Evaluating the Determinants of Mode Choice Using Statistical and Machine Learning Techniques in the Indian Megacity of Bengaluru
Fuente:
arXiv
Saved in:
| Main Authors: | Ghosh, Tanmay, Nagaraj, Nithin |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Boundedly Rational Meta-Learning in Sequential Consumer Choice
by: Khosravi, Mehrzad, et al.
Published: (2026)
by: Khosravi, Mehrzad, et al.
Published: (2026)
Predicting Household Water Consumption Using Satellite and Street View Images in Two Indian Cities
by: Wang, Qiao, et al.
Published: (2025)
by: Wang, Qiao, et al.
Published: (2025)
Misaligned by Design: Incentive Failures in Machine Learning
by: Autor, David, et al.
Published: (2025)
by: Autor, David, et al.
Published: (2025)
Daily Forecasting for Annual Time Series Datasets Using Similarity-Based Machine Learning Methods: A Case Study in the Energy Market
by: Goldani, Mahdi
Published: (2025)
by: Goldani, Mahdi
Published: (2025)
Macroeconomic Predictions using Payments Data and Machine Learning
by: Chapman, James T. E., et al.
Published: (2022)
by: Chapman, James T. E., et al.
Published: (2022)
Machine Learning for Economic Forecasting: An Application to China's GDP Growth
by: Yang, Yanqing, et al.
Published: (2024)
by: Yang, Yanqing, et al.
Published: (2024)
The Effects of Flipped Classrooms in Higher Education: A Causal Machine Learning Analysis
by: Czarnowske, Daniel, et al.
Published: (2025)
by: Czarnowske, Daniel, et al.
Published: (2025)
Assessing the Heterogeneous Impact of Economy-Wide Shocks: A Machine Learning Approach Applied to Colombian Firms
by: Dueñas, Marco, et al.
Published: (2021)
by: Dueñas, Marco, et al.
Published: (2021)
Deep Learning in Renewable Energy Forecasting: A Cross-Dataset Evaluation of Temporal and Spatial Models
by: Sua, Lutfu, et al.
Published: (2025)
by: Sua, Lutfu, et al.
Published: (2025)
Machine Learning and Econometric Approaches to Fiscal Policies: Understanding Industrial Investment Dynamics in Uruguay (1974-2010)
by: Vallarino, Diego
Published: (2024)
by: Vallarino, Diego
Published: (2024)
Behavioral Machine Learning? Regularization and Forecast Bias
by: Frank, Murray Z., et al.
Published: (2023)
by: Frank, Murray Z., et al.
Published: (2023)
Semi-strong Efficient Market of Bitcoin and Twitter: an Analysis of Semantic Vector Spaces of Extracted Keywords and Light Gradient Boosting Machine Models
by: Wang, Fang, et al.
Published: (2024)
by: Wang, Fang, et al.
Published: (2024)
A Survey of Reinforcement Learning For Economics
by: Rawat, Pranjal
Published: (2026)
by: Rawat, Pranjal
Published: (2026)
Dual-Agent Deep Reinforcement Learning for Dynamic Pricing and Replenishment
by: Zheng, Yi, et al.
Published: (2024)
by: Zheng, Yi, et al.
Published: (2024)
A Machine Learning Algorithm for Finite-Horizon Stochastic Control Problems in Economics
by: Peng, Xianhua, et al.
Published: (2024)
by: Peng, Xianhua, et al.
Published: (2024)
A Comparative Study of Dynamic Programming and Reinforcement Learning in Finite Horizon Dynamic Pricing
by: Razumovskiy, Lev, et al.
Published: (2026)
by: Razumovskiy, Lev, et al.
Published: (2026)
LTPNet Integration of Deep Learning and Environmental Decision Support Systems for Renewable Energy Demand Forecasting
by: Li, Te, et al.
Published: (2024)
by: Li, Te, et al.
Published: (2024)
Machine Learning Classification and Portfolio Allocation: with Implications from Machine Uncertainty
by: Bai, Yang, et al.
Published: (2021)
by: Bai, Yang, et al.
Published: (2021)
Analyzing Country-Level Vaccination Rates and Determinants of Practical Capacity to Administer COVID-19 Vaccines
by: Hegde, Sharika J., et al.
Published: (2024)
by: Hegde, Sharika J., et al.
Published: (2024)
Machine learning and economic forecasting: the role of international trade networks
by: Silva, Thiago C., et al.
Published: (2024)
by: Silva, Thiago C., et al.
Published: (2024)
Unveiling Patterns in European Airbnb Prices: A Comprehensive Analytical Study Using Machine Learning Techniques
by: Pittala, Trinath Sai Subhash Reddy, et al.
Published: (2024)
by: Pittala, Trinath Sai Subhash Reddy, et al.
Published: (2024)
ESG Rating Disagreement and Corporate Total Factor Productivity:Inference and Prediction
by: Li, Zhanli, et al.
Published: (2024)
by: Li, Zhanli, et al.
Published: (2024)
Impact of COVID-19 on The Bullwhip Effect Across U.S. Industries
by: Saricioglu, Alper, et al.
Published: (2025)
by: Saricioglu, Alper, et al.
Published: (2025)
Predictive economics: Rethinking economic methodology with machine learning
by: Pereira, Miguel Alves
Published: (2025)
by: Pereira, Miguel Alves
Published: (2025)
Deep reinforced learning enables solving rich discrete-choice life cycle models to analyze social security reforms
by: Tanskanen, Antti J.
Published: (2020)
by: Tanskanen, Antti J.
Published: (2020)
Forecasting Residential Heating and Electricity Demand with Scalable, High-Resolution, Open-Source Models
by: Lee, Stephen J., et al.
Published: (2025)
by: Lee, Stephen J., et al.
Published: (2025)
E-commerce users' preferences for delivery options
by: Oyama, Yuki, et al.
Published: (2022)
by: Oyama, Yuki, et al.
Published: (2022)
Shifting Work Patterns with Generative AI
by: Dillon, Eleanor Wiske, et al.
Published: (2025)
by: Dillon, Eleanor Wiske, et al.
Published: (2025)
Investigation into U.S. Citizen and Non-Citizen Worker Health Insurance and Employment
by: Yao, Annabelle
Published: (2025)
by: Yao, Annabelle
Published: (2025)
Optimizing Supply Chain Networks with the Power of Graph Neural Networks
by: Chen, Chi-Sheng, et al.
Published: (2025)
by: Chen, Chi-Sheng, et al.
Published: (2025)
Invited to Develop: Institutional Belonging and the Counterfactual Architecture of Development
by: Vallarino, Diego
Published: (2025)
by: Vallarino, Diego
Published: (2025)
Neural Demand Estimation with Habit Formation and Rationality Constraints
by: Grzeskiewicz, Marta
Published: (2026)
by: Grzeskiewicz, Marta
Published: (2026)
Hedonic Prices and Quality Adjusted Price Indices Powered by AI
by: Bajari, Patrick, et al.
Published: (2023)
by: Bajari, Patrick, et al.
Published: (2023)
Feature-driven reinforcement learning for photovoltaic in continuous intraday trading
by: Abate, Arega Getaneh, et al.
Published: (2025)
by: Abate, Arega Getaneh, et al.
Published: (2025)
Pattern Recognition of Aluminium Arbitrage in Global Trade Data
by: Ramli, Muhammad Sukri Bin
Published: (2025)
by: Ramli, Muhammad Sukri Bin
Published: (2025)
Pattern Recognition of Scrap Plastic Misclassification in Global Trade Data
by: Ramli, Muhammad Sukri Bin
Published: (2025)
by: Ramli, Muhammad Sukri Bin
Published: (2025)
Solving Heterogeneous Agent Models with Physics-informed Neural Networks
by: Grzeskiewicz, Marta
Published: (2025)
by: Grzeskiewicz, Marta
Published: (2025)
The Adoption and Usage of AI Agents: Early Evidence from Perplexity
by: Yang, Jeremy, et al.
Published: (2025)
by: Yang, Jeremy, et al.
Published: (2025)
Modelling the Doughnut of social and planetary boundaries with frugal machine learning
by: Vrizzi, Stefano, et al.
Published: (2025)
by: Vrizzi, Stefano, et al.
Published: (2025)
Delphos: A reinforcement learning framework for assisting discrete choice model specification
by: Nova, Gabriel, et al.
Published: (2025)
by: Nova, Gabriel, et al.
Published: (2025)
Similar Items
-
Boundedly Rational Meta-Learning in Sequential Consumer Choice
by: Khosravi, Mehrzad, et al.
Published: (2026) -
Predicting Household Water Consumption Using Satellite and Street View Images in Two Indian Cities
by: Wang, Qiao, et al.
Published: (2025) -
Misaligned by Design: Incentive Failures in Machine Learning
by: Autor, David, et al.
Published: (2025) -
Daily Forecasting for Annual Time Series Datasets Using Similarity-Based Machine Learning Methods: A Case Study in the Energy Market
by: Goldani, Mahdi
Published: (2025) -
Macroeconomic Predictions using Payments Data and Machine Learning
by: Chapman, James T. E., et al.
Published: (2022)