X Transit Hub
Walkability Model Using Dynamic Multilayer Method in Transit Hub Design
Type: Individual work
Software: Rhino, Grasshopper, Wallacei, Quelea, Caribou, Arachne, Kangaroo 2, Twinmotion & Adobe Photoshop
Advisor: Aswin Indraprastha
Jury: M. Donny Koerniawan & Heru W. Poerbo
This thesis delves into the challenges, methodologies, and solutions associated with the design of a transit hub (TH) in Jakarta that integrates both public transportation and public spaces (PS). A Dynamic Multi-Layer (DML) method addresses these intricate challenges by examining traffic density, simulating pedestrian movements, and optimizing for multiple objectives, such as minimizing distance to PS and reducing the total number of PS. The ultimate solution serves as a blueprint for the TH design, emphasizing human mobility, connectivity, and greenery.
Design
More: Design
Cross-section: West-to-east axis (Section A-A)
Cross-section: South-to-north axis (Section B-B)
A perspective showing activities in green spaces and the extraction of major axis shapes from patterns using the Dynamic Multi-Layer (DML) method (explained on the following pages).
Research
More: Research
DML method framework. These are: traffic analysis (1), dynamic crowd modeling (2), the smoothing and simplification of multiple paths (3), multi-objective optimization (4 and 5), and solution clustering and selection (6).
Aggregated results from agent-based simulations in Iterations 1, 2, and 3, illustrating crowd movement in the virtual environment.
A method for clustering the set of solutions into the best solution. It is called the Selection Clustering (SC) method.
Best solution – Gen47 Idv30.
Media
