as the rise of urban popular culture and leisure, concert participation has become one of the weekend leisure activities. More than ten thousands of audiences congregate in the venue at a scheduled time. A concert activity is regarded as a planned special event (PSE). A large concert frequently causes congestion and unexpected delays to travelers. Thus public agencies must apply proven traffic management techniques to mitigate any possible adverse impacts that may result from this event. The first job of making a traffic incident management plan is to predicate the travel demand of event participators. However, research in this area is sparse. More detailed research is needed. Taking a concert event as an example, our study investigates PSE participators’ behaviors of mode choice.
Taipei Arena has been chosen for the case study because it is a popular concert venue in North Taiwan. Frequently used alternative modes of travel are motorcycle, car, MRT and bus. By a personal interview survey, we have 1008 respondents. In this study, multinomial logit models and nested logit models using mixed stated preference and revealed preference information are estimated to explore the travel demand of concert participates at Taipei Arena. Generic variables of these logit models are the travel time and the travel cost. Without considering revealed-preference based departure/arrival time data, the results show that significant explanatory variables include gender, age, total number of motorcycles being owned by the households, trip origin, expected time of arrival and intercity travel mode. With considering revealed-preference based departure/arrival time data, the results show that significant explanatory variables of the multinomial logit models are gender, age, total number of motorcycles being owned by the households, indirect trip, trip experience, trip origin, seniority in fans, expected time of arrival and trip type. Obviously, the latter models are better than the former models in identifying the factors that influence travel mode choices for demonstrating characteristics of recreational trips. In addition, we perform elastic analysis and sensitivity analysis, it is found that to decrease transit travel time or transit travel cost, and to increase travel time of private vehicles will promote event participators to use public transit. The transfer effect of decreasing transit travel time is the most powerful.
| Identifer | oai:union.ndltd.org:TW/100CYCU5015040 |
| Date | January 2012 |
| Creators | Pei-Jung Lu, 呂佩容 |
| Contributors | Mei-Shiang Chang, 張美香 |
| Source Sets | National Digital Library of Theses and Dissertations in Taiwan |
| Language | zh-TW |
| Detected Language | English |
| Type | 學位論文 ; thesis |
| Format | 120 |
Page generated in 0.0015 seconds