IJGI, Free Full-Text

To create quality decision-making tools that would contribute to transport sustainability, we need to build models relying on accurate, timely, and sufficiently disaggregated data. In spite of today’s ubiquity of big data, practical applications are still limited and have not reached technology readiness. Among them, passively generated telecom data are promising for studying travel-pattern generation. The objective of this study is twofold. First, to demonstrate how telecom data can be fused with other data sources and used to feed up a traffic model. Second, to simulate traffic using an agent-based approach and assess the emission produced by the model’s scenario. Taking Novi Sad as a case study, we simulated the traffic composition at 1-s resolution using the GAMA platform and calculated its emission at 1-h resolution. We used telecom data together with population and GIS data to calculate spatial-temporal movement and imported it to the ABM. Traffic flow was calibrated and validated with data from automatic vehicle counters, while air quality data was used to validate emissions. The results demonstrate the value of using diverse data sets for the creation of decision-making tools. We believe that this study is a positive endeavor toward combining big data and ABM in urban studies.

Apps

Serial Number 3D World Map 2.1 - Colaboratory

ISPRS International Journal of Geo-Information

IJGI, Free Full-Text

World Tiling/Grid - Theory - Thrive Development Forum

Full article: Volunteered geographic information research in the first decade: a narrative review of selected journal articles in GIScience

Full article: Landslide susceptibility mapping in three Upazilas of Rangamati hill district Bangladesh: application and comparison of GIS-based machine learning methods

High dielectric permittivity and improved mechanical and thermal properties of poly(vinylidene fluoride) composites with low carbon nanotube content: effect of composite processing on phase behavior and dielectric properties - IOPscience

Full article: Evaluation efficiency of hybrid deep learning algorithms with neural network decision tree and boosting methods for predicting groundwater potential

Frontiers Spatiotemporal Analysis of Urban Green Areas Using Change Detection: A Case Study of Kharkiv, Ukraine

IJGI Free Full-Text UAV Photogrammetry-Based 3D Road Distress Detection

IJGI, Free Full-Text

Flow Chart Of Spatialtemporal Trajectory Outlier Detection Algorithm

University Of South Florida Libraries 3D Models Download - Colaboratory