The recently-revealed J.D. Power 2022 China Vehicle Dependability Study (VDS) has been quite kind to Ford and its joint venture in that country – Changan Ford – with the latter ranking second among all mass market brands in the study and the Ford Mondeo finishing third in the mid-size sedan segment. Now, that trend continues, as the Ford Edge has been named as the top large SUV on the market in terms of dependability in China at the moment.
The Ford Edge beat out the second-ranked Honda Avancier and third-ranked Volkswagen Tiguan L, as well as every other big SUV/crossover on sale in China to take home these honors. This comes on the heels of leaked images showing the next-generation Ford Edge that will replace the existing model at least in that particular country, if not other parts of the world as well.
The J.D. Power China Vehicle Dependability Study (VDS), now in its 13th year, measures the number of problems experienced per 100 vehicles during the past six months by owners of 13- to 48-month-old vehicles, whereas a lower score reflects higher quality. The study covers 177 specific problems grouped into nine major vehicle categories – exterior, interior, driving experience, features, controls, and displays, infotainment, climate, seats, powertrain, and driving assistance. This year’s study is based on the responses from 37,345 vehicle owners who purchased their vehicle between December 2017 and May 2021 and covers 208 models from 48 different brands.
“The number of design-related problems in long-term quality is increasing, which is consistent with the China Initial Quality Study released earlier this year,” said Elvis Yang, general manager of auto product practice at J.D. Power China. “Design-related problems continue to affect user experience and satisfaction, both in the new-ownership period and the long-term ownership period. In fact, with the intelligence evolution, both hardware and software will affect the quality dependability. Looking ahead, automakers need to form the strategic thinking of ‘integration’ in the R&D stage to improve the ability of software and hardware collaborative iteration.”