Cluster analysis of potential autonomous vehicle (AV) adopters in Indonesia’s new capital
Indonesia’s major cities suffer from severe traffic congestion, leading to air pollution, wasted time, higher casualty rates, reduced productivity, respiratory issues, and contributions to global warming. Autonomous Vehicles (AVs) could offer a solution by optimizing routes and enhanced efficiency,...
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Elsevier
2025-01-01
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Series: | Transportation Research Interdisciplinary Perspectives |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S259019822400304X |
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author | Eko Agus Prasetio Dita Novizayanti Aghnia Nadhira Aliya Putri |
author_facet | Eko Agus Prasetio Dita Novizayanti Aghnia Nadhira Aliya Putri |
author_sort | Eko Agus Prasetio |
collection | DOAJ |
description | Indonesia’s major cities suffer from severe traffic congestion, leading to air pollution, wasted time, higher casualty rates, reduced productivity, respiratory issues, and contributions to global warming. Autonomous Vehicles (AVs) could offer a solution by optimizing routes and enhanced efficiency, thereby reducing stop-and-go behavior that leads to congestion and lowering risks associated with current mobility options. However, uncertainties about AV safety and security remain, shaped by cultural, educational, and personal contexts. This research aims to identify strategies to boost AV adoption in Indonesia by categorizing market segments using cluster analysis, focusing on civil servants relocating to Nusantara, the new capital, where AV will be implemented earlier than other regions in the country. A survey addressing 13 factors relevant to AV adoption was distributed to 356 participants. The analysis identified four clusters: Cluster 1 (27%) values sustainability, emotional safety, and performance expectancy but needs more trust and safety assurances. Cluster 2 (16%) prioritizes perceived enjoyment, emotional safety, and sustainability, with minimal influence from mass media and social media. Cluster 3 (38%) focuses on emotional safety, perceived usefulness, and sustainability, with little impact from mass media and social media. Cluster 4 (18%) values emotional safety, perceived enjoyment, and usefulness, with the least influence from mass media, social media, and hedonic motivation. Based on this clustering, we suggest staging strategies focusing on building trust and safety, enhancing positive perceptions through targeted marketing, leveraging social influence to broaden adoption, and sustaining enthusiasm with simplified approaches and incentives. Each stage addresses specific barriers and motivations to drive AV adoption effectively. |
format | Article |
id | doaj-art-a9d1432b4700490e9b69acda719d44ed |
institution | Kabale University |
issn | 2590-1982 |
language | English |
publishDate | 2025-01-01 |
publisher | Elsevier |
record_format | Article |
series | Transportation Research Interdisciplinary Perspectives |
spelling | doaj-art-a9d1432b4700490e9b69acda719d44ed2025-02-09T05:01:16ZengElsevierTransportation Research Interdisciplinary Perspectives2590-19822025-01-0129101318Cluster analysis of potential autonomous vehicle (AV) adopters in Indonesia’s new capitalEko Agus Prasetio0Dita Novizayanti1Aghnia Nadhira Aliya Putri2Corresponding author.; National Center for Sustainable Transportation Technology, Bandung, Indonesia; School of Business and Management, Institut Teknologi Bandung, Bandung, IndonesiaNational Center for Sustainable Transportation Technology, Bandung, Indonesia; School of Business and Management, Institut Teknologi Bandung, Bandung, IndonesiaNational Center for Sustainable Transportation Technology, Bandung, Indonesia; School of Business and Management, Institut Teknologi Bandung, Bandung, IndonesiaIndonesia’s major cities suffer from severe traffic congestion, leading to air pollution, wasted time, higher casualty rates, reduced productivity, respiratory issues, and contributions to global warming. Autonomous Vehicles (AVs) could offer a solution by optimizing routes and enhanced efficiency, thereby reducing stop-and-go behavior that leads to congestion and lowering risks associated with current mobility options. However, uncertainties about AV safety and security remain, shaped by cultural, educational, and personal contexts. This research aims to identify strategies to boost AV adoption in Indonesia by categorizing market segments using cluster analysis, focusing on civil servants relocating to Nusantara, the new capital, where AV will be implemented earlier than other regions in the country. A survey addressing 13 factors relevant to AV adoption was distributed to 356 participants. The analysis identified four clusters: Cluster 1 (27%) values sustainability, emotional safety, and performance expectancy but needs more trust and safety assurances. Cluster 2 (16%) prioritizes perceived enjoyment, emotional safety, and sustainability, with minimal influence from mass media and social media. Cluster 3 (38%) focuses on emotional safety, perceived usefulness, and sustainability, with little impact from mass media and social media. Cluster 4 (18%) values emotional safety, perceived enjoyment, and usefulness, with the least influence from mass media, social media, and hedonic motivation. Based on this clustering, we suggest staging strategies focusing on building trust and safety, enhancing positive perceptions through targeted marketing, leveraging social influence to broaden adoption, and sustaining enthusiasm with simplified approaches and incentives. Each stage addresses specific barriers and motivations to drive AV adoption effectively.http://www.sciencedirect.com/science/article/pii/S259019822400304XAutonomous VehicleCluster AnalysisPotential AV AdopterNew Capital of IndonesiaNusantara |
spellingShingle | Eko Agus Prasetio Dita Novizayanti Aghnia Nadhira Aliya Putri Cluster analysis of potential autonomous vehicle (AV) adopters in Indonesia’s new capital Transportation Research Interdisciplinary Perspectives Autonomous Vehicle Cluster Analysis Potential AV Adopter New Capital of Indonesia Nusantara |
title | Cluster analysis of potential autonomous vehicle (AV) adopters in Indonesia’s new capital |
title_full | Cluster analysis of potential autonomous vehicle (AV) adopters in Indonesia’s new capital |
title_fullStr | Cluster analysis of potential autonomous vehicle (AV) adopters in Indonesia’s new capital |
title_full_unstemmed | Cluster analysis of potential autonomous vehicle (AV) adopters in Indonesia’s new capital |
title_short | Cluster analysis of potential autonomous vehicle (AV) adopters in Indonesia’s new capital |
title_sort | cluster analysis of potential autonomous vehicle av adopters in indonesia s new capital |
topic | Autonomous Vehicle Cluster Analysis Potential AV Adopter New Capital of Indonesia Nusantara |
url | http://www.sciencedirect.com/science/article/pii/S259019822400304X |
work_keys_str_mv | AT ekoagusprasetio clusteranalysisofpotentialautonomousvehicleavadoptersinindonesiasnewcapital AT ditanovizayanti clusteranalysisofpotentialautonomousvehicleavadoptersinindonesiasnewcapital AT aghnianadhiraaliyaputri clusteranalysisofpotentialautonomousvehicleavadoptersinindonesiasnewcapital |