Nimish Biloria
Biographic Data
| ID | 4418295 |
|---|---|
| NAME | Nimish Biloria |
| GIVEN NAMES | Nimish |
| FAMILY NAME | Biloria |
| SIGNATURE | BILORIA N |
| AFFILIATIONS | Delft University of Technology |
| ORCID | 0000-0003-3152-5187 |
| VERIFIED | Yes |
| TOTAL WORKS | 8 |
| TOTAL CITATIONS | 1 |
| AUTHOR COUNT | 8 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
Implications of Artificial Intelligence for Assessing the Built Environment
Quantifying Quality: Numerical Representations of Subjective Perceptions of Urban Space
The quality of urban space influences the sustainability of cities and the well-being of their inhabitants, but quantifying this attribute through numerical representations of urban conditions has proved difficult in urban planning. This article describes how integrating qualitative and quantitative datasets through analytical and generative methods can enhance the comprehension and evaluation of urban space quality. Focusing on the city of Sydne…
A data-driven multi-objective approach to improving the quality of the urban space: The character of Sydney's public domain
Analyzing the age-friendliness of the urban environment using computer vision methods
The accelerated growth of cities and urban populations over recent decades and the complexity and diversity of urban areas demands proficient spatial affordance assessment especially for the vulnerable sections of the society. Lately machine learning and computer vision models have become highly competent in analyzing urban images for assessing the built environment. This study harnesses the potential of computer vision techniques to assess the a…
Analysing the relationship between POI density and stimulus complexity in the urban environment
The complexity of an environment is an important factor related to the quality of urban life, as it affects perception. Existing methods for estimating complexity from images or field visits are helpful but difficult to apply when the area of interest is large. This study identifies alternative ways of estimating the complexity of an environment, by analysing the density of Points of Interest (POI) of an area and using it as an indicator of mixed…
Implementing UVEs
This chapter introduces unconventional virtual environments (UVEs) in the context of this research. The characteristics, types and parameters of UVEs are defined. Moreover, the role of experience and its efficacy on idea expansion and divergent thinking are also discussed in this Chapter. The brain possesses existing knowledge of architectural space, styles and physical world. By exposure to UVE, previously unknown data feed can be added to this …
Differences in human perception
Spatial navigation involves dynamic and intricate brain functions, fundamentally required to locate oneself in space, which is vital for any human’s survival in their daily life. Sensorimotor abilities are quintessential for spatial navigation wherein subjects associate external sensory stimuli with sensori commands. Individuals for instance process external stimiuli such as buildings in the environment and pathways between the buildings and inte…
D vs. 3D
One of the main targets of this research is to find methods and tools for enhancing creativity. This chapter compares the results of an experiment focusing on the starting phase of a design process from two different dimensions: analogue 2D vs. digital 3D. The experiment involves providing the same design task to a group of students using two different starting points: first, with a lower dimension of analogue 2D (pen and paper) and the next time…
Implementing UVEs
This chapter introduces unconventional virtual environments (UVEs) in the context of this research. The characteristics, types and parameters of UVEs are defined. Moreover, the role of experience and its efficacy on idea expansion and divergent thinking are also discussed in this Chapter. The brain possesses existing knowledge of architectural space, styles and physical world. By exposure to UVE, previously unknown data feed can be added to this …
Differences in human perception
Spatial navigation involves dynamic and intricate brain functions, fundamentally required to locate oneself in space, which is vital for any human’s survival in their daily life. Sensorimotor abilities are quintessential for spatial navigation wherein subjects associate external sensory stimuli with sensori commands. Individuals for instance process external stimiuli such as buildings in the environment and pathways between the buildings and inte…
D vs. 3D
One of the main targets of this research is to find methods and tools for enhancing creativity. This chapter compares the results of an experiment focusing on the starting phase of a design process from two different dimensions: analogue 2D vs. digital 3D. The experiment involves providing the same design task to a group of students using two different starting points: first, with a lower dimension of analogue 2D (pen and paper) and the next time…
Analysing the relationship between POI density and stimulus complexity in the urban environment
The complexity of an environment is an important factor related to the quality of urban life, as it affects perception. Existing methods for estimating complexity from images or field visits are helpful but difficult to apply when the area of interest is large. This study identifies alternative ways of estimating the complexity of an environment, by analysing the density of Points of Interest (POI) of an area and using it as an indicator of mixed…
Analyzing the age-friendliness of the urban environment using computer vision methods
The accelerated growth of cities and urban populations over recent decades and the complexity and diversity of urban areas demands proficient spatial affordance assessment especially for the vulnerable sections of the society. Lately machine learning and computer vision models have become highly competent in analyzing urban images for assessing the built environment. This study harnesses the potential of computer vision techniques to assess the a…
Implications of Artificial Intelligence for Assessing the Built Environment
Quantifying Quality: Numerical Representations of Subjective Perceptions of Urban Space
The quality of urban space influences the sustainability of cities and the well-being of their inhabitants, but quantifying this attribute through numerical representations of urban conditions has proved difficult in urban planning. This article describes how integrating qualitative and quantitative datasets through analytical and generative methods can enhance the comprehension and evaluation of urban space quality. Focusing on the city of Sydne…
A data-driven multi-objective approach to improving the quality of the urban space: The character of Sydney's public domain
Computer Science (6 works) · Psychology (4 works) · Artificial Intelligence (3 works) · Creativity (3 works) · Perception (3 works) · Social Psychology (3 works) · Architecture (2 works) · Engineering (2 works) · Human–computer interaction (2 works) · Land Use and Ecosystem Services (2 works)