Elsevier

Multimodal Transportation Template

Write in a clean editor, then format for Multimodal Transportation in one click — DocuGuru applies the official Elsevier template with numbered references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.

About the Multimodal Transportation format

Multimodal Transportation is a peer-reviewed journal published by Elsevier, covering Transportation Planning and Optimization, Transportation and Mobility Innovations, Urban Transport and Accessibility.

PublisherElsevier
Reference styleNumbered (Elsevier)
Numbered — [1], [2] in the text
[1] A. Smith, B. Jones, C. Lee, A representative article title, Multimodal Transportation 12 (2023) 45–58.

Formats any DOI in Multimodal Transportation style. No sign-up.

Publishes research inTransportation Planning and Optimization Transportation and Mobility Innovations Urban Transport and Accessibility Traffic Prediction and Management Techniques Traffic and Road Safety
ISSN2772-5863
Citation impact (2-yr)4.99
h-index29
i10-index76
Total citations2,391
Article processing charge$1,250
Open accessYes
Top institutions publishing hereSoutheast University
You getA submission-ready PDF and the editable LaTeX source — ready to submit.

Papers published in Multimodal Transportation per year

40
2022
27
2023
45
2024
71
2025

Citation impact of Multimodal Transportation by publication year

1.3K
2022
360
2023
353
2024
326
2025

Citations each year’s papers have accumulated so far — the most recent years are still building up.

Most-cited papers in Multimodal Transportation

Promoting the integrated use of bikeshare and metro: A focus on the nonlinearity of built environment effects

Long Cheng, Tanhua Jin, Kailai Wang et al. · 1 Mar 2022

Bikeshare offers a flexible feeder mode to metro and improves the overall connectivity of urban public transport systems. Although bikeshare has received much research attention, the relationship between the built environment and bikeshare-metro integrated use (i.e. the use of bikeshare for the first/last mile) remains underexplored. Using a one-month dataset of bikeshare trip records in…

Flow-level coordination of connected and autonomous vehicles in multilane freeway ramp merging areas

Jie Zhu, Ivana Tasic, Xiaobo Qu · 1 Mar 2022

On-ramp merging areas are deemed to be typical bottlenecks for freeway networks due to the intensive disturbances induced by the frequent merging, weaving, and lane-changing behaviors. The Connected and Autonomous Vehicles (CAVs), benefited from their capabilities of real-time communication and precise motion control, hold an opportunity to promote ramp merging operation through enhanced cooperation. The…

Individual mobility prediction review: Data, problem, method and application

Zhenliang Ma, Pengfei Zhang · 1 Mar 2022

The ‘sharing’ business models and on-demand services have been altering city dwellers’ travel habits from buying the means of transport to buying mobility services based on needs. The capability to proactively provide personalized services (e.g., travel recommendations and dynamic pricing) is the future of smart multimodal mobility systems, in which the individual mobility prediction technique…

A two-stage stochastic programming model of coordinated electric bus charging scheduling for a hybrid charging scheme

Di Huang, Shuaian Wang · 1 Mar 2022

This paper proposes a coordinated charging scheduling approach for battery electric buses (BEBs) in a hybrid charging scheme, i.e., both plug-in fast charging and battery-swapping charging modes are incorporated in a single charging station. To accommodate the uncertain battery energy consumption during bus operation, a two-stage stochastic program is formulated, where the first stage decision…

A meso-to-macro cross-resolution performance approach for connecting polynomial arrival queue model to volume-delay function with inflow demand-to-capacity ratio

Xuesong Zhou, Qixiu Cheng, Xin Wu et al. · 17 May 2022

Although the macroscopic volume-delay function (VDF) has been widely used in static traffic assignment for transportation planning, the planning community has long recognized its deficiencies as a static function in capturing traffic flow dynamics and queue evolution process. In the existing literature, many queueing-based and simulation-based dynamic traffic assignment (DTA) models involving various traffic flow…

Multimodal Transportation template — frequently asked questions

How do I write a paper in the Multimodal Transportation format?
In DocuGuru you write your manuscript in a normal editor — no LaTeX setup required — and select the Multimodal Transportation template. When you export, DocuGuru compiles the paper into the official Elsevier format and hands you a submission-ready PDF along with the editable LaTeX source.
What reference style does Multimodal Transportation use?
Multimodal Transportation uses Numbered (Elsevier) references, shown as numbered [1], [2] markers in the text. DocuGuru formats every in-text citation and the reference list in this exact style automatically. A reference appears like this: [1] A. Smith, B. Jones, C. Lee, A representative article title, Multimodal Transportation 12 (2023) 45–58.
Do I need to know LaTeX to submit to Multimodal Transportation?
No. DocuGuru generates the elsarticle LaTeX class and compiles the PDF for you in the background, so you get a Elsevier-ready Multimodal Transportation document without writing any LaTeX. If you do want it, the LaTeX source is included in the export.
Can I import an existing draft into the Multimodal Transportation template?
Yes. Paste or upload your current manuscript — Word, LaTeX, Markdown, or plain text — and DocuGuru reflows it into the Multimodal Transportation format with correct headings, figures, tables, and numbered citations.
Who publishes Multimodal Transportation?
Multimodal Transportation is a multidisciplinary journal published by Elsevier. DocuGuru's Multimodal Transportation template matches Elsevier's official submission format.
Can I export a submission-ready Multimodal Transportation PDF?
Yes — DocuGuru produces a PDF built with the official Multimodal Transportation template (the elsarticle class) that is ready to submit to Elsevier, together with the matching LaTeX source files.
How much does the Multimodal Transportation template cost?
You can start writing in the Multimodal Transportation template for free. Exporting the final submission-ready Multimodal Transportation PDF and LaTeX source is part of DocuGuru's paid plans — see the app for current pricing.
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