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...
Main Authors: | , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-05-01
|
Series: | Entropy |
Subjects: | |
Online Access: | https://www.mdpi.com/1099-4300/21/5/458 |
id |
doaj-e0bf09e7bf904ad4abe12e3d5422358a |
---|---|
record_format |
Article |
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 |
work_keys_str_mv |
AT lingboliu delimitatingthenaturalcitywithpointsofinterestsbasedonserviceareaandmaximumentropymethod AT binxinxia delimitatingthenaturalcitywithpointsofinterestsbasedonserviceareaandmaximumentropymethod AT haowu delimitatingthenaturalcitywithpointsofinterestsbasedonserviceareaandmaximumentropymethod AT jiezhao delimitatingthenaturalcitywithpointsofinterestsbasedonserviceareaandmaximumentropymethod AT zhenghongpeng delimitatingthenaturalcitywithpointsofinterestsbasedonserviceareaandmaximumentropymethod AT yangyu delimitatingthenaturalcitywithpointsofinterestsbasedonserviceareaandmaximumentropymethod |
_version_ |
1725193007022473216 |