Understanding urban infrastructure via big data
The case of Belo Horizonte
Bibliographic Data
| ID | 7366642 |
|---|---|
| Authors | Aksel Ersoy (0000-0001-5730-859X, corresponding author), Klaus Chaves Alberto (0000-0003-2845-8307) |
| Year | 2019 |
| Volume | 6 |
| Issue | 1 |
| Pages | 374-379 |
| Publication date | 2019-01-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Regional Studies Regional Science (JOURNAL) |
| Journal identifiers | ISSN: 2168-1376 • E-ISSN: 2168-1376 |
| Publisher | Taylor & Francis (PUBLISHER • GB) |
| DOI | 10.1080/21681376.2019.1623068 |
| OpenAlex | W2951959490 |
| Language | EN |
| Citations received | 3 |
| References cited | 11 |
One major impact of the global economic crisis is the way it has deepened inequalities around the world. Infrastructure remains essential within this debate as it provides wider health, economic and environmental benefits for society beyond the conventional calculations of cash returns. With the potential exploration of big data, cities now face challenges as well as opportunities to use a series of static and dynamic datasets. Big data methods are offering new opportunities to design decision-making models for urban planning and management. The combination of social media, census, sensors and traditional data gives a new perspective to solve modern urban challenges through a holistic and inclusive approach. Nevertheless, the BOLD methods are relatively new and have not been applied in the context of urban infrastructure. This paper explores whether BOLD methods can help one reconceptualize urban infrastructure not only with technical and operational characteristics but also with social values in the context of the Global South. To demonstrate, Belo Horizonte, Brazil, is used as a case study
Big data · Business · Civil engineering · Context (archaeology · Data science · Environmental planning · Face (sociological concept · Geography · Inequality · Perspective (graphical · Regional science · Social science · Sociology · Urban planning · Computer Science · Engineering · Human Mobility and Location-Based Analysis · Smart Cities and Technologies · Urban Design and Spatial Analysis
| Unique citing works | 3 |
|---|---|
| Citations per year | 0,6 |
| Citation span | 2021 - 2021 (1) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 3 |