2022
DOI: 10.3390/ijerph191811667
|View full text |Cite
|
Sign up to set email alerts
|

Emission Estimation of On-Demand Meal Delivery Services Using a Macroscopic Simulation

Abstract: While macroscopic simulations of passenger vehicle traffic within cities are now common practice, the integration of last mile delivery into a macroscopic simulation to evaluate the emissions has seldomly been achieved. In fact, studies focusing solely on last mile delivery generally focus on evaluating the delivery service itself. This ignores the effect the delivery service may have on the traffic flow in cities, and therefore, on the resulting emissions. This study fills this gap by presenting the results o… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
6
1

Year Published

2023
2023
2024
2024

Publication Types

Select...
6
1
1

Relationship

1
7

Authors

Journals

citations
Cited by 11 publications
(7 citation statements)
references
References 33 publications
0
6
1
Order By: Relevance
“…The number of people living in proximity to jobs is calculated similarly to O n in Equation ( 19), but it is normalized by the total number of jobs and a number P a is derived, characterizing all the network N; see Equation (21). P a is calculated as an integral equation, because the jobs are distributed in the territory and situations occur where only part of jobs can be reached in a specified distance.…”
Section: The Micro-scale Origin-destination Methods For Forecasting B...mentioning
confidence: 99%
See 1 more Smart Citation
“…The number of people living in proximity to jobs is calculated similarly to O n in Equation ( 19), but it is normalized by the total number of jobs and a number P a is derived, characterizing all the network N; see Equation (21). P a is calculated as an integral equation, because the jobs are distributed in the territory and situations occur where only part of jobs can be reached in a specified distance.…”
Section: The Micro-scale Origin-destination Methods For Forecasting B...mentioning
confidence: 99%
“…This situation can be attributed to traditional transport planning methods that calculate traffic flows between transportation districts without considering local street segment-level changes, but traditional methods are not sensible to micro-level or pathway segment-level changes. The present generation of traffic planners often relies on macro-level data, despite advancements in processing speed and data capacity [19][20][21][22]. Micro-simulation, typically performed with software such as PTV VISIM, analyses changes in existing traffic flows, link delays, volumes, and traffic light phases [23,24], but often fails to provide detailed predictions at the neighborhood level.…”
Section: Introductionmentioning
confidence: 99%
“…The research on air pollution caused by transport is vast, from the simple bio-indicators which estimate the distribution of air pollution in cities [18] to policies (e.g., [6]) and technologies aimed at reducing overall emissions (e.g., [5]), such as electric vehicles (e.g., [3,19]). In addition to the simulation of emissions caused by transport activities (e.g., [21,22]), there is the added complication of associated activities, such as emissions from road maintenance (e.g., [23]). While most of the research into urban traffic emission reduction focuses on surface travel, researchers have also begun to consider the effect of the emissions caused by landing and departing aircraft adjacent to cities, which inflate the urban emissions statistics [20].…”
Section: Emissionsmentioning
confidence: 99%
“…Some environmental impacts are local, regional, or global and can be short-and long-term. Macroscale emission models allow transport impacts to be determined on a large regional scale (regional transport corridors) [66,67].…”
Section: Macroscopic Emission Modelsmentioning
confidence: 99%