Parking Choice Behaviour in Loja, Ecuador — Dataset & Analysis Script Universidad Técnica Particular de Loja (UTPL) March 2026

This dataset and accompanying R analysis script support the article "Parking Choice Behaviour in an Intermediate Andean City: A Stated Preference Study of the SIMERT System in Loja, Ecuador". The dataset contains stated preference (SP) survey responses from 227 licensed drivers in Loja, Ecuador, collected in 2024. Each respondent completed six discrete choice tasks across four parking alternatives (regulated on-street / SIMERT, private off-street, irregular on-street, and leaving the vehicle at home), described by seven attributes: walking distance to destination (m), parking cost (USD/2h), search time (min), probability of finding a space (%), expected fine cost (USD), security level (Low / Medium / High), and surveillance type (None / Cameras / Guard). The R script reproduces all results reported in the article, including: multinomial logit (MNL) and mixed logit (ML) model estimation; willingness-to-pay (WTP) calculations via the delta method; income- and gender-segmented models; arc elasticities; principal component analysis (PCA) of perceptual and attitudinal items; and market-share policy simulations for five demand management scenarios. The study is the first stated preference analysis of parking choice in an intermediate Ecuadorian city, contributing behavioural parameters for evidence-based tariff and enforcement design under the SIMERT system (in operation since 2 May 2002). For completeness, the table below summarises each file: File name Format Contents Data_parking_survey.xlsx Excel (.xlsx) Multi-sheet workbook. Sheet 1 (Survey_Data): 227 rows × ~60 columns — one row per respondent, containing socio-demographic variables, six stated preference choice responses (one column per scenario: chosen alternative A–D), and 10 attitudinal Likert items. Sheet 2 (SP_Design): the 6-scenario × 4-alternative stated preference design matrix with attribute levels. Sheet 3 (Codebook): variable names, labels, units, and value codes for all variables. Script_parking_survey.docs R script (.R) Single self-contained R script (R ≥ 4.3.0). Reads Data_parking_survey.xlsx from the same directory and produces all tables and figures reported in the article. Requires packages: readxl, dplyr, tidyr, mlogit, gmnl, ggplot2, flextable, officer, psych, car, broom. Runtime ≈ 2–5 min on a standard laptop. Sections: (1) data import and cleaning; (2) MNL base model; (3) mixed logit; (4) segmented models; (5) WTP and elasticities; (6) PCA; (7) policy simulations; (8) table and figure export.