Literature DB >> 35910007

Assessing Neighborhood-scale Traffic from Crowd-sensed Traffic Data: Findings from an Environmental Justice Community in New York City.

Anisia Peters1,2, Diana Hernández3, Marianthi Kioumourtzoglou1, Mychal A Johnson4, Steven N Chillrud5, Markus Hilpert1.   

Abstract

Background: The waterfront in the South Bronx in New York City is used industrially and harbors the Harlem River Yards (HRY). The HRY borders an environmental justice area, which includes a mixed-use area that is separated from a densely populated residential area by interstates. Recently, development of the HRY has expanded including the 2018 opening of a large online store warehouse. Objective: The goal of this study was to evaluate trends in traffic congestion nearby the HRY between 2017 to 2019.
Methods: We analyzed one-hourly time series of crowd-sensed traffic congestion maps, both at the neighborhood scale and the road stretch level. Traffic radar measurements at two locations did not indicate bias in the crowd-sensed data over the study period, i.e., changed mappings between vehicle speed and the reported congestion.
Results: In the mixed-use areas, traffic congestion increased significantly during all hours of the day, with greatest increases at night and in the morning. Congestion increased close to the entrances of the HRY and along routes used by pedestrians and bicyclists to access a nearby recreational area. In the residential area, congestion increased significantly from midnight to morning and was unchanged for the remainder of the day. On the interstates, congestion decreased during the daytime but increased at night. Conclusions: Neighborhood-scale traffic congestion increased in mixed-use and residential areas in an environmental justice community. Our methods can be applied globally as long as crowd-sensed traffic data can be acquired. The data enable communities to advocate for mitigating measures.

Entities:  

Keywords:  Congestion; Crowd-sensed data; Crowd-sourced data; Environmental justice community; Google traffic data; Road traffic; Traffic radar

Year:  2022        PMID: 35910007      PMCID: PMC9328407          DOI: 10.1016/j.envsci.2022.03.010

Source DB:  PubMed          Journal:  Environ Sci Policy        ISSN: 1462-9011            Impact factor:   6.424


  15 in total

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Authors:  Aslak Fyhri; Gunn Marit Aasvang
Journal:  Sci Total Environ       Date:  2010-08-12       Impact factor: 7.963

Review 2.  Exposure to traffic-related air pollution and risk of development of childhood asthma: A systematic review and meta-analysis.

Authors:  Haneen Khreis; Charlotte Kelly; James Tate; Roger Parslow; Karen Lucas; Mark Nieuwenhuijsen
Journal:  Environ Int       Date:  2016-11-21       Impact factor: 9.621

3.  Short-term exposure to noise, fine particulate matter and nitrogen oxides on ambulatory blood pressure: A repeated-measure study.

Authors:  Li-Te Chang; Kai-Jen Chuang; Wei-Ting Yang; Ven-Shing Wang; Hsiao-Chi Chuang; Bo-Ying Bao; Chiu-Shong Liu; Ta-Yuan Chang
Journal:  Environ Res       Date:  2015-06-11       Impact factor: 6.498

4.  A new approach for inferring traffic-related air pollution: Use of radar-calibrated crowd-sourced traffic data.

Authors:  Markus Hilpert; Mychal Johnson; Marianthi-Anna Kioumourtzoglou; Arce Domingo-Relloso; Anisia Peters; Bernat Adria-Mora; Diana Hernández; James Ross; Steven N Chillrud
Journal:  Environ Int       Date:  2019-03-23       Impact factor: 9.621

5.  Ambient air pollution and the risk of acute ischemic stroke.

Authors:  Gregory A Wellenius; Mary R Burger; Brent A Coull; Joel Schwartz; Helen H Suh; Petros Koutrakis; Gottfried Schlaug; Diane R Gold; Murray A Mittleman
Journal:  Arch Intern Med       Date:  2012-02-13

Review 6.  Effect of outdoor air pollution on asthma exacerbations in children and adults: Systematic review and multilevel meta-analysis.

Authors:  Pablo Orellano; Nancy Quaranta; Julieta Reynoso; Brenda Balbi; Julia Vasquez
Journal:  PLoS One       Date:  2017-03-20       Impact factor: 3.240

7.  Opening a Large Delivery Service Warehouse in the South Bronx: Impacts on Traffic, Air Pollution, and Noise.

Authors:  Jenni A Shearston; A Mychal Johnson; Arce Domingo-Relloso; Marianthi-Anna Kioumourtzoglou; Diana Hernández; James Ross; Steven N Chillrud; Markus Hilpert
Journal:  Int J Environ Res Public Health       Date:  2020-05-05       Impact factor: 3.390

8.  Traffic congestion prediction based on Estimated Time of Arrival.

Authors:  Noureen Zafar; Irfan Ul Haq
Journal:  PLoS One       Date:  2020-12-16       Impact factor: 3.240

9.  Social-distancing fatigue: Evidence from real-time crowd-sourced traffic data.

Authors:  Jenni A Shearston; Micaela E Martinez; Yanelli Nunez; Markus Hilpert
Journal:  Sci Total Environ       Date:  2021-06-08       Impact factor: 10.753

10.  Beyond Commuting: Ignoring Individuals' Activity-Travel Patterns May Lead to Inaccurate Assessments of Their Exposure to Traffic Congestion.

Authors:  Junghwan Kim; Mei-Po Kwan
Journal:  Int J Environ Res Public Health       Date:  2018-12-30       Impact factor: 3.390

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