Improve neighborhood map design by using kano’s model

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Abstract

Objective: Based on the result of users’ satisfaction survey of the neighborhood map, the classification of neighborhood information was studied. The 15 information carried by neighborhood maps were extracted from relative stansards. And then Kano questionnaire were made to analysis the attribute of 15 neighborhood information. Methods: 317 volunteers participated in the user satisfaction survey and the Kano questionnaire survey. Results: There were 4 must-be information, 7 one-dimensional information, 1 attractive information and 3 indifferent information. Conclusion: Based on the above discussion, a new national standard (GB/T 20501.4) on neighborhood map design has been developed, and is be issued.

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Yuan, B., Zou, C. Y., & Chen, Y. (2017). Improve neighborhood map design by using kano’s model. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10273 LNCS, pp. 322–330). Springer Verlag. https://doi.org/10.1007/978-3-319-58521-5_26

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