Data Driven Analysis for Active Transportation
A special issue of Sustainability (ISSN 2071-1050).
Deadline for manuscript submissions: closed (30 June 2021) | Viewed by 17180
Special Issue Editors
2. Institute of Transport Studies, Department of Civil Engineering, Monash University, Clayton, Victoria 3800, Australia
Interests: big data; deep learning; bike; simulation
Interests: sustainable transportation; transportation operation; big data
Special Issue Information
Dear Colleagues,
Active Transportation describes all human-powered forms of travel. Walking and cycling are among the most popular and can be combined with other modes, such as public transit. It is a key way for more people to be consistently active in their daily lives, improving the quality of life. Active transportation is one of the most cost-effective ways for an individual to become more physically active and remain healthy in the long-term.
Investments in active transportation infrastructure yield positive outcomes, for example, efficient transportation operation, improved air quality, reduced contributions to climate change, improved vibrancy and livability, vehicle operational cost saving, reduced congestion, and more.
Reasons that people give for not walking or cycling usually involve poor weather, safety concerns, a lack of sidewalks and cycling facilities, time pressures, and a lack of secure bicycle parking. Local governments have a crucial role and expertise with design and land use strategies to overcome these challenges.
In many recent years, various data sources detecting the movement of active transportation users and their activities have been implemented to understand travel behaviour. In a big data era, it became much feasible to estimate and predict travel behaviour to make a better transport plan. This special issue tries to compile high-quality research papers to contribute to the active transport area.
The objective of this Special Issue is to bring together state-of-the-art research contributions that address challenges in contemporary data pre and post processing, data management, data fusion, data driven AI applications, extensibility of data application in the active transport field.
The special issue encourages the authors to contribute submissions from a broad range of research fields related to the recent active transport data to many practitioners and academics as followings
- Transportation planning and design
- Community land use and design
- Safety concerns for walking and biking
- First and last mile accessibility
- Active transport lifelong experience
- Active transport with health implications
- Shared mobility(dockless bike, stationary bikes, electric scooter) implementation
- Special treatments for active transport
- A relationship between public transport and active transportation
- Pedestrian travel behavior and walking pattern
- Elderly mobility
Dr. Inhi Kim
Dr. Kitae Jang
Dr. Nan Zheng
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- active transport
- big data
- safety
- behavior
- mobility
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue polices can be found here.
