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Interrelationships of innovations and changes in transport demand have been debated for more than three
decades (Line et al. ; Salomon 1986; Senbil and Kitamura 2003; Thomopoulos, Givoni and Rietveld ;
Wagner et al. 2004). The basis of discussions has however changed fundaly over time, as opportunities
constantly evolved, specifically with the development of the smartphone. Wagner et al. (2004) and Banister and Stead
(2004) were the first to comprehensively discuss the complexity of and transport interrelationships, considering
demand responses as well as spatial and temporal distribution outcomes. Specifically, this included ‘living’,
‘working’ and ‘producing’, the latter comprising logistics, manufacturing systems, customized services, retailing and
distribution, tele-shopping, distance working and self-employment. Wagner et al. (2004) and Banister and Stead
(2004) concluded that would stimulate travel, as new ‘opportunities’ for transport became available, though
would also substitute for travel, as a growing number of tasks could be carried out at-a-distance.
A refined understanding of , social (media) networks and travel was presented by Carrasco and Miller (2006), who
found that transport demand depends on the social importance of the contacts in the network, as well as physical
distances to social activities. Evidence of transport demand growth as a result of mobile phone use was later
presented by Nobis and Lenz (2009), who found that changes in life circumstances triggered changes in mobile
phone use and travel behavior. Notably, at the time of these studies, the authors still focused on the implications of
mobile phone, regular phone and email use: Smartphones and their opportunities (apps, chats) as well as social
media had not as yet made a mass-market entry. This affirms that less than a decade ago, studies investigating
and transport interrelationships still had a starting point in considerably more limited technologies and opportunities
for use. In one of the more recent studies, Line et al. () investigated students and part-time working mothers.
They found that new technologies were embedded quickly in everyday routines, as communication opportunities
allowed for the re-scheduling and adjusting of activities and their co-ordination and organization in time and space.
al media (in particular Facebook) was identified as an important factor in the expansion of social networks,
including invitations to social events and the revival of old friendships.
Line et al. () concluded that while affected communication patterns, its implications for transport demand
change appeared to be more limited. A notable exception was long-distance relationships maintained through
Facebook, which necessitate occasional personal meetings (Larsen et al. 2006). Line et al. () also noted the
importance of mobile technologies for ‘inhabiting’ space, i.e. the use of mobile phones for navigation or listening to
the radio, as well as their potential to both “fragment” and “lubricate” life (ibid: 1498). Aguiléra, Guillot and Rallet
(2012) added to this that improved public transport experiences, security perceptions, and the possibility to make
travel time more productive (see also Wang and Law ), while Cohen-Blankshtain and Rotem-Mindali (2016)
more recently affirmed that influence perceptions of distance, accessibility and availability.
Aguiléra et al. (2012) provided new insights regarding the potential of innovations to stimulate and substitute
transport demand. Of particular importance is their finding that changes the nature of transport demand, as it
adds “new value to physical presence” (Aguiléra et al. 2012: 666). In their view, travel no longer addresses
instru needs; it makes up for 3 “relational deficits”. This is confirmed by Cohen-Blankshtain and Rotem-Mindali
(2016) who noted that lead to some travel substitution, though both physical and virtual activity types grow. Ad


Advances of Internet platforms, smartphone and tablet applications, and the rise of social media platforms are
becoming increasingly relevant in transport contexts, as they facilitate travel, allow for co-presence in the sharing of
distant lives, while also generating new forms of social and network capital (Germann Molz 2012; see also van den
Berg et al. 2013). As an example, Cohen, Prayag and Moital (2014) found that social media had gained considerable
importance for tourism behavior and mobility patterns, as a result of opportunities to communicate travel patterns.
al media can also set in motion competitive travel and changes in collective and individual identities modeled on
movement (Gössling and Stavrinidi ). The review suggests that interrelationships of transport and have
evolved over at least three decades, with several central information technologies, such as smartphone apps, having
been adopted by mass markets only more recently. As the scale of this change is unprecedented (Witt, Suzor and
Wikström ), there is evidence that the perception and use of transport systems is now increasingly shaped by
apps (van Wee ). To better understand these complexities, the paper identifies innovations and
conceptualizes these with regard to their implications for transport behavior.


The basic objectives of this study are:
i. To examine the factors of technology such as bolt and taxify and how it relates to urban transportation in the
study area.
ii. To determine the extent to which technology such as bolt and taxify affect the road transportation system in.
iii. To examine the effect of technology such as bolt and taxify on urban road transportation in the study area.
iv. To make recommendations that would improve transportation.


The hypotheses to be tested in this study are:

Ho: There is no significant relationship between technology and road safety in the study areaHo: There is no significant relationship between technology and urban transportation development.1. SIGNIFICANCE OF THE STUDY:
The study will assist the government in policy formulation as it relates to transportation. This study will educate the
stakeholders in the transportation sector and the general public on the relationship between and urban
transportation in Nigeria. This research will be a contribution to the body of literature in the area of the effect of
personality trait on student’s academic performance, thereby constituting the empirical literature for future research in
the subject area.
This study will cover the relationship between road information technology and transportation and how the duo
influence development in Nigeria.
Financial constraint- Insufficient fund tends to impede the efficiency of the researcher in sourcing for the relevant
, literature or information and in the process of data collection (internet, questionnaire and interview).
Time constraint- The researcher will simultaneously engage in this study with other academic work. This
consequently will cut down on the time devoted for the research workTHE USE OF TECHNOLOGY IN ROAD TRANSPORTATION



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