کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
7455224 1484472 2018 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Modeling urban growth boundary based on the evaluation of the extension potential: A case study of Wuhan city in China
ترجمه فارسی عنوان
مدل سازی مرز رشد شهری براساس ارزیابی پتانسیل گسترش: مطالعه موردی شهر ووهان در چین
موضوعات مرتبط
علوم انسانی و اجتماعی علوم اجتماعی توسعه
چکیده انگلیسی
The urban growth boundary (UGB) concept is useful in the field of urban planning, but models that can simulate the change in UGBs remain limited to date. In this paper, we propose a model known as UBEM that can simulate the future UGB. UBEM combines historical trajectories of UGB development and its extension potential in each azimuth to predict the future UGB for one city. UBEM consists of two parts: 1) the radiation method (RM) is used to describe the incremental length between the urban boundaries. In RM, urban centroids are used as the origin points to generate a set of radial lines from each azimuth, and we calculate the total and annual urban boundary length increments for each azimuth. 2) the extension pressure of the urban boundary is evaluated for different azimuths based on the potential value, which is generated by selecting a set of variables that are related to urban growth potential. Multiple time series maps were used to calibrate the model to reduce the randomness in future modeling. We compare the calibrated modeling result with those generated by the uncalibrated UBEM and a separate null model, applying two goodness of fit metrics to evaluate model accuracy: percent area match (PAM) quantity and PAM location were used to demonstrate that the calibrated UBEM performed better than the uncalibrated UBEM and null model when modeling the change in the urban boundary. Wuhan City in central China is used as a case study to test the viability of UBEM and predict the future UGB in 2020. The predication result offers helpful guidelines for Wuhan's future urban planning and UGB design.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Habitat International - Volume 72, February 2018, Pages 57-65
نویسندگان
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