The Potential Use of Electric Bicycles in the Historic Quarter of the Seaport City of Valparaíso, Chile, Through Participatory Mapping and Focus Groups Supported by AI Data Processing
Keywords: artificial intelligence, chile, focus group, participatory mapping, Valpara & iacute, electric bicycles (E-Bikes), so World Heritage Site (WHS)
Abstract
The Seaport City of Valparaíso, Chile, declared a World Heritage Site (WHS) by the United Nations, is known for its built landscape shaped during the first phase of globalization in the late 19th century, including early transport systems. However, the city now faces growing 21st-century urban and transport challenges common in Latin America. Amid the rise of electric micromobility in Chile, this study explores the potential use of electric bicycles (E-Bikes) in Valparaísos historic quarter. A qualitative methodology was employed, including participatory mapping to identify strengths, weaknesses, opportunities, and threats (SWOT), and focus group discussions supported by AI-based text analysis. Findings reveal that barriers to E-Bike use extend beyond topography and infrastructure, highlighting concerns such as deteriorated public spaces, lack of green areas, and safety issues. Promoting E-Bike adoption will require improving infrastructure, launching educational campaigns, optimizing routes, and fostering community participation. This study aims to inform local decision-makers on how to enhance sustainable mobility by integrating E-Bikes into the historical electric transport of Valparaíso, thereby contributing to the modernization of mobility within a heritage context. © 2025 by the authors.
Más información
| Título según WOS: | The Potential Use of Electric Bicycles in the Historic Quarter of the Seaport City of Valparaíso, Chile, Through Participatory Mapping and Focus Groups Supported by AI Data Processing |
| Título según SCOPUS: | The Potential Use of Electric Bicycles in the Historic Quarter of the Seaport City of Valparaíso, Chile, Through Participatory Mapping and Focus Groups Supported by AI Data Processing |
| Título de la Revista: | ISPRS International Journal of Geo-Information |
| Volumen: | 14 |
| Número: | 10 |
| Editorial: | Multidisciplinary Digital Publishing Institute (MDPI) |
| Fecha de publicación: | 2025 |
| Idioma: | English |
| DOI: |
10.3390/ijgi14100405 |
| Notas: | ISI, SCOPUS |