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Urban Informatics is a peer-reviewed journal published by Springer Nature, covering Human Mobility and Location-Based Analysis, Land Use and Ecosystem Services, Urban Transport and Accessibility.
| Publisher | Springer Nature |
|---|---|
| Reference style | Superscript numbered (Nature) Superscript — small raised numerals in the text 1. Smith, A., Jones, B. & Lee, C. A representative article title. Urban Informatics 12, 45–58 (2023).
Formats any DOI in Urban Informatics style. No sign-up. |
| Publishes research in | Human Mobility and Location-Based Analysis Land Use and Ecosystem Services Urban Transport and Accessibility Smart Cities and Technologies Traffic Prediction and Management Techniques |
| ISSN | 2731-6963 |
| Citation impact (2-yr) | 6.27 |
| h-index | 17 |
| i10-index | 32 |
| Total citations | 991 |
| Open access | Yes |
| Top institutions publishing here | Texas A&M University |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Abstract The digital transformation of modern cities by integrating advanced information, communication, and computing technologies has marked the epoch of data-driven smart city applications for efficient and sustainable urban management. Despite their effectiveness, these applications often rely on massive amounts of high-dimensional and multi-domain data for monitoring and characterizing different urban sub-systems, presenting challenges in…
Traffic flow prediction plays an important role in intelligent transportation systems. To accurately capture the complex non-linear temporal characteristics of traffic flow, this paper adopts a Bi-directional Gated Recurrent Unit (Bi-GRU) model in traffic flow prediction. Compared to Gated Recurrent Unit (GRU), which can memorize information from the previous sequence, this model can memorize the…
Abstract Due to climate change and rapid urbanization, Urban Heat Island (UHI), featuring significantly higher temperature in metropolitan areas than surrounding areas, has caused negative impacts on urban communities. Temporal granularity is often limited in UHI studies based on satellite remote sensing data that typically has multi-day frequency coverage of a particular urban area. This…
Abstract In this paper, we attempt to compare space syntax with spatial interaction. At one level, these two approaches to urban spatial structure are non-comparable. Space syntax is largely a descriptive technique for visualising spatial relations at the level of connections between places while spatial interaction is a predictive model that forecasts how much travel…
Abstract Because of its high spatial resolution (10 m and 20 m), rich spectral information (10 spectral bands), and short revisit period (5 days), Sentinel-2 provides new opportunities for earth observation. However, in urban environments, data limitations in the spatial and spectral dimensions constrain Sentinel-2’s performance: (i) the spatial resolution of Sentinel-2 is not sufficient…
