2023-01-07 50 8

Location

In a field next to the Nidda in Bad Vilbel.

Participants

Monotof

Plans

The Hash point seemed reasonably easy to reach by bike and cycling along the river Nidda is always nice, so i went for it.

Expedition

To the hash point

I started off cycling my normal route to Burgholzhausen, there i went off the main road into the fields.

On the upside, cycling mostly through fields on quiet service roads with sunset views of Frankfurts skyline was pretty nice. On the downside, there was a decent headwind, which might have been obvious as the route passed directly beneath some wind turbines. Also some of the cycle paths Google Maps and OsmAnd found for me were not well suited for my road bike.

Finally i met the Nidda in Dortelweil, already very close to the hash point.

At the hash point

The hash point was in a fallow field (as it is January), next to the river Nidda in Bad Vilbel. There is a foot and cycle path between the field and the Nidda itself. On the other side of the field is the backside of some medium industry buildings of Hassia, a local producer of Mineral Water (and other beverages). It was easy to reach the precise hash point as the field was damp but not too muddy.

After a short snack and tea break i get back on my bike for the ride home.

Back home

Following the Nidda downstream i got to see a bit of the center of Bad Vilbel. Its quite nice and especially the public library looks pretty cool being build above and across the Nidda.

There was some major construction happening at the Train station Bad Vilbel Süd, and i had to alter my route a bit (keeping the Tron challenge in mind).

In Harheim i left the Nidda and instead followed the Eschbach upstream. Both streams were very nice to cycle along.

Finally in Bad Homburg i left the Eschbach and make my way home on my usual bike route from Frankfurt.

Tracklog

If the track looks a little too clean: I had to clean up the first half as my phone kept going into a power saving mode and loosing GPS tracking, therefore i fixed the missing parts manually. If necessary you can cross check with the metadata of the photos.