Introduction
The issue of the links between the development of ICT (Information and Communication Technologies) and individual travel has grown in importance and also undergone profound changes in recent years, firstly with the arrival of the Internet and mobile technologies and secondly with the growing interest in society (and in the social sciences) in the subject of mobility (Ben-Elia et al., 2018; Sheller and Urry, 2006; Urry, 2012). One reason is environmental: transport accounts for nearly a quarter of current energy-related carbon dioxide emissions and car travel for more than three-quarters of all vehicle kilometers traveled. ICT could reduce our need to travel physically, by providing ways for a growing number of day-to-day activities to be carried out remotely (online shopping, teleworking, videoconferencing, etc.) (Aguiléra et al., 2012). Another reason relates, more broadly, to the way ICT is contributing to changes in lifestyles and, in particular, their spatial dimension (Aguiléra et al., 2012; Hubers et al., 2011; Sasaki and Nishii, 2010; Sheller and Urry, 2006; Schwanen and Kwan, 2008). With the Internet and mobile technologies, there is also growing interest in the consequences of the use of ICT while on the move, of the penetration of the digital economy (in particular the sharing or collaborative economy) into the mobility sphere, and of the massive production of new geolocated data (Wang et al., 2016).
For a long time, the main focus of the literature was on the potential effects of growing ICT use on the number of trips. The debates pitted the argument that physical travel would be replaced by remote interactions (as certain activities became virtual) against the view that physical and virtual displacement were complementary. The truth is now out: ICT and mobility needs increase in parallel (Choo and Mokhtarian, 2007). However, the link is not direct (Aguiléra et al., 2012). Moreover, the question of the links between ICT and mobility goes well beyond the numbers of trips. It relates to complex transformations in lifestyles in the short-, medium-, and long-term, involving socioeconomic, cultural, and geographical factors (Aguiléra et al., 2012; Ben-Elia et al., 2018; Urry, 2012). Schedules of activity, the distribution of tasks within households, relations to space, route finding, methods of orientation, etc. are all domains that have been transformed, whether primarily or indirectly, by the use of technologies.
The spectacular development of mobile ICT (especially mobile phones and now smartphones) also casts new light on the relations between ICT and travel practices, in the new capacity to use technologies (and in particular the Internet) while on the move (Aguiléra et al., 2012). Much research has been done on the possibilities raised by GPS and mobile phone data in the measurement, analysis and modeling of individual travel behavior (Calabrese et al., 2013; Chen et al., 2016; JÀrv et al., 2014; Raento et al., 2009; Iqbal et al., 2014). The implications for travel practices as such have been less documented, except for the mobile phone, where the research is of limited interest for this chapter, since Internet access via the smartphone profoundly changes the landscape.
The two great ICT revolutions in recent years are, firstly, the Internet and, secondly, the fact that these technologies have become both personal and mobile. The smartphone owes its success to the fact that it represents the convergence of these changes. With it, mobility has become genuinely connected; in other words, individuals (subject to network coverage) have access to an unprecedented mass of content and contacts, notably, through access to the different social networks and mobile applications (Adoue, 2016). With the mobile phone, connectedness was only partial, limited to the content of one's address book. Mobile Internet considerably widens the possibilities of using ICT for many purposes including receiving and sending information while on the move. It therefore offers new prospects for transformations in travel practices. First, the smartphone makes it easier to manage mobility through access to real-time information: traffic jams, better routes, arrival time of the next bus, comparison of the performance of different modes on a route (in terms of cost, speed, CO2 emissions, calories used, etc), availability of a parking space, etc. Second, the access to multiple mobile content considerably broadens the range of activities possible while on the move and changes perceptions of transport times (Adoue, 2016; Jain and Lyons, 2008; Lyons and Urry, 2005). Third and finally, the arrival of digital technologies in the field of passenger transport has fostered the development of new mobility services, either by modifying the operating conditions of previous services such as the taxi (Uber, Lyft, etc.) and bike and car rental, or by developing shared mobility services (carsharing, ridesharing). These services are enhanced by the real-time coordination between providers and users via digital platforms, which widen the possibilities of matching supply and demand, facilitate financial transactions, and, to a certain degree, make sharing a journey with a stranger less risky. Another prospect is better mobility regulation, especially in big urban areas, thanks to the new capacity for the real-time processing of large masses of mobility data. The development of ITS (Intelligent Transport Systems) and, more broadly, of âsmart citiesâ where technology is used to optimize flow management is a new prospect for which governments hold high hopes.
This chapter proposes a review of the literature on the relations between ICT and travel practices, with an emphasis on the transformations associated with the spread of the smartphone. On this point, the thinking tends to be prospective since empirical research is still somewhat scanty. The focus is on the links between ICT, lifestyles, and individual mobility. The question of ITS (Intelligent Transport Systems) is therefore not tackled, except in terms of the influence of travel information services (traffic jams, faster routes, etc.) on individual travel practices. As for the new mobility services, they are considered here primarily from the perspective of the transformations in travel practices that their development might foster.
The first part of the chapter looks at the links between the growing use of ICT and lifestyles, in terms of changes in the use of time and in activity schedules; in other words how activities are arranged in time and in space and in particularâsince we are interested in mobilityâbetween home and the outside world (Ben-Elia and Zhen, 2018). The second part discusses how the smartphone is changing the perception and utility of time spent in traveling and the consequences of this for travel practices (Adoue, 2016; Jain and Lyons, 2008; Lyons and Urry, 2005). Finally, the third part of the chapter analyzes the influence of the development of new mobility services, which either are changing the operational conditions of existing services such as the taxi (Uber, Didi, etc.) and/or seek to promote shared mobility practices, particularly in the sphere of car use (like carsharing and ridesharing).
1. Uses of Time and Activity Schedules
Travel behavior depends on how individuals use time and organize their activities in time and in space (HĂ€gerstrand, 1970). Uses of time and schedules of activity vary according to socioeconomic factors (such as age, income level, work status, gender, family structure) and cultural and geographical factors, such as living in a dense urban environment or, conversely, a long way from jobs and urban services. In return, household transport conditions (e.g., access to one or more vehicles) and transport conditions in the area of residence (such as the presence of public transport) influence the activities that individuals pursue and their spatiotemporal organization.
ICT is involved in a growing number of human activities. We increasingly use technologies to work, communicate, read a newspaper, do our shopping, entertain ourselves, etc (Vilhelmson and Thulin, 2008). This growing embeddedness of technologies in human activities takes complex forms. It is increasing the time devoted to purely virtual activities (such as playing online video games, chatting on social networks, etc.). As a result, it is leading to often significant reorganizations of activities in time and space, notably, with regard to the choice between âremoteâ activity and physical trip(s) (Cairncross, 2001; Kwan, 2007; Ohmori, 2009; Schwanen et al., 2008).
The smartphone extends ...