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At least 19 records

New York State Climate Impacts Assessment Chapter 01: Introduction

Abstract New York State's climate is changing. Temperatures are rising, precipitation is increasing, sea levels are rising, and extreme weather events are becoming more frequent and severe. Over time, these changes are projected to worsen. The New York State Climate Impacts Assessment provides a science‐based analysis of what to expect from climate change in New York. Working with partners across the state, the team assembled to produce this assessment reviewed the latest science and modeling to project and characterize what New York State's climate is likely to look like in the future and how this will affect natural systems, society, and various sectors of the economy. The assessment will enable decision‐makers at all levels—from individual residents, businesses, and landowners to municipal and state government agencies—to better understand and make informed choices about how to plan and prepare for climate change.

Science & Technology - Other Topics↗

Exploring Nonmotorized Travel in New York State Using 2017 National Household Travel Survey Data

This report presents systematic analysis of nonmotorized travel behavior within New York State (NYS) utilizing 2017 National Household Travel Survey data. As walking and biking assume increasingly prominent roles in advancing active transportation objectives, accessible mobility, and sustainable transportation systems, comprehensive understanding of these modal patterns becomes essential for evidence-based policy development and strategic planning initiatives. Recognizing the substantial geographic, demographic, and socioeconomic heterogeneity characterizing NYS—spanning from the concentrated urban fabric of New York City (NYC) to dispersed suburban and rural contexts—this analysis employs the structured "4Ws" analytical framework to examine participant demographics, spatial and temporal distributions, and motivational factors underlying active transportation choices relative to motorized alternatives. This methodological approach captures modal behavior patterns, user characteristics, trip purposes, and temporal variations across the state's diverse contexts. Additionally, the research examines behavioral differences among distinct user classifications, including walk-only and bike-only travelers, while conducting comparative analysis of nonmotorized travel patterns between ALICE (Asset Limited, Income Constrained, Employed) and non-ALICE household categories.

99 GENERAL AND MISCELLANEOUS↗

Evaluating Compliance Inspection Data to Understand Emissions from Marginal Conventional Oil & Gas Wells in New York State

It is estimated that over half (~66%) of active oil and gas wells are marginally productive, producing less than 15 barrels of oil equivalent per day. This presentation showcases an evaluation of New York State compliance inspection reports and discusses the current capabilities of machine learning to identify high-risk MCWs that could be targeted during methane emission reduction efforts and future model deployments. Findings are valuable to the New York Department of Environmental Conservation and other state oil and gas regulatory agencies seeking to prioritize the spending of Methane Emission Reduction Program funds to plug marginal conventional wells with emissions.

compliance inspection data↗

Travel Patterns and Characteristics of Population in Rural Areas of New York State

Travel activities in rural communities tend to be reliant on personal vehicles due to limited public transportation options and long distances to essential services, with demographic factors such as age and income level influencing travel patterns. Addressing transportation challenges in rural New York State (NYS) necessitates an understanding of demographic trends and travel behaviors. This study examines rural households and populations by studying their demographics, mobility patterns, perspectives on transportation services, and how COVID-19 has influenced their transportation-related behaviors.

99 GENERAL AND MISCELLANEOUS↗

Travel Patterns and Characteristics of Millennial Population in New York State

This study investigates the travel behaviors, demographics, and transportation preferences of millennials (born 1981–1996), a generation that significantly influences urban living and mobility trends. Using data from the National Household Travel Survey (2009, 2017, and 2022) and other sources, this study examines key factors such as trip rates, trip length, travel modes, trip purposes, and travel time while also analyzing the effects of transportation technologies and COVID-19 on millennials’ travel behaviors in New York State (NYS). Additionally, travel patterns of millennials are compared with those of younger (i.e., Gen Z) and older (i.e., Gen X and baby boomer) generations across different geographical regions in NYS (e.g., New York City).

99 GENERAL AND MISCELLANEOUS↗

Analyzing Trip Chaining Behavior in New York State Using 2009 and 2017 National Household Travel Survey

Trip chaining, defined as the sequential linking of trips by individuals throughout a given day, provides critical insights into daily mobility patterns and activity sequencing. Understanding these patterns has significant implications for transportation demand forecasting, congestion management, and local economic activity. This analysis examines trip chaining behaviors in New York State (NYS) for the years 2009 and 2017 and compares the Middle Atlantic Census Division with other U.S. regions in 2022, utilizing data from the National Household Travel Survey (NHTS). Through demographic, geographic, and temporal analysis, this study characterizes how populations organize travel for work, personal errands, and social activities, providing empirical evidence of evolving trip chaining behaviors to inform transportation planning strategies.

99 GENERAL AND MISCELLANEOUS↗

Travel Patterns and Characteristics of the Population from Zero Vehicle Households in New York State

This study explores how zero vehicle and vehicle deficit (i.e., fewer cars than licensed drivers) households manage their daily travel needs and overall mobility decisions. Using the 2009, 2017, and 2022 National Household Travel Survey, the research team investigates key patterns such as trip rates, trip distances, travel modes, and trip purposes, as well as evaluates the impact of information and communication technologies like online shopping and telework. Additionally, the team evaluates how the COVID-19 pandemic has influenced travel behavior, with a focus on New York State, where a significant number of zero vehicle and vehicle deficit households offer unique perspectives on the challenges and opportunities associated with limited vehicle access.

99 GENERAL AND MISCELLANEOUS↗

New York State Household Travel Patterns: A Comprehensive Comparison Analysis

In 1969, the U.S. Department of Transportation began an initiative to collect detailed data on household and personal travel, with the most recent surveys being the 2017 and 2022 National Household Travel Surveys. The primary goal of these surveys is to collect trip-based data on the nature and characteristics of personal travel, allowing for an analysis of the relationships between travel patterns and the socio-economic and demographic characteristics of travelers and their households. In addition to the sample households allocated to New York State (NYS) in the national survey, they procured an additional sample of households in the 1995, 2001, 2009, and 2017 surveys. This report presents a comprehensive analysis of travel patterns, vehicle ownership trends, and travel behaviors across NYS regions and the rest of the nation.

99 GENERAL AND MISCELLANEOUS↗

Resource Assessment Study of Long Island Sound Tidal Resource in New York State Waters Based on Numerical Modeling (Abstract)

To refine the understanding of the tidal energy resource in Long Island Sound (LIS), Verdant Power and PNNL will collaborate to conduct a numerical modeling campaign in accordance with a Stage 2 resource assessment according to IEC TC 62600-201. The work will develop a high resolution tidal hydrodynamic model using FVCOM in LIS, validate the model using NOAA C-MIST ADCP data, and conduct a Stage 2 array layout design study at selected hotspots within the project area. The teams will also model tidal energy extraction using the FVCOMTEC module at the hotspot sites, based on specific device technologies provided by Verdant Power. Model results from this study will inform additional resource assessment activities such as in situ water velocity measurements for further model validation and elucidate understanding of other key sites in Long Island Sound for commercial-scale tidal energy deployments.

16 TIDAL AND WAVE POWER↗

Wastewater Surveillance for Poliovirus in Selected Jurisdictions, United States, 2022–2023

Wastewater testing can inform public health action as a component of polio outbreak response. During 2022-2023, a total of 7 US jurisdictions (5 states and 2 cities) participated in prospective or retrospective testing of wastewater for poliovirus after a paralytic polio case was identified in New York state. Two distinct vaccine-derived poliovirus type 2 viruses were detected in wastewater from New York state and New York City during 2022, representing 2 separate importation events. Of those viruses, 1 resulted in persistent community transmission in multiple New York counties and 1 paralytic case. No poliovirus was detected in the other participating jurisdictions (Connecticut, New Jersey, Michigan, and Illinois and Chicago, IL). The value of routine wastewater surveillance for poliovirus apart from an outbreak is unclear. However, these results highlight the ongoing risk for poliovirus importations into the United States and the need to identify undervaccinated communities and increase vaccination coverage to prevent paralytic polio.

60 APPLIED LIFE SCIENCES↗

AmeriFlux US-NYa NYSM - Voorheesville

This is the AmeriFlux version of the carbon flux data for the site US-NYa NYSM - Voorheesville. Site Description - Located in an orchard/vineyard setting. It is an open area surrounded by orchards and some larger trees. Obstructions within 100m include some orchards/trees. The soil type is chenango gravelly silt loam, loamy substratum. This site is a part of the New York State Mesonet Flux Network, one of multiple subnetworks (e.g. Profiler, Snow) operated by the New York State Mesonet. It also operates as a Standard meteorological site.

Miller, Scott [University at Albany]↗

AmeriFlux US-NYb NYSM - Schuylerville

This is the AmeriFlux version of the carbon flux data for the site US-NYb NYSM - Schuylerville. Site Description - Located in a grassy field/canal setting. It is in an open field surrounded by trees, right next to the river. Obstructions within 100m include trees, river. The soil type is Teel silt loam. This site is a part of the New York State Mesonet Flux Network, one of multiple subnetworks (e.g. Profiler, Snow) operated by the New York State Mesonet. It also operates as a Standard meteorological site.

Miller, Scott [University at Albany]↗

AmeriFlux US-NYc NYSM - Whitehall

This is the AmeriFlux version of the carbon flux data for the site US-NYc NYSM - Whitehall. Site Description - Located in a grassy field/canal setting. It is an open grassy area with trees and water nearby to the west. Obstructions within 100m include trees, canal. The soil type is Kingsbury silty clay. This site is a part of the New York State Mesonet Flux Network, one of multiple subnetworks (e.g. Profiler, Snow) operated by the New York State Mesonet. It also operates as a Standard meteorological site.

Miller, Scott [University at Albany]↗

AmeriFlux US-NYd NYSM - Red Hook

This is the AmeriFlux version of the carbon flux data for the site US-NYd NYSM - Red Hook. Site Description - Located in an grass/orchard setting. It is in an open area next to the school fields with some trees nearby. Obstructions within 100m include small trees. The soil type is Haven loam. This site is a part of the New York State Mesonet Flux Network, one of multiple subnetworks (e.g. Profiler, Snow) operated by the New York State Mesonet. It also operates as a Profiler and Standard meteorological site.

Miller, Scott [University at Albany]↗

AmeriFlux US-NYe NYSM - Ontario

This is the AmeriFlux version of the carbon flux data for the site US-NYe NYSM - Ontario. Site Description - Located in an orchard setting. It is in an open grassy area near vineyard/orchard, small pond to the south. Obstructions within 100m include orchard/vineyard, small pond. The soil type is loam. This site is a part of the New York State Mesonet Flux Network, one of multiple subnetworks (e.g. Profiler, Snow) operated by the New York State Mesonet. It also operates as a Profiler and Standard meteorological site.

Miller, Scott [University at Albany]↗

AmeriFlux US-NYf NYSM - Burt

This is the AmeriFlux version of the carbon flux data for the site US-NYf NYSM - Burt. Site Description - Located in a vineyard/crop field setting. It is in an opening in a vineyard with a crop field to the north. Obstructions within 100m include vineyards. The soil type is Niagara silt loam. This site is a part of the New York State Mesonet Flux Network, one of multiple subnetworks (e.g. Profiler, Snow) operated by the New York State Mesonet. It also operates as a Standard meteorological site.

Miller, Scott [University at Albany]↗

AmeriFlux US-NYg NYSM - Chazy

This is the AmeriFlux version of the carbon flux data for the site US-NYg NYSM - Chazy. Site Description - Located in a crop field setting. It is small open area in an overgrown field. Obstructions within 100m include high vegetation. The soil type is Malone gravelly loam, very stony. This site is a part of the New York State Mesonet Flux Network, one of multiple subnetworks (e.g. Profiler, Snow) operated by the New York State Mesonet. It also operates as a Profiler and Standard meteorological site.

Miller, Scott [University at Albany]↗

AmeriFlux US-NYh NYSM - Owego

This is the AmeriFlux version of the carbon flux data for the site US-NYh NYSM - Owego. Site Description - Located in a grassy field setting. It is surrounded by a flat, open field with some trees and a pond to the north. Obstructions within 100m include small trees, small pond, pavement. The soil type is Volusia channery silt loam. This site is a part of the New York State Mesonet Flux Network, one of multiple subnetworks (e.g. Profiler, Snow) operated by the New York State Mesonet. It also operates as a Profiler and Standard meteorological site.

Miller, Scott [University at Albany]↗