《2025年经纶学霸阅读英语100篇五年级英语》

Wednesday 阅读理解C
Wednesday 阅读理解 C
KNOWING THE CITY ON ▲
From July 2022 to July 2023, city walkers in China together covered over 320,000 kilometres. That’s like circling Earth 8 times.

Top 3 popular cities in China for city walking
Who are city walkers?
Male 18% Female 82%
Ages
Under 16 ☐15%
16-18 ☐2%
19-23 ☐22%
24-28 ☐28%
29-33 ☐19%
over 34 ☐14%
Five popular reasons for city walking
· To slow down to learn a city better
· To have a cheaper and more relaxing way to travel
· To know better about the community around us
· To stay curious
· To reduce stress
一、阅读材料，回答下列问题。
(B)1. Which city is the most popular in China for city walking?
A. Beijing.
B. Shanghai.
C. Guangzhou.
(B)2. What can we learn from the text?
A. Female city walkers are fewer than the male ones.
B. The city walkers of 24—28 years old are the most.
C. 6 reasons for city walking are mentioned in the text.
(C)3. What word can be put in “ ▲ ”?
A. BUS
B. BIKE
C. FOOT
(A)4. Where can we probably read the text?
A. In a newspaper.
B. In a storybook.
C. In an instruction.
二、结合材料信息，回答下面的问题。
新考法 创新话题 “Walking is the most sustainable(可持续的) tourism method.” Support or refute(反驳) using 2 reasons from the chart.Walking costs no money，doesn’t pollute，and helps people love their city more. That’s why it’s a super sustainable way to travel!

答案： Wednesday
Q 答案详解
一、1. B 细节理解题。根据“Top 3 popular cities in China for city walking：Top 1 Shanghai”可知，上海是中国城市步行最受欢迎的城市，排名第一。故选B。
2. B 细节理解题。根据图表，24—28岁年龄段的城市行走人数占比最高，为28%。故选B。
3. C 推理判断题。根据“From July 2022 to July 2023，city walkers in China together covered over 320,000 kilometres.”及结合图表内容可知，本文主要介绍了城市徒步活动的相关信息，所以空处表示通过步行来了解城市。故选C。
4. A 推理判断题。根据文章及图表中的信息可知，本文主要介绍了中国城市徒步活动的热门城市、参与者特点以及徒步的主要原因，所以在报纸中可能会读到这篇文章。故选A。
二、参考答案：Walking costs no money，doesn’t pollute，and helps people love their city more. That’s why it’s a super sustainable way to travel!
A 方法点拨 数据和图表的理解
1. 难点：文章包含大量数据和图表（如百分比、城市排名等），需要将文字信息与图表信息结合起来理解。
解决方法：先通读问题，再回到文章中寻找对应的数据或图表，逐步建立信息关联。
2. 易错点：可能忽略图表中的细节，比如年龄分布的具体百分比或城市排名的顺序。
解决方法：要仔细观察图表，并将图表中的数据与问题逐一对照。