scholarly journals Large-Scale GIS-Based Urban Flood Modelling: A Case Study on the City of Ouagadougou

2018 ◽  
pp. 703-717
Author(s):  
Christophe Bouvier ◽  
Nanée Chahinian ◽  
Marko Adamovic ◽  
Claire Cassé ◽  
Anne Crespy ◽  
...  
Keyword(s):  
Large Scale ◽  
Urban Flood ◽  
Flood Modelling ◽  
The City ◽  
Urban Flood Modelling

scholarly journals Accessible Routes Integrating Data from Multiple Sources

2020 ◽  
Vol 10 (1) ◽  
pp. 7
Author(s):  
Miguel R. Luaces ◽  
Jesús A. Fisteus ◽  
Luis Sánchez-Fernández ◽  
Mario Munoz-Organero ◽  
Jesús Balado ◽  
...  
Keyword(s):  
Information System ◽  
Data Model ◽  
Large Scale ◽  
Heterogeneous Data ◽  
Multiple Sources ◽  
Heterogeneous Data Sources ◽  
Different Types ◽  
Software Sensors ◽  
The City

Providing citizens with the ability to move around in an accessible way is a requirement for all cities today. However, modeling city infrastructures so that accessible routes can be computed is a challenge because it involves collecting information from multiple, large-scale and heterogeneous data sources. In this paper, we propose and validate the architecture of an information system that creates an accessibility data model for cities by ingesting data from different types of sources and provides an application that can be used by people with different abilities to compute accessible routes. The article describes the processes that allow building a network of pedestrian infrastructures from the OpenStreetMap information (i.e., sidewalks and pedestrian crossings), improving the network with information extracted obtained from mobile-sensed LiDAR data (i.e., ramps, steps, and pedestrian crossings), detecting obstacles using volunteered information collected from the hardware sensors of the mobile devices of the citizens (i.e., ramps and steps), and detecting accessibility problems with software sensors in social networks (i.e., Twitter). The information system is validated through its application in a case study in the city of Vigo (Spain).

scholarly journals Contrasts in Innovation: Pittsburgh Then and Now

2017 ◽  
Author(s):  
Michael J Madison
Keyword(s):  
Steel Industry ◽  
Large Scale ◽  
Production Model ◽  
Local Conditions ◽  
Industrial Economy ◽  
Industrial Regions ◽  
Post Industrial ◽  
The Relationship ◽  
The City

Assessments of the relationship among law, innovation, and economic growth often begin with one or more propositions of law or law practice and predict how changes might affect innovation or business practice. This approach is problematic when applied to questions of regional economic development, because historic and contemporary local conditions vary considerably. This paper takes a different tack. It takes a snapshot of one recovering post-industrial economy, in Pittsburgh, Pennsylvania, USA. For most of the 20th century, Pittsburgh's steelmakers were leading examples worldwide of American economic prowess. Pittsburgh was so vibrant with industry that a late 19th century travel writer called Pittsburgh "hell with the lid taken off," and he meant that as a compliment. In the early 1980s, however, Pittsburgh's steel economy collapsed, a victim of changing worldwide demand for steel and the industry's inflexible commitment to a large-scale integrated production model. As the steel industry collapsed, the Pittsburgh region collapsed, too. Unemployment in some parts of the Pittsburgh region peaked at 20%. More than 100,000 manufacturing jobs disappeared. Tens of thousands of residents moved away annually. Over the last 30 years, Pittsburgh has slowly recovered, building a new economy that balances limited manufacturing with a broad range of high quality services. In 2009, President Barack Obama took note of the region's rebirth by selecting the city to host a summit of the Group of 20 (G-20) finance ministers. The paper describes the characteristics of Pittsburgh today and measures the state of its renewal. It considers the extent, if any, to which law and the legal system have contributed to Pittsburgh's modern success, and it identifies lessons that this Pittsburgh case study might offer for other recovering and transitioning post-industrial regions.

scholarly journals A Data-Driven Hybrid Urban Flood Modelling Approach

10.29007/fbh3 ◽  
2018 ◽  
Author(s):  
Xiaohan Li ◽  
Patrick Willems
Keyword(s):  
Data Availability ◽  
Data Driven ◽  
Property Management ◽  
Flood Modeling ◽  
Urban Flood ◽  
Flood Modelling ◽  
Data Sparseness ◽  
Input Quality ◽  
Fully Adaptive ◽  
Urban Flood Modelling

Urban flood pre-warning decisions made upon urban flood modeling is crucial for human and property management in urban area. However, urbanization, changing environmental conditions and climate change are challenging urban sewer models for their adaptability. While hydraulic models are capable of making accurate flood predictions, they are less flexible and more computationally expensive compared with conceptual models, which are simpler and more efficient. In the era of exploding data availability and computing techniques, data-driven models are gaining popularity in urban flood modelling, but meanwhile suffer from data sparseness. To overcome this issue, a hybrid urban flood modeling approach is proposed in this study. It incorporates a conceptual model to account for the dominant sewer hydrological processes and a logistic regression model able to predict the probabilities of flooding on a sub-urban scale. This approach is demonstrated for a highly urbanized area in Antwerp, Belgium. After comparison with a 1D/0D hydrodynamic model, its ability is shown with promising results to make probabilistic flood predictions, regardless of rainfall types or seasonal variation. In addition, the model has higher tolerance on data input quality and is fully adaptive for real time applications.

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