Tuples are simpler structures than dictionaries. Thus, a pro of using the list of tuples is that the resulting code will be more efficient than equivalent code using a list of dictionaries. A con is that dictionaries have named keys, which add semantic meaning to the values, and therefore may be more understandable and less error-prone than a tuple-based solution. 

A promising alternative, assuming your data is relatively structured, would be to create a class for this type of object and use a list of objects instantiated from that class, rather than tuples or dictionaries. This has numerous advantages, including:
- Class objects hold structured data
- Objects can have attached behavior, constructors, etc, which makes them easy to use
- Classes can be reused throughout the code
- Classes can be type-checked, preventing runtime errors

A class for the above example might look like this:
```python
class Person:
    def __init__(self, name, age):
        self.name = name
        self.age = age
    def __repr__(self):
        return self.name + " (" + str(self.age) + " years old)"

list_of_objects = [Person(d['name'], d['age']) for d in list_of_dicts]
print(list_of_objects)
```

Output:
```
[Alice (30 years old), Bob (25 years old), Charlie (22 years old)]
```

Another alternative would be to use parallel lists. This is generally not recommended, as it provides more opportunities for hard-to-find mistakes, especially if your lists get out of sync (that is, you accidentally manipulate one list such that it does not line up with the other). Parallel lists have none of the advantages of the class-based approach described above. 

An example of the parallel list approach follows:
```python
list_of_names = [d['name'] for d in list_of_dicts]
list_of_ages = [d['age'] for d in list_of_dicts]
print(list_of_names)
print(list_of_ages)
```

Output:
```
['Alice', 'Bob', 'Charlie']
[30, 25, 22]
```
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