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Unveiling Your City's Hidden Horizons: How Far Can You Travel on Foot in Minutes?

Updated: Oct 10, 2023

Calculating a route from point A to point B is easy, but what if you don't know your destination? Imagine having access to a map that not only displays the shortest paths but also reveals the vast areas you can reach within 15, 30, and 60 minutes on foot from the center of each city.

Are you in search of a new home and need to have daily or weekly necessities within a 15-minute walking distance? Do you prefer to explore the city on foot during your travels? While you know what you need, what you don't know is how far you can travel within that timeframe. So, the burning question arises: how far can you walk in one hour?

The Power of Network Analysis Network analysis comes to the rescue, helping to solve practical problems such as finding the shortest route from point A to point B or planning an itinerary that covers the most points of interest at a time, perfect for tourists and adventurers alike.

Data Collection To accomplish this feat, we collect two essential sets of data:

  • Road Network

  • City's Landmark or center.

With these building blocks in place, we proceed to the methodology that unlocks the secrets of our interactive map.

Methodology: To determine travel times, we employ a straightforward algorithm based on an assumed normal walking speed of 5 km/hour. The time (T) taken to cover a certain distance (D) can be calculated using the formula:

time = distance/speed

This formula allows us to precisely identify the areas accessible within your desired time frame, paving the way for an insightful exploration of your city's hidden horizons.

  • Create Network Datasets

Network datasets are well suited to store the data models which have the network topological relationships. Network dataset models include the network line dataset and the network node dataset, as well as the topological relationship between them. With network data models, you can perform various network analyses, such as route analysis, service area analysis, closest facility, etc.

  • Service Area Analysis

With a focus on evaluating and analyzing the service scopes of public facilities, this technique aids in selecting optimal locations. By considering the edge resistance between providers and demanders, we gain a comprehensive understanding of resource allocation without accounting for supply and demand factors.

  • Multi-Buffer Analysis

Creating multiple buffers around the geometry object based on specified buffer radius provides a nuanced perspective on the spatial distribution of accessible locations within various time limits.


The map below illustrates the areas you can reach within 15, 30, and 60 minutes of walking from the city center.

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