Evidence map›Paper›PMID 33669385›Full record

ArticleInternational journal of environmental research and public health2021

A Carbon Emission Calculation Model for Roadside Parking.

Wei Wang, Hongming Zhong, Yu Zeng, Yachao Liu, Jun Chen

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Impacts of Autonomous Vehicles on Greenhouse Gas Emissions-Positive or Negative?International journal of environmental research and public health · 2021
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Wei WangSchool of Transportation, Southeast University, Nanjing 211189, China.
Hongming ZhongSchool of Transportation, Southeast University, Nanjing 211189, China.ORCID 0000-0003-4168-6937
Yu ZengSchool of Transportation, Southeast University, Nanjing 211189, China.
Yachao LiuSchool of Transportation, Southeast University, Nanjing 211189, China.
Jun ChenSchool of Transportation, Southeast University, Nanjing 211189, China.ORCID 0000-0003-2360-3712

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the sustained and rapid development of China's national economy, the number of motor vehicles owned by families in cities is rapidly growing. Consequently, problems of traffic congestion and air pollution have also appeared in these cities. Roadside parking traffic has also become an important part of the transportation system in cities. However, there is no specific measurement model for carbon emissions caused by roadside parking in the proposed traffic carbon emission model. Therefore, we aim to establish a carbon emission measurement model for roadside parking. In this paper, we first study the characteristics of the deceleration and maneuvering of parking vehicles and the blocking impact on running vehicles in a typical roadside parking scenario. We then establish and fit models of the direct and indirect carbon emissions during roadside parking. Based on the carbon emission model, we propose a calculation method for roadside parking carbon emissions, including accounting and estimation methods. These models can be used to calculate the carbon emissions from roadside parking in a traffic carbon emissions system. We also hope that these models will help future research on the optimization of roadside parking facilities for energy saving and emission reduction.

Indexed as

Air PollutantsAir PollutionCarbonCitiesEnvironmental MonitoringHumansVehicle EmissionsAir PollutantsCarbonVehicle Emissionscarbon emissionsmodelroadside parking

Identifiers

PMID33669385
PMCPMC7920293

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.