Robert Kluger
Dados Biográficos
| ID | 6580754 |
|---|---|
| NOME | Robert Kluger |
| PRENOMES | Robert |
| SOBRENOME | Kluger |
| ASSINATURA | KLUGER R |
| AFILIAÇÕES | University of Louisville |
| ORCID | 0000-0002-2511-3410 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 5 |
| TOTAL DE CITAÇÕES | 2 |
| TOTAL COMO AUTOR | 5 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2021 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2026 |
| ÍNDICE H | 1 |
Estimating an e-scooter origin-destination model leveraging Yelp POI data for enhanced urban mobility insights
E-scooter sharing programs have transformed urban mobility, providing an environmentally friendly solution for short-distance travel. Analyzing Origin-Destination (OD) travel behavior associated with e-scooter trip patterns is essential for effective urban planning, infrastructure enhancement, and policymaking. However, while numerous studies exist on developing OD travel behavior for passenger vehicles, there is a significant gap in developing s…
Understanding shared micromobility travel patterns through a deep embedded clustering approach
Shared micromobility services are rapidly expanding across North America, driving the need for improved infrastructure and policy adaptation. Understanding the spatio-temporal travel patterns associated with shared micromobility is essential for effective urban planning and seamless integration into existing transportation networks. However, traditional travel behavior studies, which rely on costly and time-intensive surveys, often fail to captur…
A data-driven approach to estimating dockless electric scooter service areas
E-scooters and sustainability
Spatial analysis of shared e-scooter trips
E-scooters and sustainability
Spatial analysis of shared e-scooter trips
A data-driven approach to estimating dockless electric scooter service areas
Understanding shared micromobility travel patterns through a deep embedded clustering approach
Shared micromobility services are rapidly expanding across North America, driving the need for improved infrastructure and policy adaptation. Understanding the spatio-temporal travel patterns associated with shared micromobility is essential for effective urban planning and seamless integration into existing transportation networks. However, traditional travel behavior studies, which rely on costly and time-intensive surveys, often fail to captur…
Estimating an e-scooter origin-destination model leveraging Yelp POI data for enhanced urban mobility insights
E-scooter sharing programs have transformed urban mobility, providing an environmentally friendly solution for short-distance travel. Analyzing Origin-Destination (OD) travel behavior associated with e-scooter trip patterns is essential for effective urban planning, infrastructure enhancement, and policymaking. However, while numerous studies exist on developing OD travel behavior for passenger vehicles, there is a significant gap in developing s…
Urban Transport and Accessibility (5 obras) · Transportation and Mobility Innovations (4 obras) · Engineering (3 obras) · Geography (3 obras) · Transport engineering (3 obras) · TRIPS architecture (3 obras) · Business (2 obras) · Demographics (2 obras) · Demography (2 obras) · Human Mobility and Location-Based Analysis (2 obras)