文章基本信息

标题：Sustainable Cities, Transportation and Warehousing GDP
本地全文：下载
作者：Muhammad Ikhsan Setiawan ; Agus Sukoco ; Dani Harmanto 等
期刊名称：IOP Conference Series: Earth and Environmental Science
印刷版ISSN：1755-1307
电子版ISSN：1755-1315
出版年度：2020
卷号：498
期号：1
DOI：10.1088/1755-1315/498/1/012112
语种：English
出版社：IOP Publishing
摘要：The development of the airport city, integrated commercial property, and the land, produces non-aeronautical income from tourists, business people, and cargo. The research uses secondary data archives that contain past (historical) events to find out several factors that affect transportation and warehousing GDP. Other data provided in the study is panel data, which is data of several airport locations (cross-section). Data analysis is then carried out by using quantitative methods. Meanwhile, sampling is done by purposive sampling that was based on individual or researcher' considerations, which often referred to as sampling considerations. Initially, the population is 299 airports that are managed by PT. Angkasa Pura I and PT. Angkasa Pura II, and UPT Air Transportation. It is then reduced to 172 airports throughout Indonesia, which later is filtered further to only 151 airports. Results of the multiple linear regression analysis show that factors that affect Transportation and Warehousing GDP are the plane arrived, the plane departed and passengers depart. ARX estimation and ARX Validation Transportation and Warehousing GDP, that produces a fit of 51.08% and a fit validation of 51.45%. Of the 90 data used for estimation, 46 data, or 51.08% of ARX, have similarities with existing data. The value is quite good because the fitness produced is > 50% that affect Transportation and Warehousing GDP are the plane arrived, the plane departed, passenger departing, departing passengers, unloading baggage, loading baggage, unloading cargo and loading cargo. All are influential on Transportation and Warehousing GDP.