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Many smart transport programs are being carried out despite the fact that new smart transport programs technologies are not yet mature and people’s needs are not fully understood. As a result, many smart transport projects fall into chaos and fail to operate successfully, and can even impede socioeconomic development for sustainability. Therefore, this study suggests that cities should consider first the perceptions of people toward smart transport before they actively implement smart transport projects; this is an indispensable, key step to the smooth development of smart transport. Based on exploratory research, the study explores the procedure of constructing a kano model of smart transportation. A six-stage procedure is developed as primary collected 50 smart transport cases worldwide and then extracted 24 smart transport items. We designed questionnaire contents within the theoretical framework of the kano model, and eventually collected 369 completed questionnaires to determine how smart transport items can be classified under appropriate need attributes. Additionally, we use the customer satisfaction coefficient method to further prioritize the smart transport items, and four methods to prioritize them. Decision-makers can consider prioritization results from using different rules and methods, and reduce the gap between technologies implementation and actual needs.
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Stored only when both papers are in the corpus — 8 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
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