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Open AccessArticle

A System for Generating Customized Pleasant Pedestrian Routes Based on OpenStreetMap Data

by Tessio Novack *,†,‡, Zhiyong Wang †,‡ and Alexander Zipf †,‡
GIScience Research Group, Institute of Geography, Heidelberg University, 69120 Heidelberg, Germany
*
Author to whom correspondence should be addressed.
Current address: Im Neuenheimer Feld 368, 69120 Heidelberg, Germany.
These authors contributed equally to this work.
Sensors 2018, 18(11), 3794; https://doi.org/10.3390/s18113794
Received: 24 September 2018 / Revised: 26 October 2018 / Accepted: 31 October 2018 / Published: 6 November 2018
(This article belongs to the Special Issue Crowd-Sensing and Remote Sensing Technologies for Smart Cities)
In this work, we present a system that generates customized pedestrian routes entirely based on data from OpenStreetMap (OSM). The system enables users to define to what extent they would like the route to have green areas (e.g., parks, squares, trees), social places (e.g., cafes, restaurants, shops) and quieter streets (i.e., with less road traffic). We present how the greenness, sociability, and quietness factors are defined and extracted from OSM as well as how they are integrated into a routing cost function. We intrinsically evaluate customized routes from one-thousand trips, i.e., origin–destination pairs, and observe that these are, in general, as we intended—slightly longer but significantly more social, greener, and quieter than the respective shortest routes. Based on a survey taken by 156 individuals, we also evaluate the system’s usefulness, usability, controlability, and transparency. The majority of the survey participants agree that the system is useful and easy to use and that it gives them the feeling of being in control regarding the extraction of routes in accordance with their greenness, sociability, and quietness preferences. The survey also provides valuable insights into users requirements and wishes regarding a tool for interactively generating customized pedestrian routes. View Full-Text
Keywords: volunteered geographic information; pedestrian routing; human–computer interaction volunteered geographic information; pedestrian routing; human–computer interaction
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Novack, T.; Wang, Z.; Zipf, A. A System for Generating Customized Pleasant Pedestrian Routes Based on OpenStreetMap Data. Sensors 2018, 18, 3794.

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