Urban Zoning Using Intraday Mobile Phone-Based Commuter Patterns in the City of Brno
| Authors | |
|---|---|
| Year of publication | 2023 |
| Type | Article in Proceedings |
| Conference | Computational Science and Its Applications – ICCSA 2023 |
| MU Faculty or unit | |
| Citation | |
| Web | https://doi.org/10.1007/978-3-031-36808-0_35 |
| Doi | http://dx.doi.org/10.1007/978-3-031-36808-0_35 |
| Keywords | Intraday commute patterns; Urban commute; City delineation; Urban zoning; Mobile phone mobility data |
| Description | The emergence of information and mobile technology has had a profound impact on modern life, altering the manner in which individuals communicate, access information, entertain themselves, and conduct business. This development has created new opportunities for researchers to access datasets that were not accessible to prior generations of scholars. Historically, studies of urban commuting have relied on census data, which portrays commute patterns as a static number that are updated every few years. However, over the last two decades, the advent of mobile phone datasets has facilitated new research avenues. This study employs mobile phone mobility data to define a signature of urban districts within the Czech city of Brno, utilizing it for the purpose of urban zoning. The proposed signatures provide a tangible classification of neighborhoods with potential applications in urban and transportation planning. This approach is demonstrated using mobile data of 13 thousand inhabitants of Brno and can be applied to other cities wherever similar data is available. |
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