Ride-sharing Service in Bangladesh: Contemporary States and Prospects

Islam, Saiful; Huda, Ekramul; Nasrin, Farjana

doi:10.5539/ijbm.v14n9p65

Cited by 17 publications

(14 citation statements)

References 12 publications

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“…Nevertheless, gig work has remained popular, particularly in South Asia: India and Bangladesh are amongst the fastest growing freelancer markets in the world [39]. Ride sharing services are increasingly popular within Bangladesh [27] and their unregulated growth has encouraged tens of thousands of rural and suburban youths to migrate to metropolitan areas, prompting calls for regulatory action [14]. Ahmed argues that those in Bangladesh without access to digital technologies cannot access these new employment opportunities [1], further deepening an existing digital divide and highlighting concerns around workers being underpaid, overworked, and constantly monitored [24].…”

Section: The Gig Economy and South Asiamentioning

confidence: 99%

“…This paper works within this space to highlight the particular importance of producing value-centred technologies within the 'gig economy': the use of online platforms to connect customers to workers, an industry which has seen a worldwide explosion in popularity in recent years [27,49,53]. The technologies that power the gig economy need to account for and balance the disparate needs of two primary stakeholder groups: their customers (and, in turn, company proft), and their workers (whose requirements may vary, based on context and feld of work [10]).…”

Section: Introductionmentioning

confidence: 99%

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Critically Engaging with Embedded Values through Constrained Technology Design

Richardson

Cumbo

Bartindale

et al. 2022

Designing Interactive Systems Conference

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The rise of gig economy platforms has highlighted the impact platform and algorithm design can have upon workers' experiences. This paper reports on an extended series of collaborative design engagements with a private company and an international nongovernment organisation during the production of an Interactive Voice Response component for a gig economy platform. We present the fndings of a design ethnography undertaken during this process, and discuss how design decisions refect how each party's values, motivations and assumptions are embedded within the fnal technology. There exists a need for simple methods to assist practitioners to surface and critically engage with the disparate values, priorities and assumptions held by the system's stakeholders. We demonstrate that this can be done during the production of realworld systems through the application of constrained design as a values lever, and discuss how constraint-based values levers can support critical refection, even in resource-constrained commercial development contexts. CCS CONCEPTS• Human-centered computing → HCI design and evaluation methods; User centered design.

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Section: The Gig Economy and South Asiamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Critically Engaging with Embedded Values through Constrained Technology Design

Richardson

Cumbo

Bartindale

et al. 2022

Designing Interactive Systems Conference

View full text Add to dashboard Cite

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“…the ride-sharing service providers come at a higher expense (Islam et al, 2019). Fare plays a great role in the consumption decision of users.…”

Section: Ramjmentioning

confidence: 99%

“…Service providers like Uber, Pathao or Shohoz make more sales on the two-wheeler services. If these companies do not carefully design the expense, it may lead to lower than expected growth of ride-sharing services in the future (Islam et al, 2019). Ride-sharing service is a relatively new concept in Bangladesh, yet a popular one.…”

Section: Ramjmentioning

confidence: 99%

Sharing economy services in Dhaka: a change towards women’s perception of commuting

Hoque

Saumi

2021

RAMJ

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Purpose In the modern era of transportation, using a ride-sharing service can add an extra value to the lifestyles of women. Also, women are thinking about the ride-sharing service, what are the factors they consider while purchasing the service and so on. The purpose of this study is to find out women’s perception of ride-sharing services. Design/methodology/approach This paper is based on deductive research approach and descriptive research design. This paper has followed mixed research method by using qualitative and quantitative data. By dividing the larger population into subgroups, the researchers have conducted a survey on 240 respondents. To select these respondents, researchers have applied simple random technique. Based on a survey on consumers’ buying behaviour of ride-sharing service, the researchers tested the impact of tangibility, reliability, safety, fare, efficiency and convenience as the factors for choosing ride-share rather than other public transportation. Findings The study results indicate that reliability which includes consistency, punctuality and schedule routes are the major concerning issue for women while choosing ride-share service. Women are also concerned about efficiency which includes global positioning system tracking, smartphone technology and so on. One of the important criteria for choosing a ride-sharing service is safety, which includes verified drivers, and drivers review scores. So, reliability, efficiency and safety are the most effective issues. On the other hand, tangibility, fare and convenience do not affect that much. Originality/value To the best of the authors’ knowledge, this is the first research to scrutinize the sharing economy service in Dhaka city towards women’s perception of commuting.

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“…In the same year, in the midst of the pandemic, the per capita income of Bangladesh increased from $2064 to $2227 [4], which demonstrates that the purchasing power of its citizens has risen, as seen by the establishment of numerous small and medium-sized businesses. Additionally, with the emergence of ride-sharing services [5] such as Uber, Pathao, and Shohoz, the demand for pre-owned vehicles has been found to increase substantially [6].…”

Section: Used Car Market In Bangladeshmentioning

confidence: 99%

Application of Machine Learning Techniques to Predict the Price of Pre-Owned Cars in Bangladesh

et al. 2021

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Pre-owned cars (i.e., cars with one or more previous retail owners) are extremely popular in Bangladesh. Customers who plan to purchase a pre-owned car often struggle to find a car within a budget as well as to predict the price of a particular pre-owned car. Currently, Bangladesh lacks online services that can provide assistance to customers purchasing pre-owned cars. A good prediction of prices of pre-owned cars can help customers greatly in making an informed decision about buying a pre-owned car. In this article, we look into this problem and develop a forecasting system (using machine learning techniques) that helps a potential buyer to estimate the price of a pre-owned car he is interested in. A dataset is collected and pre-processed. Exploratory data analysis has been performed. Following that, various machine learning regression algorithms, including linear regression, LASSO (Least Absolute Shrinkage and Selection Operator) regression, decision tree, random forest, and extreme gradient boosting have been applied. After evaluating the performance of each method, the best-performing model (XGBoost) was chosen. This model is capable of properly predicting prices more than 91% of the time. Finally, the model has been deployed as a web application in a local machine so that this can be later made available to end users.

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Ride-sharing Service in Bangladesh: Contemporary States and Prospects

Cited by 17 publications

References 12 publications

Critically Engaging with Embedded Values through Constrained Technology Design

Critically Engaging with Embedded Values through Constrained Technology Design

Sharing economy services in Dhaka: a change towards women’s perception of commuting

Application of Machine Learning Techniques to Predict the Price of Pre-Owned Cars in Bangladesh

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