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This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Article

Evaluating Potential E-Bike Routes in Valparaíso’s Historic Quarter, Chile: Comparative Human and AI Street Auditing and Local Scale Approaches

by
Vicente Aprigliano
1,2,
Mitsuyoshi Fukushi
1,
Catalina Toro
1,3,
Gonzalo Rojas
1,3,*,
Emilio Bustos
1,
Iván Bastías
4,
Sebastián Seriani
1 and
Ualison Rébula de Oliveira
5
1
Escuela de Ingeniería de Construcción y Transporte, Pontificia Universidad Católica de Valparaíso, Avda. Brasil 2147, Valparaíso 2362804, Chile
2
Centro de Acción Climática, Pontificia Universidad Católica de Valparaíso, Avda. Brasil 2147, Valparaíso 2362804, Chile
3
Instituto de Geografía, Pontificia Universidad Católica de Chile, Avda. Vicuña Mackenna 4860, Santiago 7820436, Chile
4
Instituto de Geografía, Pontificia Universidad Católica de Valparaíso, Avda. Brasil 2241, Valparaíso 2362807, Chile
5
Departamento de Administração e Administração Pública de Volta Redonda, Universidade Federal Fluminense (UFF)/MPA-ICHS, MSG-TCE and DSG-TCE, 783 Des. Ellis H. Figueira St. Volta Redonda, Rio de Janeiro 27213-145, RJ, Brazil
*
Author to whom correspondence should be addressed.
Systems 2025, 13(10), 894; https://doi.org/10.3390/systems13100894
Submission received: 14 August 2025 / Revised: 15 September 2025 / Accepted: 8 October 2025 / Published: 10 October 2025
(This article belongs to the Special Issue Data-Driven Urban Mobility Modeling)
Versions Notes

Abstract

This study evaluates potential routes for electric bicycles (E-Bikes) in Valparaíso, Chile, using street audits performed by both humans and artificial intelligence (AI). Audit methods were compared to identify routes connecting the Puerto metro station with Avenida Alemania (a strategic city avenue), prioritizing criteria such as street infrastructure, habitability, and street coexistence. The results show that the human audit gives higher scores in subjective variables, such as the perception of security and urban dynamism, while AI penalizes infrastructure deficiencies more severely, especially in areas with steep slopes and low tree cover. Despite these differences, both methods highlight the inadequacy of current infrastructure to promote the use of E-Bikes in the city. This work provides a novel perspective by evaluating human and AI-assisted methodologies, suggesting that an integration between the two could improve accuracy and reduce subjectivity in urban audits. In addition, the results underline the need for public policies that prioritize accessibility, safety, and equity in urban mobility, especially in vulnerable areas. Future research should explore training AI algorithms with human audit data to strengthen AI’s ability to interpret contextual variables and dynamics in complex urban environments.
Keywords: E-Bike infrastructure: street auditing methods; artificial intelligence in Urban planning; sustainable mobility; Valparaíso; Chile E-Bike infrastructure: street auditing methods; artificial intelligence in Urban planning; sustainable mobility; Valparaíso; Chile

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MDPI and ACS Style

Aprigliano, V.; Fukushi, M.; Toro, C.; Rojas, G.; Bustos, E.; Bastías, I.; Seriani, S.; de Oliveira, U.R. Evaluating Potential E-Bike Routes in Valparaíso’s Historic Quarter, Chile: Comparative Human and AI Street Auditing and Local Scale Approaches. Systems 2025, 13, 894. https://doi.org/10.3390/systems13100894

AMA Style

Aprigliano V, Fukushi M, Toro C, Rojas G, Bustos E, Bastías I, Seriani S, de Oliveira UR. Evaluating Potential E-Bike Routes in Valparaíso’s Historic Quarter, Chile: Comparative Human and AI Street Auditing and Local Scale Approaches. Systems. 2025; 13(10):894. https://doi.org/10.3390/systems13100894

Chicago/Turabian Style

Aprigliano, Vicente, Mitsuyoshi Fukushi, Catalina Toro, Gonzalo Rojas, Emilio Bustos, Iván Bastías, Sebastián Seriani, and Ualison Rébula de Oliveira. 2025. "Evaluating Potential E-Bike Routes in Valparaíso’s Historic Quarter, Chile: Comparative Human and AI Street Auditing and Local Scale Approaches" Systems 13, no. 10: 894. https://doi.org/10.3390/systems13100894

APA Style

Aprigliano, V., Fukushi, M., Toro, C., Rojas, G., Bustos, E., Bastías, I., Seriani, S., & de Oliveira, U. R. (2025). Evaluating Potential E-Bike Routes in Valparaíso’s Historic Quarter, Chile: Comparative Human and AI Street Auditing and Local Scale Approaches. Systems, 13(10), 894. https://doi.org/10.3390/systems13100894

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