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Smartphone App Evolution and Early Understanding from a Multimodal App User Survey

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Disrupting Mobility

Part of the book series: Lecture Notes in Mobility ((LNMOB))

Abstract

Travelers are increasingly turning to smartphone applications for an array of transportation functions. Four types of transportation apps have emerged: (1) mobility apps; (2) connected vehicle apps; (3) smart-parking apps; and (4) courier network service (CNS) apps. This chapter discusses the history and trends leading to the growth and development of transportation apps and summarizes key characteristics of 83 transportation apps identified through an Internet search cataloging transportation apps with more than 10,000 downloads each. Seventy-one percent of the 83 apps identified incorporated a real-time data function (e.g., traffic conditions, roadway incidents, parking availability, and public transit wait times). Additionally, the chapter reports on findings from a survey, conducted in spring 2016, of 130 app users who downloaded the RideScout mobility aggregator app (which ceased operations in August 2016). The survey, which asked respondents questions about their use of mobility aggregators more generally, sought to understand how multi-modal information apps shift travel behavior. The findings showed that most users of such apps would walk, drive alone, and carpool during a typical month. Fifty percent of respondents drove alone once or more per day. Twenty-five percent owned one vehicle, and 75% owned two or more vehicles. Thirty-nine percent of respondents reported that they drove less or much less due to the apps. Findings from the survey suggest that multi-modal app users do change their travel behavior in response to information provided, and they may contribute to a reduction in vehicle use.

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Notes

  1. 1.

    Bluetooth Low Energy (BLE): With BLE, wireless transmitters, known as BLE beacons (approximately the size of a matchbox with a coverage radius measured in feet) send Bluetooth signals to smartphones and other Bluetooth-enabled mobile devices. BLE communicates with many users, allowing notifications for coupons, offers, and promotional information when entering the Bluetooth range. For example, a user walking past a bikesharing kiosk, public transit station, or a bus stop could be notified of bicycle availability, special rates, or the departure time of the next public transit vehicle. BLE also supports beacon-based navigation, which can assist in guiding users to destinations. San Francisco International Airport is using BLE-beacon technology to assist the visually impaired in navigating its terminals. BLE also supports mobile payment [5].

  2. 2.

    Near Field Communications (NFC): With NFC, smartphones communicate with postage-stamp sized NFC tags. NFC has a range of about seven inches and communicates with a single user. NFC is best suited for settings requiring one-on-one secure data delivery. NFC can be used for mobile payment, transportation passes, and access cards (e.g., entering a carsharing vehicle).

  3. 3.

    An API, short for “Application Programming Interface” is a set of routines, protocols, and tools for building software and applications. APIs can help developers and smartphone apps share data and information between apps and make it easier for third parties to develop apps and incorporate features from existing apps.

References

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  5. Mogg, T.: SFO trials beacon-based navigation system to help blind visitors explore terminal. Digital Trends, 4 Aug 2014. www.digitaltrends.com/mobile/sfo-trials-beacon-based-navigation-system. Accessed 15 Sept 2016

  6. Shaheen, S., Cohen, A., Zohdy, I., Kock, B.: Smartphone applications to influence travel choices: practices and policies. FHWA-HOP-16-023, U.S. Department of Transportation, Washington, DC, www.ops.fhwa.dot.gov/publications/fhwahop16023/index.htm (2016). Accessed 15 Sept 2016

  7. Soomro, D.: Android OS still the top mobile OS in U.S. Retrieved from Android Central: http://androidcentral.us/2015/04/android-os-still-the-top-mobile-os-in-u-s. Accessed Apr 2015

  8. Herger, M.: Resources. The Enterprise Gamification Consultany. www.enterprise-gamification.com (2012)

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Acknowledgments

The authors would like to thank Apaar Bansal, Nelson Chan, Corwin Bell, Apoorva Musunuri, and Teddy Forscher of the UC Berkeley Transportation Sustainability Research Center; Ismail Zohdy of Booz Allen Hamilton; Beaudry Kock and Regina Clewlow of RideScout (now Moovel); Wayne Bermand and Allen Greenberg of the Federal Highway Administration; and UCCONNECT for their generous support of this research. The authors would also like to thank the many specialists and practitioners that provided invaluable expertise on smartphone apps at a 1-day workshop in July 2015. Finally, we thank the RideScout survey respondents for their time in responding to our questionnaire. The contents of this chapter reflect the views of the authors and do not necessarily indicate sponsor acceptance.

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Correspondence to Susan Shaheen .

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Shaheen, S., Cohen, A., Martin, E. (2017). Smartphone App Evolution and Early Understanding from a Multimodal App User Survey. In: Meyer, G., Shaheen, S. (eds) Disrupting Mobility. Lecture Notes in Mobility. Springer, Cham. https://doi.org/10.1007/978-3-319-51602-8_10

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  • DOI: https://doi.org/10.1007/978-3-319-51602-8_10

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  • Publisher Name: Springer, Cham

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