Delimitating the Natural City with Points of Interests Based on Service Area and Maximum Entropy Method

The natural city, which is essential to understand urban physical scale and identify urban sprawling in urban studies, represents the urban functional boundaries of the city defined by human activities rather than the administrative boundaries. Most studies tend to utilize physical environment data...

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Main Authors: Lingbo Liu, Binxin Xia, Hao Wu, Jie Zhao, Zhenghong Peng, Yang Yu
Format: Article
Language:English
Published: MDPI AG 2019-05-01
Series:Entropy
Subjects:
Online Access:https://www.mdpi.com/1099-4300/21/5/458
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spelling doaj-e0bf09e7bf904ad4abe12e3d5422358a2020-11-25T01:05:48ZengMDPI AGEntropy1099-43002019-05-0121545810.3390/e21050458e21050458Delimitating the Natural City with Points of Interests Based on Service Area and Maximum Entropy MethodLingbo Liu0Binxin Xia1Hao Wu2Jie Zhao3Zhenghong Peng4Yang Yu5Department of Urban Planning, School of Urban Design, Wuhan University, Wuhan 430072, ChinaDepartment of Urban Planning, School of Urban Design, Wuhan University, Wuhan 430072, ChinaDepartment of Graphics and Digital Technology, School of Urban Design, Wuhan University, Wuhan 430072, ChinaDepartment of Urban Planning, School of Urban Design, Wuhan University, Wuhan 430072, ChinaDepartment of Graphics and Digital Technology, School of Urban Design, Wuhan University, Wuhan 430072, ChinaDepartment of Urban Planning, School of Urban Design, Wuhan University, Wuhan 430072, ChinaThe natural city, which is essential to understand urban physical scale and identify urban sprawling in urban studies, represents the urban functional boundaries of the city defined by human activities rather than the administrative boundaries. Most studies tend to utilize physical environment data such as street networks and remote sensing data to delimitate the natural city, however, such data may not match the real distribution of human activity density in the new cities or even ghost cities in China. This paper suggests aggregating the natural city boundary from the service area polygons of points of interest based on Reilly’s Law of Retail Gravitation and the maximum entropy method, since most points of interests provide services for surrounding communities, reflecting the vitality in a bottom-up way. The results indicate that the natural city defined by points of interests shows a high resolution and accuracy, providing a method to define the natural city with POIs.https://www.mdpi.com/1099-4300/21/5/458natural citymaximum entropy methodReilly’s Lawuncertainty problemshead/tail breakspoints of interest
collection DOAJ
language English
format Article
sources DOAJ
author Lingbo Liu
Binxin Xia
Hao Wu
Jie Zhao
Zhenghong Peng
Yang Yu
spellingShingle Lingbo Liu
Binxin Xia
Hao Wu
Jie Zhao
Zhenghong Peng
Yang Yu
Delimitating the Natural City with Points of Interests Based on Service Area and Maximum Entropy Method
Entropy
natural city
maximum entropy method
Reilly’s Law
uncertainty problems
head/tail breaks
points of interest
author_facet Lingbo Liu
Binxin Xia
Hao Wu
Jie Zhao
Zhenghong Peng
Yang Yu
author_sort Lingbo Liu
title Delimitating the Natural City with Points of Interests Based on Service Area and Maximum Entropy Method
title_short Delimitating the Natural City with Points of Interests Based on Service Area and Maximum Entropy Method
title_full Delimitating the Natural City with Points of Interests Based on Service Area and Maximum Entropy Method
title_fullStr Delimitating the Natural City with Points of Interests Based on Service Area and Maximum Entropy Method
title_full_unstemmed Delimitating the Natural City with Points of Interests Based on Service Area and Maximum Entropy Method
title_sort delimitating the natural city with points of interests based on service area and maximum entropy method
publisher MDPI AG
series Entropy
issn 1099-4300
publishDate 2019-05-01
description The natural city, which is essential to understand urban physical scale and identify urban sprawling in urban studies, represents the urban functional boundaries of the city defined by human activities rather than the administrative boundaries. Most studies tend to utilize physical environment data such as street networks and remote sensing data to delimitate the natural city, however, such data may not match the real distribution of human activity density in the new cities or even ghost cities in China. This paper suggests aggregating the natural city boundary from the service area polygons of points of interest based on Reilly’s Law of Retail Gravitation and the maximum entropy method, since most points of interests provide services for surrounding communities, reflecting the vitality in a bottom-up way. The results indicate that the natural city defined by points of interests shows a high resolution and accuracy, providing a method to define the natural city with POIs.
topic natural city
maximum entropy method
Reilly’s Law
uncertainty problems
head/tail breaks
points of interest
url https://www.mdpi.com/1099-4300/21/5/458
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