Hybrid Urban Model (CA + Agents) for the Simulation of Real Estate Market Dynamics and Sea-Level Rise Impacts
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN: 1611-3349, Vol: 12950 LNCS, Page: 684-692
2021
- 3Captures
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Captures3
- Readers3
Conference Paper Description
The paper presents a proposal for a hybrid model - based on cellular automata and agents - that simulates the spatial distribution of population and built area according to real estate market’s dynamics and the risk of flooding due to sea-level rise. Its main differential is the integration of network analysis metrics to the functioning of the cellular automata. This proposal was motivated by the interest in analysing future development scenarios for the coast of Rio Grande do Sul, a state located in southern Brazil. Its demographic dynamics have been generating pressure for urban growth to the detriment of the surrounding natural environment, making cities in the region more susceptible to natural phenomena such as the sea-level rise. The proposed model is presented through the ODD + D description protocol and the results of simulations executed for Imbé and Tramandaí, two municipalities located on the coast of Rio Grande do Sul. The results show that the model represents the effect of current planning policies on long-term urban development. However, some urban dynamics are not yet precisely represented by the proposal at its current stage of development.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85125282852&origin=inward; http://dx.doi.org/10.1007/978-3-030-86960-1_52; https://link.springer.com/10.1007/978-3-030-86960-1_52; https://link.springer.com/content/pdf/10.1007/978-3-030-86960-1_52; https://dx.doi.org/10.1007/978-3-030-86960-1_52; https://link.springer.com/chapter/10.1007/978-3-030-86960-1_52
Springer Science and Business Media LLC
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know