Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Outside the ivory tower

Visualizing University Students’ Top Transit-Trip Destinations and Popular Corridors

Bibliographic Data

ID7366754
AuthorsMingshu Wang (0000-0001-5260-3143), Jiangping Zhou (0000-0002-1623-5002, corresponding author), Ying Long (0000-0002-8657-6988), Feng Chen (0000-0002-9129-7895)
Year2016
Volume3
Issue1
Pages202-206
Publication date2016-01-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueRegional Studies Regional Science (JOURNAL)
Journal identifiersISSN: 2168-1376 • E-ISSN: 2168-1376
PublisherTaylor & Francis (PUBLISHER • GB)
DOI10.1080/21681376.2016.1154798
OpenAlexW2297017414
LanguageEN
Citations received4
References cited3

Universities are where innovations, face-to-face interactions and social capital are commonplace. Nevertheless, often regarded as ‘the ivory tower’, universities cannot be separated from the social and economic transformations outside of them. Traffic, information and financial flows between universities and other locations can be used to reveal connections between the ivory tower and other locales. Therefore, this paper uses the weekday public transit smartcard records from 6 to 9 April 2010 (158,262 transit trips in total, including bus-only, bus plus subway and subway-only trips) to identify and profile the most popular destinations of student riders from the ‘985 universities’ (a short list of top universities designated by the Chinese Central Government in 1999) and associated transit trip flows in Beijing. It identifies destination hotspots for the 985 universities’ students in Beijing, allocates traffic volume to major roads and delineates the transit trips of students from each campus. The results indicate that there exist only weak ties and little movement between the top universities and the most disadvantaged areas

Advertising · Beijing · Business · China · Destinations · Disadvantaged · Economic growth · Economics · Geography · Government (linguistics · Ivory tower · Political science · Public transport · Transit (satellite · Transport engineering · TRIPS architecture · Engineering · Human Mobility and Location-Based Analysis · Transportation Planning and Optimization · Urban Transport and Accessibility

  • How polycentric is urban China and why? A case study of 318 cities

    Open Access•Xingjian Liu, Mingshu Wang•Landscape and Urban Planning•2016

  • Understanding the protection of privacy when counting subway travelers through anonymization

    Open Access•Nadia Shafaeipour, Valeriu-Daniel Stanciu et al.•Computers Environment and Urban…•2024

  • Simulating the urban spatial structure with spatial interaction

    Open Access•Cai Wu, Duncan Smith et al.•Computers Environment and Urban…•2021

  • Revealing the relationship between spatio-temporal distribution of population and urban function with social media data

    Open Access•Miaoyi Li, Zhenjiang Shen et al.•GeoJournal•2016

  • Combining smart card data and household travel survey to analyze jobs–housing relationships in Beijing

    Open Access•Ying Long, Jean-Claude Thill•Computers Environment and Urban…•2015

Unique citing works4
Citations per year0,4
Citation span2016 - 2024 (9)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 4
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae