Abstract
With rapid urbanization, cities around the world have undergone significant changes in their spatial and functional structures. Most previous studies focus on the division of urban regions, however, this cannot forecast the development of the city. In this paper, we propose a novel concept named regional intensity (RI) to indicate the functional intensity of each region and predict the regional development trend. In the end, we conduct extensive experiments using the temporal dataset of New York City to verify the effectiveness of our proposed approach.
| Original language | English |
|---|---|
| Title of host publication | International Conference on Smart Transportation and City Engineering, STCE 2023 |
| Editors | Miroslava Mikusova |
| Publisher | SPIE |
| ISBN (Electronic) | 9781510673540 |
| DOIs | |
| Publication status | Published - 2024 |
| Externally published | Yes |
| Event | 2023 International Conference on Smart Transportation and City Engineering, STCE 2023 - Chongqing, China Duration: 16 Dec 2023 → 18 Dec 2023 |
Publication series
| Name | Proceedings of SPIE - The International Society for Optical Engineering |
|---|---|
| Volume | 13018 |
| ISSN (Print) | 0277-786X |
| ISSN (Electronic) | 1996-756X |
Conference
| Conference | 2023 International Conference on Smart Transportation and City Engineering, STCE 2023 |
|---|---|
| Country/Territory | China |
| City | Chongqing |
| Period | 16/12/23 → 18/12/23 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 11 Sustainable Cities and Communities
Keywords
- complex networks
- regional development
- temporal dataset
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