Functional Area Recognition and Use-Intensity Analysis Based on Multi-Source Data
A Case Study of Jinan, China
Bibliographic Data
| ID | 22033711 |
|---|---|
| Authors | Mingyang Yu (0000-0002-0705-7443, Shandong Jianzhu University), Jingqi Li (0009-0002-8987-6887, Shandong Jianzhu University), Yongqiang Lv (Shandong Jianzhu University), Huaqiao Xing (0000-0002-8748-1729, Shandong Jianzhu University), Huimeng Wang (0000-0002-4280-503X, Shandong Jianzhu University, corresponding author) |
| Year | 2021 |
| Volume | 10 |
| Issue | 10 |
| Pages | 640 |
| Publication date | 2021-09-24 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | ISPRS International Journal of Geo-Information (JOURNAL) |
| Journal identifiers | ISSN: 2220-9964 • E-ISSN: 2220-9964 |
| Publisher | MDPI AG (PUBLISHER • IT) |
| DOI | 10.3390/ijgi10100640 |
| OpenAlex | W3203271210 |
| Language | EN |
| Citations received | 2 |
| References cited | 13 |
This paper proposes a GIS-based field model for hot-spot extraction based on POI data and analyzes the use intensity of functional areas by using Tencent location data to identify and describe the morphological characteristics and dynamic use intensity of facilities in urban functional areas. Taking the four districts of Jinan City Center as an example, we used the generalized symmetric structure spectrum and digital field-based hierarchical geo-information Tupu to extract facility hot spots. Tencent location data were then applied to quantify differences in the use intensity of functional areas between workday and weekend, as well as between daytime and nighttime. Finally, refined research on functional areas was realized from a dynamic point of view. Results showed that (1) the generalized symmetric structure spectrum and digital field-based hierarchical geo-information Tupu can identify and express the characteristics of the spatial distribution and hierarchical structures of urban facility hot spots at the horizontal and vertical levels, respectively; (2) overall, the distribution of all types of functional areas presents the characteristics of “circular structures,” which form a spatial pattern of “multi-center” groups and “single/mixed” functional areas; (3) aside from residential facilities, green space and square land facilities have the highest use intensity; this finding highlights the tourism characteristics of Jinan. Low-use intensity areas are distributed at the periphery of the four districts, while high-use intensity areas, the functional type of which is mainly business facilities, are mainly distributed around the urban area. These results are helpful to the development strategy of the city’s efforts to adapt to economic change and provide a scientific basis for the functional orientation of Jinan City
Cartography · Geography · Remote sensing · Computer Science · Environmental Science · Human Mobility and Location-Based Analysis · Land Use and Ecosystem Services · Mathematics · Urban Transport and Accessibility
Extracting urban functional regions from points of interest and human activities on location‐based social networks
Crowdsourcing urban form and function
Analysis of Spatial Interaction between Different Food Cultures in South and North China
Using Restaurant POI Data to Explore Regional Structure of Food Culture Based on Cuisine Preference
Hotspot Detection and Spatiotemporal Evolution of Catering Service Grade in Mountainous Cities from the Perspective of Geo-Information Tupu
Tourists' digital footprint in cities
| Citations per year | 0.5 |
|---|---|
| Citation span | 2022 - 2024 (3) |
| Highly cited | No |