Abstract
Holidays have been found to have a large impact on travelers' mobility patterns. Understanding the holiday effects on airport landside passenger volume is important to prepare access mode services and manage landside traffic. However, the effects have little been investigated in the literature. This study analyzed the data from daily landside passenger volumes collected from year 2012 to 2014 at Shanghai Hongqiao International Airport Terminal 2. A SARIMAX model for passenger volume prediction was used to quantify the holiday effects, and the results indicated that passenger volume decreases during holiday period. A comparison between SARIMAX and SARIMA model is presented to compare accuracies and it is shown that the SARIMAX model is capable of interpreting both internal and external influences on passenger volume prediction.
| Original language | English |
|---|---|
| Title of host publication | CICTP 2017 |
| Subtitle of host publication | Transportation Reform and Change - Equity, Inclusiveness, Sharing, and Innovation - Proceedings of the 17th COTA International Conference of Transportation Professionals |
| Editors | Haizhong Wang, Jian Sun, Jian Lu, Lei Zhang, Yu Zhang, ShouEn Fang |
| Place of Publication | Shanghai |
| Publisher | American Society of Civil Engineers |
| Pages | 300-309 |
| Number of pages | 10 |
| Volume | 2018-January |
| ISBN (Electronic) | 9780784480915 |
| DOIs | |
| Publication status | Published - 2018 |
| Event | 17th COTA International Conference of Transportation Professionals (CICTP 2017) - Shanghai, China Duration: 7 Jul 2017 → 9 Jul 2017 Conference number: 17 http://www.cota-home.org/CICTP/CICTP2017.html |
Conference
| Conference | 17th COTA International Conference of Transportation Professionals (CICTP 2017) |
|---|---|
| Abbreviated title | CICTP 2017 |
| Country/Territory | China |
| City | Shanghai |
| Period | 7/07/17 → 9/07/17 |
| Other | Transportation Reform and Change - Equity, Inclusiveness, Sharing, and Innovation |
| Internet address |