Zhang Zheng, Wen Jiancheng, Wang Lixun, Sui Liying
{"title":"Study on the influencing factors and passenger volume analysis of lasting large scale activities","authors":"Zhang Zheng, Wen Jiancheng, Wang Lixun, Sui Liying","doi":"10.1109/ICTIS.2015.7232207","DOIUrl":null,"url":null,"abstract":"Passenger volume of lasting large scale activities have the features of gathering, dispersing and large scale within a short time and a small range. Lasting large scale activities are defined as the large activities or events held for days, they have long duration, wide range of influence, and obvious passenger volume fluctuation, the passenger volume scale and time-space distribution is affected by weather, environment, holiday trip mode and other factors. It is important to reveal influencing factors and the influencing mechanism for the transportation operation and organize for lasting large scale activities. This study based on the passenger volume of the 9th China International Garden Expo, collected vehicle load coefficient through field car-following investigation. After observing the passenger volume by automated method, the study gained passenger volume data in a period of four months. Based on the collected data, the paper analyzes the characteristics of trip mode and passenger arrival and departure, as well as the influencing factors of passenger volume scale. This analysis shows that visit cost, weather and holidays are the main factors which are influencing the passenger volume scale. People tend to take care about their cost during visit and prefer to travel in good weather or holiday. Compared with the working day, weekend and holiday passenger volume highest average growth is over 200%, passenger volume growth is 30% on average. However, on rainy days, high temperature and other abnormal weather conditions, the passenger volume will decrease 20%-50%. The self-promotion activities held has not been obvious influenced on the passenger flow. The analysis of the influencing factors and time-space distribution characteristics of passenger volume of lasting large scale activities, will contribute to the study of traffic impact model of special activities, and provide effective data to support to make valid traffic organization and management measures during lasting large scale activities.","PeriodicalId":389628,"journal":{"name":"2015 International Conference on Transportation Information and Safety (ICTIS)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Conference on Transportation Information and Safety (ICTIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICTIS.2015.7232207","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Passenger volume of lasting large scale activities have the features of gathering, dispersing and large scale within a short time and a small range. Lasting large scale activities are defined as the large activities or events held for days, they have long duration, wide range of influence, and obvious passenger volume fluctuation, the passenger volume scale and time-space distribution is affected by weather, environment, holiday trip mode and other factors. It is important to reveal influencing factors and the influencing mechanism for the transportation operation and organize for lasting large scale activities. This study based on the passenger volume of the 9th China International Garden Expo, collected vehicle load coefficient through field car-following investigation. After observing the passenger volume by automated method, the study gained passenger volume data in a period of four months. Based on the collected data, the paper analyzes the characteristics of trip mode and passenger arrival and departure, as well as the influencing factors of passenger volume scale. This analysis shows that visit cost, weather and holidays are the main factors which are influencing the passenger volume scale. People tend to take care about their cost during visit and prefer to travel in good weather or holiday. Compared with the working day, weekend and holiday passenger volume highest average growth is over 200%, passenger volume growth is 30% on average. However, on rainy days, high temperature and other abnormal weather conditions, the passenger volume will decrease 20%-50%. The self-promotion activities held has not been obvious influenced on the passenger flow. The analysis of the influencing factors and time-space distribution characteristics of passenger volume of lasting large scale activities, will contribute to the study of traffic impact model of special activities, and provide effective data to support to make valid traffic organization and management measures during lasting large scale activities.