relocate.tokyo: Find your next home - Introduction
Channel: Fabio Crisci
Date: 2019-01-13

https://relocate.tokyo

The population of Tokyo is forecasted to increase, not just in 2020 but in the years to come, with more and more people choosing this city as their home.
The current railway network is already overcrowded and with a slow adoption of teleworking, commuting to work will be even more crucial to achieve life-work balance.
Even for tourists, choosing a conveniently located hotel is important to enjoy traveling around the city.

Due to the vast area of Greater Tokyo and the high number of rail lines, finding the most convenient place for a home or hotel is certainly a hard task, especially for people new to the city.
The application relocate.tokyo combines the travel time, the average rent price and the number of hotels, to find locations that can be reached with a given commute from any number of selected destinations.

On the home page you can enter the destinations you'd like to be close to, for example a railway station or an Olympic venue, and the desired distance in terms of travel time and number of transfers.
Click on search to see the results page which includes a list of target stations, the average rent price in the area, the travel details to each of your desired destinations, and the number of hotels nearby.
The list can be sorted by price or distance and the average monthly rent cost is available for different types of houses for you to find the best location that meets your needs.

Once you identify a convenient location, you can easily search for hotels or houses to rent through external providers.

relocate.tokyo uses public transport data from Tokyo ODPT (stations and timetables) integrated with data form ekidata (stations in Kanagawa, Chiba, Saitama), average rent price from Suumo and number of hotels from Rakuten Travel.
The search can easily be extended to include share houses, hostels or other accommodations for which public data is available.
Timetables for missing operators is estimated. The tools created for the project are release as Open Source software.

Music: « Perception » from https://bensound.com