Cited by 163Complex Network Analysis TechniquesRegional Economics and Spatial AnalysisTransportation Planning and Optimization

Modeling the Growth of Transportation Networks: A Comprehensive Review

Xie, Feng, Levinson, David·2009·Networks and Spatial Economics

Integrity signals

Registry

Crossref · 10.1007/s11067-007-9037-4

Cites

1 of 1 references verified0 citation errors · 0 not checkable

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  • Traditionally complex network theory explains the evolution of scale-free phenomenon by 'growth' and 'preferential attachment'.

    “Traditionally complex network theory explains the evolution of scale-free phenomenon by Bgrowth^and Bpreferential attachment^ (Xie and Levinson 2009;Barabasi and Albert 1999).”

    From A Network Approach to Link Visibility and Urban Activity Location (2018) · cites this paper as Xie and Levinson 2009

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Authors
Xie, F., & Levinson, D.
Affiliations
University of Minnesota (US)
Corresponding author
Xie, Feng
Venue
Networks and Spatial Economics
Published
2007-10-18
Volume
9
Issue
3
Pages
291-307
ISSN
  • 1566-113X (ISSN-L)
  • 1572-9427
OpenAlex
W2107240237
Cited by
163
References
1
Citations by year
2026: 7 · 2025: 4 · 2024: 6 · 2023: 5 · 2022: 10 · 2021: 11 · 2020: 9 · 2019: 11 · 2018: 17 · 2017: 15 · 2016: 12 · 2015: 11 · 2014: 12 · 2013: 14 · 2012: 6
FWCI
1.23
Type
journal article
Language
en
Open access
closed
Locations
  • Networks and Spatial Economics (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
  • University of Minnesota Digital Conservancy (University of Minnesota) (submittedVersion)
Topics
  • Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Network Analysis Techniques
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Regional Economics and Spatial Analysis
  • Social Sciences › Transportation › Transportation Planning and Optimization
Keywords
network growth models, transport geography, traffic flow, transportation planning, network science, transport development

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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