Identifying localized amenities for gentrification using a machine learning-based framework-Reference-Cited by-同舟云学术

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Identifying localized amenities for gentrification using a machine learning-based framework

Published:2022-08 Issue: Volume:145 Page:102748
ISSN:0143-6228
Container-title:Applied Geography
language:en
Short-container-title:Applied Geography

Author:

Zeng Jin,Yue Yang^ORCID,Gao Qili^ORCID,Gu Yanyan^ORCID,Ma Chenglin

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Tourism, Leisure and Hospitality Management,General Environmental Science,Geography, Planning and Development,Forestry

Reference77 articles.

1. China new style tea and beverage industry research report 2019-2024;Forward consulting,2019

2. An introduction to machine learning;Badillo;Clinical Pharmacology & Therapeutics,2020

3. Urban institute business patterns data set: Technical documentation;Bajaj,2011

4. Gentrification central: A change-based typology of the American urban core;Bereitschaft;Applied Geography,2020

5. Cleveland METROPARKS and the lake erie coast: Natural capital and resilience in the forest city;Berry,2017

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1. Population shrinkage and its influence on housing prices: A mediation perspective based on commercial amenities;Habitat International;2024-09

2. Location dynamics of coworking spaces in China: insights from Beijing metropolitan;Regional Studies, Regional Science;2024-08-05

3. Clustering of zones according to the level of gentrification by using an unsupervised learning algorithm;Cities;2024-08

4. Machine learning to model gentrification: A synthesis of emerging forms;Computers, Environment and Urban Systems;2024-07

5. Craft breweries as a neighborhood amenity: evidence from residential real estate listings;Urban Geography;2024-05-15

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