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Record W3145979540 · doi:10.18280/ijsdp.160106

Socio-Spatial Research on Logistics and Its Impact on Urban Environment: A Review

2021· review· en· W3145979540 on OpenAlexvenueno aff
José Antonio López Sánchez, Beltrán Roca Martínez

Bibliographic record

VenueInternational Journal of Sustainable Development and Planning · 2021
Typereview
Languageen
FieldEngineering
TopicUrban and Freight Transport Logistics
Canadian institutionsnot available
FundersErasmus+
KeywordsMainstreamRegional scienceSpace (punctuation)ChinaField (mathematics)HegemonySustainabilitySociologyBusinessPolitical sciencePoliticsComputer science

Abstract

fetched live from OpenAlex

This review article attempts to respond to the following research questions: how has evolved socio-spatial analysis on logistics, which are the most studied types of this economic activity, and the major impacts of logistics on urban space. This article draws on a systemized bibliometric analysis to identify the main tendencies in logistics' spatial study. It identifies four clusters of literature that put interest on different subtopics and approaches. The review reveals the current hegemony of applied research that focuses on sustainability, streamlining, and technology, mainly from the USA and China, despite research on globalization and industry. In fact, concerning the urban space, the most vivid academic discussion revolves around the location of warehousing and transport activity within cities. Finally, the article highlights the lack of critical perspectives on logistics and socio-spatial conflicts generated by logistics extension in mainstream academic literature. The analysis concludes that socio-spatial disputes related to logistics remain understudied and, consequently, further research should be conducted on this field.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.924
Threshold uncertainty score0.988

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.112
GPT teacher head0.363
Teacher spread0.251 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations5
Published2021
Admission routes1
Has abstractyes

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