Rishee K Jain
Biographic Data
| ID | 9441108 |
|---|---|
| NAME | Rishee K Jain |
| GIVEN NAMES | Rishee K |
| FAMILY NAME | Jain |
| SIGNATURE | JAIN R K |
| AFFILIATIONS | Stanford University |
| ORCID | 0000-0002-0568-032X |
| VERIFIED | Yes |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 6 |
| AUTHOR COUNT | 7 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2015 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Building energy consumption and urban form
Buildings are a main contributor to global energy consumption, with urban form significantly affecting their energy use. To quantify these effects, many studies relied on simulated data for limited buildings or empirical data at coarse temporal scales (monthly or yearly). However, few studies conducted large-scale empirical analyses of hourly consumption. In this paper, we empirically evaluate the impacts of urban form on energy consumption acros…
Quantifying the pedestrian access potential of suburban street network retrofits
The United States largely depends on the automobile for personal transportation. This dominance has significant consequences for society over a range of issues, including the environment, public safety, public health, and equity. The issues associated with the dominance of the automobile are most pressing in the suburbs due to their size and curvilinear street network patterns. Thus, any effort to address the negative consequences of automobile d…
A barrier too far
For a variety of environmental, health, and social reasons, there is a pressing need to reduce the automobile dependence of American cities. Bicycles are well suited to help achieve this goal. However, perceptions of rider safety present a large hindrance toward increased bicycle adoption. These perceptions are largely influenced by the design of our current road infrastructure, including the crossing distances of large intersections. In this pap…
Invisible walls
Context-aware Urban Energy Analytics (CUE-A)
One approach does not fit all (smart) cities
Modeling the determinants of large-scale building water use
Modeling the determinants of large-scale building water use
One approach does not fit all (smart) cities
Context-aware Urban Energy Analytics (CUE-A)
A barrier too far
For a variety of environmental, health, and social reasons, there is a pressing need to reduce the automobile dependence of American cities. Bicycles are well suited to help achieve this goal. However, perceptions of rider safety present a large hindrance toward increased bicycle adoption. These perceptions are largely influenced by the design of our current road infrastructure, including the crossing distances of large intersections. In this pap…
Invisible walls
Quantifying the pedestrian access potential of suburban street network retrofits
The United States largely depends on the automobile for personal transportation. This dominance has significant consequences for society over a range of issues, including the environment, public safety, public health, and equity. The issues associated with the dominance of the automobile are most pressing in the suburbs due to their size and curvilinear street network patterns. Thus, any effort to address the negative consequences of automobile d…
Building energy consumption and urban form
Buildings are a main contributor to global energy consumption, with urban form significantly affecting their energy use. To quantify these effects, many studies relied on simulated data for limited buildings or empirical data at coarse temporal scales (monthly or yearly). However, few studies conducted large-scale empirical analyses of hourly consumption. In this paper, we empirically evaluate the impacts of urban form on energy consumption acros…
Engineering (6 works) · Computer Science (5 works) · Geography (5 works) · Building Energy and Comfort Optimization (4 works) · Civil engineering (4 works) · Environmental Science (4 works) · Noise Effects and Management (3 works) · Transport engineering (3 works) · Analytics (2 works) · Architectural engineering (2 works)