Zachary Needell
Biographic Data
| ID | 6580234 |
|---|---|
| NAME | Zachary Needell |
| GIVEN NAMES | Zachary |
| FAMILY NAME | Needell |
| SIGNATURE | NEEDELL Z |
| AFFILIATIONS | Lawrence Berkeley National Laboratory |
| ORCID | 0000-0001-6190-5186 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 2 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Traffic, air quality, and health impacts resulting from transport interventions using a regional-scale agent-based transportation system model
Evaluating disease surveillance strategies for early outbreak detection in contact networks with varying community structure
Disease surveillance systems allow public health agencies to respond to emerging diseases before they become widespread. Developing such systems requires identifying optimal ways to monitor in the context of an epidemic outbreak; this problem is known as sensor selection. Contact networks represent the dynamics of interaction in a population and are used to model how a disease spreads in a population and to explore strategies of sensor selection.…
Micro Transit Simulation of On-Demand Shuttles Based on Transit Data for First- and Last-Mile Connection
We simulate the introduction of shared, automated, and electric vehicles (SAEVs) providing on-demand shuttles service in a large-scale transport digital twin of the San Francisco Bay Area region (California, USA) based on transit supply and demand data, and using the mesoscopic agent-based Behavior, Energy, Autonomy, and Mobility beta software (BEAM) developed at the Lawrence Berkeley National Laboratory (LBNL). The main goal of this study is to …
A methodology to develop a geospatial transportation typology
We introduce a methodology to develop a geo-typology (geotype) that categorizes each location in the United States in terms of their main drivers of transportation demand and supply. We develop the first comprehensive set of geotypes for both urban and rural areas across the entire United States. This typology is designed to facilitate national level modeling of multi-modal transportation system's response to alternative investment strategies dif…
A methodology to develop a geospatial transportation typology
We introduce a methodology to develop a geo-typology (geotype) that categorizes each location in the United States in terms of their main drivers of transportation demand and supply. We develop the first comprehensive set of geotypes for both urban and rural areas across the entire United States. This typology is designed to facilitate national level modeling of multi-modal transportation system's response to alternative investment strategies dif…
A methodology to develop a geospatial transportation typology
We introduce a methodology to develop a geo-typology (geotype) that categorizes each location in the United States in terms of their main drivers of transportation demand and supply. We develop the first comprehensive set of geotypes for both urban and rural areas across the entire United States. This typology is designed to facilitate national level modeling of multi-modal transportation system's response to alternative investment strategies dif…
Micro Transit Simulation of On-Demand Shuttles Based on Transit Data for First- and Last-Mile Connection
We simulate the introduction of shared, automated, and electric vehicles (SAEVs) providing on-demand shuttles service in a large-scale transport digital twin of the San Francisco Bay Area region (California, USA) based on transit supply and demand data, and using the mesoscopic agent-based Behavior, Energy, Autonomy, and Mobility beta software (BEAM) developed at the Lawrence Berkeley National Laboratory (LBNL). The main goal of this study is to …
Evaluating disease surveillance strategies for early outbreak detection in contact networks with varying community structure
Disease surveillance systems allow public health agencies to respond to emerging diseases before they become widespread. Developing such systems requires identifying optimal ways to monitor in the context of an epidemic outbreak; this problem is known as sensor selection. Contact networks represent the dynamics of interaction in a population and are used to model how a disease spreads in a population and to explore strategies of sensor selection.…
Traffic, air quality, and health impacts resulting from transport interventions using a regional-scale agent-based transportation system model
Computer Science (3 works) · Geography (3 works) · Transportation Planning and Optimization (3 works) · Artificial Intelligence (2 works) · Engineering (2 works) · Transport engineering (2 works) · Urban Transport and Accessibility (2 works) · Business (1 work) · Cartography (1 work) · Cluster analysis (1 work)