دورية أكاديمية

Forecasting the Land Value around Commuter Rail Stations using Hedonic Price Modeling

التفاصيل البيبلوغرافية
العنوان: Forecasting the Land Value around Commuter Rail Stations using Hedonic Price Modeling
المؤلفون: Mohammed Ali Berawi, Nyoman Suwartha, Kahfi Kurnia, Gunawan, Perdana Miraj, Abdur Rohim Boy Berawi
المصدر: International Journal of Technology, Vol 9, Iss 7, Pp 1329-1337 (2018)
بيانات النشر: Universitas Indonesia, 2018.
سنة النشر: 2018
المجموعة: LCC:Technology
LCC:Technology (General)
مصطلحات موضوعية: Hedonic price modeling, Land price, Land value capture, Railway, Technology, Technology (General), T1-995
الوصف: The value of land is determined by the relationship between supply and demand in the land market and the land’s location, physical structure, and surrounding area. During infrastructure development, changes in land use and its characteristics are possible and may directly affect the land price significantly. This research aims to generate a prediction model of land market values in response to transportation infrastructure development and elaborates a correlation among factors affecting the land price. A hedonic pricing model is used through multiple linear regression to seek contributing factors affecting the land price. The result shows that the proposed hedonic model can predict the price of land using the model LnLand Price = 16.991 + 0.203 Shape of land + 0.084 Economy of Residents – 0.719 LogStation – 0.405 LogAge. This estimated formula could be used as part of a land value capture mechanism for future development.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2086-9614
2087-2100
Relation: http://ijtech.eng.ui.ac.id/article/view/2589; https://doaj.org/toc/2086-9614; https://doaj.org/toc/2087-2100
DOI: 10.14716/ijtech.v9i7.2589
URL الوصول: https://doaj.org/article/630e180afc494ced9d2cf68b57dbe979
رقم الأكسشن: edsdoj.630e180afc494ced9d2cf68b57dbe979
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:20869614
20872100
DOI:10.14716/ijtech.v9i7.2589