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Highway Passenger Transport Based Express Parcel Service Network Design: Model and Algorithm

2017· article· en· 17 citations· W2761574541 on OpenAlex· 10.1155/2017/1712325

Why is this work in the frame?

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

Canadian venueIt was published in a Canadian venue.

No Canadian affiliation. An affiliation-only frame — the usual design — would never have seen this work. It is one of the works that make the case for inverting the frame.

The three-model screen

all 1,000 screened works →

All three models called this out of scope.

stratum: venue_new · design weight: 2684.25 (the sample is stratified; any rate computed without the weight is wrong)
Claude Opus 4.8OUT
genre: empirical
about Canada: no
confidence: high

Operations research model for designing an express parcel service network on highway coaches.

GPT-5.6 (high)OUT
genre: conceptual
about Canada: no
confidence: high

It develops an optimization model for parcel transport networks, not research practice.

Grok 4.5OUT
genre: empirical
about Canada: no
confidence: high

Operations research on highway express parcel service network design.

Abstract

Highway passenger transport based express parcel service (HPTB-EPS) is an emerging business that uses unutilised room of coach trunk to ship parcels between major cities. While it is reaping more and more express market, the managers are facing difficult decisions to design the service network. This paper investigates the HPTB-EPS network design problem and analyses the time-space characteristics of such network. A mixed-integer programming model is formulated integrating the service decision, frequency, and network flow distribution. To solve the model, a decomposition-based heuristic algorithm is designed by decomposing the problem as three steps: construction of service network, service path selection, and distribution of network flow. Numerical experiment using real data from our partner company demonstrates the effectiveness of our model and algorithm. We found that our solution could reduce the total cost by up to 16.3% compared to the carrier’s solution. The sensitivity analysis demonstrates the robustness and flexibility of the solutions of the model.

Stored with the screening record, where it is evidence for the labels above.

The record

Venue
Journal of Advanced Transportation
Topic
Transportation Planning and Optimization
Field
Social Sciences
Canadian institutions
Funders
Jilin Scientific and Technological Development ProgramSpecialized Research Fund for the Doctoral Program of Higher Education of ChinaBritish Academy
Keywords
Network planning and designRobustness (evolution)Flow networkComputer scienceInteger programmingService (business)Flexibility (engineering)Level of serviceNetwork modelOperations researchTransport networkAlgorithmMathematical optimizationTransport engineeringEngineeringData miningComputer networkMathematics
Has abstract in OpenAlex
yes