###### Abstract
The mobile application developed by [PERSON] et al., is similar in many respects, yet it covers outdoor points of interest [13]. In a web-based study on indoor accessibility in Bologna, Italy, points of interest were presented to users using nominal symbols [14]. A web-based study was also conducted for European capitals, in which outdoor data were collected by users through OpenStreetMap (OSM). In this study, only map symbols were used, and the most suitable route was determined using the map-matching method [8]. The main feature that distinguishes the study [15] from others is the effective use of GPS. A web-based study was also conducted, in which data were collected in a controlled manner through a game presented to users [16]. The system introduced by [PERSON] et al., is a system that focuses on analyzing indoor and outdoor accessibility requirements and is fed by three sources (data collected by sensors, reports added by users, and reports generated by administrators) [17]. In MAGUS, a web-based navigation service introduced by [PERSON] et al., the optimal routes are calculated based on six routing criteria (shortest distance, fewest obstacles, least slope, avoiding difficult surfaces, using only controlled crossings, and limited road crossings) [18]. A web-based routing tool, U-Access, introduced by [PERSON] and [PERSON], aims to determine the shortest routes for people with three ability levels ((1) unassisted mobility, assisted mobility: (2) cane or (3) wheelchair users) [19]. Another study [20] introduces OurWay, a mobile pedestrian navigation prototype with special functionalities for people with limited mobility or parents using strollers. In order to determine personalized routes, one study [21] used an absolute constraint method, whereas another study [22] used a multi-metric algorithm. In the study conducted by [PERSON] et al., accessible routes were determined using sensor and crowdsourcing data [13]. As for the EasyWheel application, wheelchair users are supported by review articles [23]. There is also a series of studies on map matching based on four different methods for wheelchair navigation (Chain-Code, Hidden Markov Model, Fuzzy Logic, and Movement PatternRecognition) [24; 25; 26; 27]. Path 2.0, a navigation service developed in Italy, aims to capture user behavior without any clues regarding their motivations or preferences. For this purpose, the daily movements of a wheelchair user are tracked and presented as accessible paths to another user when desired [28]. The literature review has revealed the following:  
* More web applications have been developed than mobile applications. * Almost all of these applications are intended for assisted mobility users only, and very few are also intended for unassisted mobility users. * Almost all of these applications offer users the most convenient route, and very few also offer options such as the shortest route. * Weighting, map-matching, multi-criteria, and artificial intelligence methods were used for route determination. * As data sources, maps, users, and sensors have approximately equal weights in these applications. * Most of them are intended for the outdoors. * Mainly map symbols are used in communication. * Most of them are not feedback-based; in other words, users are not informed about status changes regarding obstacles. * In some applications, only nominal; in some only, ordinal; and in some applications, both nominal and ordinal map symbols are used. There is no clear preference between nominal/ordinal map symbols. * Data entry is open to users in half of the applications and closed to users in the other half. * Approximately half of the applications are unsupervised and uncontrolled in terms of data entry; therefore, there is no certainty about the accuracy of the disability information presented to users. * Although most of them are academic studies, there is also a commercial application and social responsibility project. * None of them have the concept of temporary obstacles, such as a vehicle parked in front of a ramp.