Structural equation modeling approach to evaluate effects of socio-economic and built environment factors on trip generation rates of commercial land use.

Ramin Ahooee, Abbas Babazadeh, Ali Naderan

Abstract read

In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Ramin AhooeeDepartment of Civil Engineering, SR.C, Islamic Azad University, Tehran, Iran.

Abbas BabazadehSchool of Civil Engineering, College of Engineering, University of Tehran, Tehran, Iran. ababazadeh@ut.ac.ir.

Ali NaderanDepartment of Civil Engineering, SR.C, Islamic Azad University, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding trip generation at large-scale commercial land uses is essential for effective urban transport planning, particularly in rapidly growing cities in developing countries. This study investigates trip-generation patterns at extra-regional commercial centers in Mashhad, Iran, using an exploratory structural equation modeling (SEM) framework that jointly examines physical attributes, built-environment characteristics, and socio-economic factors. Using observed trip counts from 33 extra-regional commercial sites, two dependent measures were analyzed: the total number of trips and trip rates normalized by floor area (trips per 100 m

Indexed as

Built environmentCommercial land usesSocio-economic factorsStructural equation modelingTrip generation

Identifiers

PMID41942470

DOI10.1038/s41598-026-43632-3

PMCPMC13061957

What OpenQuestion holds

Textmetadata

LicenceCC BY-NC-ND

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.