SAFETYLIT WEEKLY UPDATE

We compile citations and summaries of about 400 new articles every week.
RSS Feed

HELP: Tutorials | FAQ
CONTACT US: Contact info

SafetyLit Journal Details

We are unable to provide photocopies of any the articles and reports abstracted in SafetyLit updates. Where possible, links have been provided to the publisher of the material and contact information for the corresponding author is listed. Please consider asking your library to subscribe to the journals from which these abstracts have been gathered.

To recommend a journal for this list please: Send SafetyLit an Email Message


Computational urban science

Abbreviation: Comput. Urban Sci.

Published by: Holtzbrinck Springer Nature Publishing Group

Publisher Location: Singapore, China

Journal Website:
https://link.springer.com/journal/43762/volumes-and-issues


Range of citations in the SafetyLit database: 2021; 1(1) -- 2022; 2(1)

Publication Date Range: 2021 --

Number of articles from this journal included in the SafetyLit database: 10
(Download all articles from this journal in CSV format.)

eISSN = 2730-6852
USNLM = 9918284258606676 | OCLC = 1249242434

Find a library that holds this journal: http://worldcat.org/issn/27306852

Journal Language(s): English


Aims and Scope (from publisher): Computational Urban Science publishes rigorously peer-reviewed and high-quality original articles, reviews, method papers, and opinion papers that focus on the intersection of computational sciences and urban sciences in building intelligent and resilient cities. It is a fully OA journal and the APCs are fully covered by Jiangxi Normal University. The journal aims to introduce the latest results in urban computing and its applications, examine both the spatial and social dimension of urban networks and built environment, promote the cooperation between computational disciplines and the urban domain sciences, and build a bridge for scientific communication.

This journal will focus on the development of research frameworks, theories, methods and good case studies of tackling key urban research challenges in the mobile and big data era.