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Record W2082293213 · doi:10.1061/9780784413159.186

Analysis of Model of Community Sports Logistics Distribution Center Location under Electronic Commerce

2013· article· en· W2082293213 on OpenAlexaff
Fang Xu, Jun Song, Jixue Yuan, Chaozhe Jiang

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicE-commerce and Technology Innovations
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsDistribution (mathematics)BusinessDistribution centerTransport engineeringLogistics centerSport managementMarketingComputer sciencePublic relationsEngineeringPolitical science

Abstract

fetched live from OpenAlex

Recently, the development of the sports industry and the improvement of comprehensive abilities in China requires a new constructive climax to sports facilities of community sports. It is very important in promoting urban management, fulfilling urban loading function, and promoting communication of sports culture through the whole city to build community sports logistics distribution center location that matches the actual situation of this city. So, selecting the best location of community sports logistics distribution center is very important, and doing so has a lot of factors, including transportation situation, the cost of building logistics distribution centers, the cost of reserving and maintaining equipments and facilities for community sports activities, municipal facilities, tour facilities and post communication facilities etc. So the administrative department must consider the convenience with which the citizen attends community sports. However, with the rapid development of national economy and urbanization process, the traffic stress has become very serious problem. Now, these administrative departments have already taken the choice of community sports logistics distribution center location as critical factors. So, this paper will analyze and discuss how to select the best location of community sports logistics distribution center and try to provide a center location model through the analysis of community sports logistics distribution system and the comparison of traditional community sports logistics distribution method and modern community sports logistics distribution system under electronic commerce based on the logistics distribution center location model, which can be worked out by Excel software and Lingo software etc. The paper will draw a conclusion: community sports logistics plays an important role while citizens attend the community sports exercises; the community sports logistics distribution center is very important to improve the efficiency of community sports logistics distribution system; it might reduce the total cost and shorten the logistics time to construct relative ideal logistics distribution center location model; and the center location model can benefit citizens' health and improve municipal comprehensive abilities.

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)0.000
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.723
Threshold uncertainty score0.593

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.037
GPT teacher head0.257
Teacher spread0.220 · 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 designTheoretical or conceptual
Domainnot available
GenreEmpirical

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

Citations0
Published2013
Admission routes1
Has abstractyes

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