Harsh brakes at potholes in Nairobi: Context-based driver behavior in developing cities

Walcott-Bryant, Aisha; Tatsubori, Michiaki; Bryant, Reginald E.; Oduor, Erick; Omondi, Samuel Onyango; Osebe, Samuel; Wamburu, John; Bent, Oliver

doi:10.1109/itsc.2016.7795626

Cited by 6 publications

(6 citation statements)

References 10 publications

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“…We found few research related to RTAs in the period 2015-2020 reported in literature in relation to the prevalence of the menace (Manyara, 2016), (Fraser et al, 2020) (Bachani et al, 2017), (Myers et al, 2017), (Walcott-Bryant et al, 2016). This is also true for durations not covered in the paper.…”

Section: Research and Public Awareness In Rtasmentioning

confidence: 77%

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Trend analysis and fatality causes in Kenyan roads: A review of road traffic accident data between 2015 and 2020

et al. 2020

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Section: Research and Public Awareness In Rtasmentioning

confidence: 77%

“…Compared to the demographics of this regions, population plays a major role in the statistics. Road network development has been pointed out by (Gichaga, 2017) and (Walcott-Bryant et al, 2016) to impact RTA in the country. From Table 4, only three out of the top five counties have a paved road greater than 1000 km 2 .…”

Section: Machine Learning Categorizationmentioning

confidence: 99%

Trend analysis and fatality causes in Kenyan roads: A review of road traffic accident data between 2015 and 2020

et al. 2020

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“…In most cases where driver engagement was required, such as in works that sought to reduce speeding [47], monitor driving behaviours [27,51] or detect drowsiness [61], smart phones (specifically Android) were used. Due to their ubiquity, smart phones have also been used as cost-effective ways of collecting data about road conditions for infrastructure planning [39,53,57].…”

Section: Cross-cutting Connectionmentioning

confidence: 99%

“…The work also discussed the status of ICT in these cities and its capacity to support transportation. The authors in [51] investigated the application of smartphones in determining driving behaviours influenced by road conditions in Kenya. It was inferred that the presence of potholes, unlabelled speed bumps and similar obstacles influenced driving patterns and consequently impacted on insurance (in the context of Usage-Based Insurance).…”

mentioning

confidence: 99%

Transport Inequalities and the Adoption of Intelligent Transportation Systems in Africa: A Research Landscape

et al. 2021

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Intelligent Transportation Systems (ITS), also known as Smart Transportation, is an infusion of information and communication technologies into transportation. ITS are a key component of smart cities, which have seen rapid global development in the last few decades. This has in turn translated to an increase in the deployment and adoption of ITS, particularly in countries in the Western world. Unfortunately, this is not the case with the developing countries of Africa and Asia, where dilapidated road infrastructure, poorly maintained public/mass transit vehicles and poverty are major concerns. However, the impact of Westernization and “imported technologies” cannot be overlooked; thus, despite the aforementioned challenges, ITS have found their way into African cities. In this paper, a systematic review was performed to determine the state of the art of ITS in Africa. The output of this systematic review was then fed into a hybrid multi-criteria model to analyse the research landscape, identify connections between published works and reveal research gaps and inequalities in African ITS. African peculiarities inhibiting the widespread implementation of ITS were then discussed, followed by the development of a conceptual architecture for an integrated ITS for African cities.

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“…This particular scoring model would allow for a direct extension of common tariff functions, either by using ex post discounts or by entering an ex ante risk factor into the tariff model. Walcott-Bryant et al [34] extend current usage-based insurance models and present context-based driving scores and driving behavior that include weather, time-of-day, and road quality. Most of the studies only pinpoint how insurers can appraise the behavior and attitudes of drivers.…”

Section: The Dissection Of Relationships Among Main Stakeholdersmentioning

confidence: 99%

An Acceptance Approach for Novel Technologies in Car Insurance

et al. 2020

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Background: Unlike other financial services, technology-driven changes in the insurance industry have not been a vastly explored topic in scholarly literature. Incumbent insurance companies have hitherto been holding their positions using the complexity of the product, heavy regulation, and gigantic balance sheets as paramount factors for a relatively slow digitalization and technological transformation. However, new technologies such as car telematic devices have been creating a new insurance ecosystem. The aim of this study is to assess the telematics technology acceptance for insurance purposes. Methods: The study is based on the Unified Theory of Acceptance and Use of Technology (UTAUT). By interviewing 502 new car buyers, we tested the factors that affect the potential usage of telematic devices for insurance purposes. Results: The results indicate that facilitating conditions are the main predictor of telematics use. Moreover, privacy concerns related to the potential abuse of driving behavior data play an important role in technology acceptance. Conclusions: Although novel insurance technologies are mainly presented as user-driven, users (drivers and insurance buyers) are often neglected as an active party in the development of such technologies.

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Harsh brakes at potholes in Nairobi: Context-based driver behavior in developing cities

Cited by 6 publications

References 10 publications

Trend analysis and fatality causes in Kenyan roads: A review of road traffic accident data between 2015 and 2020

Trend analysis and fatality causes in Kenyan roads: A review of road traffic accident data between 2015 and 2020

Transport Inequalities and the Adoption of Intelligent Transportation Systems in Africa: A Research Landscape

An Acceptance Approach for Novel Technologies in Car Insurance

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