Haifeng Niu

Haifeng Niu
University of Cambridge | Cam · Department of Land Economy

PhD student

About

5
Publications
894
Reads
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20
Citations
Introduction
Haifeng Niu currently works at the Department of Land Economy, University of Cambridge. Haifeng does research in Geostatistics, Geoinformatics (GIS) and Quantitative Social Research.
Skills and Expertise
Qualitative Analysis
Spatial Analysis
Geostatistical Analysis
Spatial Statistics
Mapping
Data Collection
Geoinformation
Geographical Analysis
Geo-processing
Digital Terrain Analysis

Publications

Publications (5)
Hard and Soft Data Integration in Geocomputation: Mixed Methods for Data Collection and Processing in Urban Planning (chapter 4) In: Handbook on Planning Support Science. Ed. Stan Geertman & John Stillwell, Edward Elgar Publishers
Chapter
  • Mar 2019
Fig. 1. Network map of cocited authors by 226 included papers.
Figure 2. Network map of co-cited references by 226 included papers.
Figure 3. Scatter plot of 20 most cited references Before crowdsourced...
Main concepts and search terms for the search query
+6 Representative studies of mobility patterns
Crowdsourced Data Mining for Urban Activity: Review of Data Sources, Applications, and Methods
Article
Full-text available
  • Mar 2020
The penetration of devices integrated with location-based services and internet services has generated massive data about the everyday life of citizens and tracked their activities happening in cities. Crowdsourced data, such as social media data, POIs data and collaborative websites, generated by the crowd, has become fine-grained proxy data of ur...
Fig. 1. The case study area: Greater London. The grey dots refer to...
Fig. 2. Rank-frequency plot for 574 POI classes in Greater London.
Fig. 3. Flowchart of the methodology.
Fig. 4. POI sequences construction in Greater London. Left: Constructed...
+9 Fig. 5. Plots of POI class diversity for different analysis units (NaN...
Delineating urban functional use from points of interest data with neural network embedding: A case study in Greater London
Article
Full-text available
  • Jul 2021
Delineating urban functional use plays a key role in understanding urban dynamics, evaluating planning strategies and supporting policymaking. In recent years, Points of Interest (POI) data, with precise geolocation and detailed attributes, have become the primary data source for exploring urban functional use from a bottom-up perspective, using lo...
Appendix B - Supplementary Material 2.pdf
Data
  • May 2021
Appendix B - Supplementary Material 1.pdf
Data
  • May 2021

Network

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Projects

Project (1)
2017/18 CDBB Mini-Project:Crowdsourcing Data in Mining Spatial Urban Activities
Archived project
This project focuses on the crowdsourcing data harvesting and data- mining of the multi-dimensional mechanisms of urban segregation combining the geo-coding of information with the rich attributes of this type of data. This project will conduct pilots at Cambridge in the UK and then compare it with prior study of Ningbo in China from an international perspective.