Community detection, road importance assessment, and urban function pattern recognition: a big data approach-Reference-Cited by-同舟云学术

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Community detection, road importance assessment, and urban function pattern recognition: a big data approach

Published:2021-06-21 Issue: Volume: Page:1-21
ISSN:1449-8596
Container-title:Journal of Spatial Science
language:en
Short-container-title:Journal of Spatial Science

Author:

Wei Sheng¹,Wang Lei²³

Affiliation:

1. Jiangsu Institute of Urban Planning and Design, Nanjing, China

2. Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, CAS, Nanjing, China

3. Planning and Environmental Management, School of Environment, Education and Development, University of Manchester, Manchester, UK

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

Publisher

Informa UK Limited

Subject

Atmospheric Science,General Energy,Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/14498596.2021.1936669

Reference60 articles.

1. Everyday space–time geographies: using mobile phone-based sensor data to monitor urban activity in Harbin, Paris, and Tallinn

2. Exploring Bikesharing Travel Patterns and Trip Purposes Using Smart Card Data and Online Point of Interests

3. Emergence of Scaling in Random Networks

4. OSMnx: New methods for acquiring, constructing, analyzing, and visualizing complex street networks

5. Measuring the complexity of urban form and design

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1. Identifying urban functional zones by analysing the spatial distribution of amenities;ENVIRON PLAN B-URBAN;2024

2. Analysis of Functional Living Zones Changes and Influencing Factors of Travel Distance Before and After COVID-19 in Seoul, Korea : Using Mobile Phone-based Mobility Bigdata and Community Detection;Journal of Korea Planning Association;2024-04-30

3. Proof of biased behavior of Normalized Mutual Information;Scientific Reports;2024-04-19

4. Identification and Prediction Network Analysis Based on Multivariate Data of Urban Form: A Case Study of Shenzhen, China;Sustainability;2023-08-01

5. Sub-Block Urban Function Recognition with the Integration of Multi-Source Data;Sensors;2022-10-16

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