Brian Bidolli
Biographic Data
| ID | 6931343 |
|---|---|
| NAME | Brian Bidolli |
| GIVEN NAMES | Brian |
| FAMILY NAME | Bidolli |
| SIGNATURE | BIDOLLI B |
| AFFILIATIONS | Technische Universität Berlin |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Evaluating the Drivers of Willingness to Pay for Stormwater Fees Using Machine Learning Analysis of Citizen Perceptions and Attitudes
Urban stormwater management presents significant challenges for municipalities seeking to balance environmental resilience with financial considerations and social equity. This study investigates the factors shaping residents’ willingness to pay (WTP) for a proposed stormwater management fee in Norwalk, Connecticut, within the context of local sustainability plans. A survey of 457 residents assessed demographics, personal beliefs, perceptions of …
Analyzing Citizens’ Perception and Attitudes Towards Housing Development in Norwalk Through SEM and Machine Learning Methods
This study analyzed citizens’ subjective perceptions and attitudes toward housing development in Norwalk, Connecticut, employing structural equation modeling (SEM) and machine learning techniques. A survey of 580 residents was conducted to study the relationship between the willingness to buy or rent from housing projects in Norwalk and perceptions of risks, benefits, and sustainability beliefs. SEM identified latent variables influencing attitud…
No prominent works on this page.
Analyzing Citizens’ Perception and Attitudes Towards Housing Development in Norwalk Through SEM and Machine Learning Methods
This study analyzed citizens’ subjective perceptions and attitudes toward housing development in Norwalk, Connecticut, employing structural equation modeling (SEM) and machine learning techniques. A survey of 580 residents was conducted to study the relationship between the willingness to buy or rent from housing projects in Norwalk and perceptions of risks, benefits, and sustainability beliefs. SEM identified latent variables influencing attitud…
Evaluating the Drivers of Willingness to Pay for Stormwater Fees Using Machine Learning Analysis of Citizen Perceptions and Attitudes
Urban stormwater management presents significant challenges for municipalities seeking to balance environmental resilience with financial considerations and social equity. This study investigates the factors shaping residents’ willingness to pay (WTP) for a proposed stormwater management fee in Norwalk, Connecticut, within the context of local sustainability plans. A survey of 457 residents assessed demographics, personal beliefs, perceptions of …
Baseline (sea (1 work) · Context (archaeology (1 work) · Descriptive statistics (1 work) · Economic and Environmental Valuation (1 work) · Green infrastructure (1 work) · Housing Market and Economics (1 work) · Human Mobility and Location-Based Analysis (1 work) · Korean Urban and Social Studies (1 work) · Perception (1 work) · Psychology (1 work)