Urban Flood And Its Correlation With Built-Up Area In Semarang, Indonesia, Risty Khoirunisa, Bambang Darmo Yuwono

Smart City

The expansion of urban areas is closely related to environmental problems such as changes in land use, flooding, and land subsidence. Semarang is a city with reasonably rapid development and a high land change experiencing floods and land subsidence. This paper will discuss land transformation caused by urban growth and its implications. It uses a combination of geospatial techniques and cloud computing Google Earth Engine (GEE) to carry out mapping over a large area without being constrained by computer capabilities. This study found that the built-up area in 2010 occupied 36.27% of the city, and it went up to 59.79% …

From The Abacus To Big Data: The Evolution Of Data-Driven Planning In The U.S. And Where The Field Will Be Headed, Keuntae Kim

Journal of Comparative Urban Law and Policy

The nature of planning involves a set of decision-making processes to fulfill people’s needs and expectations of where they live, work, and play. Dealing with the nature of planning—complexity, uncertainty, and disagreement—requires specific tools to explore various aspects of the built environment as a whole. Various types of data have been extracted, transformed, and loaded to describe the past and current conditions of the built environment, and planners have developed and applied data-driven planning tools to explore the knowns and unknowns of the urban futures and transform them into a set of actions based on the goals with consensus. This …

The Spatial Effects Of Elderly Population Presence On Covid -19 Incidence In Dki Jakarta Before, During, And After Large-Scale Social Restriction, Chotib Chotib, I G A A Karishma Maharani Raijaya Mrs., Ahmad Aki Aki Muhaimin Mr., Novani Saputri

Smart City

ABSTRACT

Infected cases and suspect cases of covid-19 are increasing more and more daily. This increment happens either in whole regions of Indonesia and DKI Jakarta as a capital city. The purpose of this research is to seek the pattern in spatial of Covid-19 incidence with 3 different periods of before, during, and after large-scale social restriction, and to identify the influence of the presence of the elderly and other factors. One of the scopes of this study is the presence of the elderly because the elderly population is considered as influencing the increase of Covid-19 incidence. The analysis method …

The Development Of Japanese City's Future Simulation System: My City Forecast, Toshikazu Seto, Hiroshi Omata, Yuki Fukushima, Yoko Hasegawa, Midori Maeda, Yoshihide Sekimoto

Free and Open Source Software for Geospatial (FOSS4G) Conference Proceedings

In recent years, the optimization of urban management due to the rapid population decline has been one of the major issues in Japan. Future population estimation and related statistical information, such as the location information of the public facility is now available to open. However, open data utilization in the urban planning field is not advanced in comparison with other countries. We constructed the Web system using FOSS4G that citizens can be the future image of the city to operate on their own. It used mainly below FOSS4G tools; OpenLayers, PostGIS, Pgrouting and Geocolor. The collected data calculated in advance, …

The Billion Object Platform (Bop): A System To Lower Barriers To Support Big, Streaming, Spatio-Temporal Data Sources, Devika Kakkar, Ben Lewis, David Smiley, Ariel Nunez

Free and Open Source Software for Geospatial (FOSS4G) Conference Proceedings

With funding from the Sloan Foundation and Harvard Dataverse, the Harvard Center for Geographic Analysis (CGA) has developed a big spatio-temporal data visualization platform called the Billion Object Platform or "BOP". The goal of the project is to lower barriers for scholars who wish to access large, streaming, spatio-temporal datasets. Since once archived, streaming data gets big fast, and since most GIS systems don't support interactive visualization of millions of objects, a new platform was needed. The BOP is loaded with the latest billion geo-tweets and is fed a real-time stream of about 1 million tweets per day. The CGA …