埃德蒙顿的交通与汽车使用

The response identifies the visuals' general topics and gives an overview that car use is highest and taxi lowest, but it systematically confuses the two visuals, claiming taxi is used for shopping and LRT for taking children to school when the table describes reasons for car use, so key details are largely inaccurate.

There is a visible overall structure with an overview and data sections, but progression is mechanical and coherence breaks down as misread data and awkward linkers such as 'Apparently, it is crystal noticeable' make the message hard to follow.

The response attempts some data-related phrasing such as 'more than one third' and 'one-tenth', but word choice is frequently imprecise or unnatural, including 'table chart', 'calibrated in percentile', and 'less preference to taxi as compared to other'.

Sentence structures show some attempts at complex forms, but frequent errors such as 'the pie chart and table chart illustrates', 'who were using by Bus', and 'they using the Light rail transit' recur across the response and often impede clarity.

The response provides a clear overview, accurately reports the main figures from both the pie chart (45%, 35%, 10%) and the bar/table data, and makes relevant comparisons, with only minor lapses such as the unsupported claim that bus and taxi 'are not preferred'.

Progression is generally clear with logical paragraphing and workable cohesive devices, but linking is at times mechanical ('To begin with', 'Moving towards') and some referencing is imprecise.

Vocabulary is adequate for the task with some attempted variety, but phrases like 'at its zenith', 'the bar graph display the reasons' and 'multiple reasons why people drive cars for work-commuting purposes' show imprecise or awkward usage.

A range of structures is attempted, though errors such as 'The bar graph display', 'the second highest use is LRT... which is at its zenith', and a very long final sentence are noticeable without seriously impeding meaning.

The response covers the key features of both visuals with an appropriate overview and mostly accurate data, though merging shopping and leisure into one 15% figure and describing table values as shares of the population introduce minor imprecision.

Ideas are organised logically with a clear overview, separate treatment of each visual, and effective use of cohesive devices, with only mechanical linking in places.

There is a sufficient range of vocabulary for the task, including terms like 'commute', 'mode of transportation' and 'utilization', though some phrasing is somewhat unnatural or repetitive.

A variety of complex structures is used with generally good control, and errors such as 'the highest among any other mode' are minor and do not impede meaning.

The response covers the main features of both the pie chart and the table with accurate figures and a relevant overview, though the overview and comparisons remain somewhat general rather than fully developed.

Ideas are organised logically across clear paragraphs with good cohesive devices and referencing, although the linking of data between the two visuals is somewhat mechanical.

Vocabulary is sufficiently flexible for the task, with appropriate terms for proportions and purposes, but some phrasing such as 'occupies 10%' and 'go for leisure activities by car' is slightly imprecise.

A good range of structures is used with generally strong control, including relative clauses and participial phrases. Minor errors include the missing article before the singular count noun in "car is the most popular means". The subject and verb in that phrase agree correctly.