## Appendix A
\begin{tabular}{c c} \hline \hline
**Number** & **Title** \\ \hline
100 & Identifying Mixed Functions of Urban Public Service Facilities in Beijing by Cumulative Opportunity Accessibility Method \\ \hline
101 & Function identification method of urban rail Interchange Station based on factor analysis and cluster analysis \\ \hline
102 & Urban Functional Area Identification Method Based on Mobile Big Data \\ \hline
103 & Identification of Urban Functional Zones Using Network Kernel Density Estimation and Kriging Interpolation \\ \hline
104 & Sensing Multi-level Urban Functional Structures by Using Time Series Taxi Trajectory Data \\ \hline
105 & Research on function identification and distribution characteristics of Wuhan supported by big data \\ \hline
106 & Urban Land Use Function Recognition Method Using Sequential Mobile Phone Data \\ \hline
107 & Identification of Urban Interest Function Region by Using Social Media Check-in Data \\ \hline
108 & Spatial Distribution and Interaction Analysis of Urban Functional Areas Based on Multi-source Data \\ \hline
109 & Identification and Classification of Wuhan Urban Districts Based on POI \\ \hline \hline \end{tabular}   
**Table A4. ** List of papers after manually checking. \begin{tabular}{c c} \hline \hline
**Number** & **Title** \\ \hline
1 & A new urban functional zone-based climate zoning system for urban temperature study \\ \hline
2 & A novel method of division major function oriented zoning using multi-source data in Guangzhou, China \\ \hline
3 & Sensing spatial distribution of urban land use by integrating points-of-interest and Google Word2 Vec model \\ \hline
4 & Classifying urban land use by integrating remote sensing and social media data \\ \hline
5 & Hierarchical semantic cognition for urban functional zones with VHR satellite images and POI data \\ \hline
6 & Beyond Word2 vec: An approach for urban functional region extraction and identification by combining Place2 vec and POIs \\ \hline
7 & Mapping Urban Functional Zones by Integrating Very High Spatial Resolution Remote Sensing Imagery and Points of Interest: A Case Study of Xiamen, China \\ \hline
8 & SO-CNN based urban functional zone fine division with VHR remote sensing image \\ \hline
9 & Monitoring finer-scale population density in urban functional zones: A remote sensing data fusion approach \\ \hline
10 & Multiscale Geoscene Segmentation for Extracting Urban Functional Zones from VHR Satellite Images \\ \hline
11 & Integrating bottom-up classification and top-down feedback for improving urban land-cover and functional-zone mapping \\ \hline
12 & Hierarchical community detection and functional area identification with OSM roads and complex graph theory \\ \hline
13 & Heuristic sample learning for complex urban scenes: Application to urban functional-zone mapping with VHR images and POI data \\ \hline
14 & Large-scale urban functional zone mapping by integrating remote sensing images and open social data \\ \hline
15 & Identification of Urban Functional Areas Based on POI Data: A Case Study of the Guangzhou Economic and Technological Development Zone \\ \hline
16 & Semantic and Spatial Co-Occurrence Analysis on Object Pairs for Urban Scene Classification \\ \hline
17 & DFCNN-Based Semantic Recognition of Urban Functional Zones by Integrating Remote Sensing Data and POI Data \\ \hline
18 & Identification of Urban Functional Regions Based on Floating Car Track Data and POI Data \\ \hline
19 & A multi-modal transportation data-driven approach to identify urban functional zones: An exploration based on Hangzhou City, China \\ \hline
20 & Context-Enabled Extraction of Large-Scale Urban Functional Zones from Very-High-Resolution Images: A Multiscale Segmentation Approach \\ \hline
21 & Recognizing urban functional zones by a hierarchical fusion method considering landscape features and human activities \\ \hline \hline \end{tabular}