Average Bicycles Hired On The Santander London Bicycle Hire Scheme Assignment Sample

Introduction of How Long Are Bicycles Hired For (On Average) On The Santander London Bicycle Hire Scheme? Assignment

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The key bike hiring scheme in London , “ Santander London Bicycle Hire “ with 800 docking stations for bikes and circulation of around 12000 bikes provides the ease of access to the residents of the city and the nearby metropolitan areas . The spreads over large areas of important cities .The process for availing such facility is uncomplicated .The users can easily hire cycles using a debit/credit card for payment and following the instructions displayed on their screens..

A) Organizing and Carrying Out the Research Process

Planning for conducting the research process requires Orientation from the viewpoints of both the consumers; those are the bike hirers and the service providers, ”Santander London Bicycle Hire”.

Defining the questions of the research process and working on evaluating the average length of bike hiring and proportion of bike journeys from and to “Queen Mary’sMile End” docking station by using legitimate resources.

The process of reviewing the research process could be followed by choosing the correct analytical strategies and data sources by addressing the process with the help of qualitative methods including interviews, observations and studying the records and systematic quantitative methods namely survey ( psyche.co, 2019).

B) Evaluation and Estimation of the following 

I) Average length of bike hire 

The duration of the bike hired during the week of June can be analyzed from the given data. The total time spent by the residents on the bike scheme is 122680 hours with an average of 0.3813 hours for the entire week .The Highest being 149 hours of ride availed by 1 user from 9^th June to 15^th June .The lowest are 1 minute rides availed by 1756 users between the period of 9^th June to 15^th June ,( Sustainability-12-03285.pdf, 2020).

Duration	Number of Users	Date Range
Highest	149.25 hrs	1	9/6/2021	15/6/2021
Lowest	1 minute	1756	9/6/2021	15/6/2021
Average	0.381341	22.88045	1372.827036

Table 1: Average length of bike hire

(Source: Developed by learner)

ii) Proportion and Probability of Bike Journeys from and to “Queen Marys, Mile End” docking station.

The Total number of rides availed by the residents in the week of June during the period is 321709. Out of these rides, the users are observed to take trips to the “Queen Marys, Mile End” docking station, which is a popular cruise docking station in the city,( Fishman and Schepers, 2016) The numbers of rides to the particular terminal are 342 rides from 125 different terminal stations and 370 rides are taken by the users from this particular station to 122 different docking terminals.

No of Rides Availed	Queen Mary’s, Mile End
Queen Mary’s, Mile End	Start Station Name	370
Queen Mary’s, Mile End	End Station Name	342
Total of the above	712
Total	321709

Table 2 : Proportion of Bike Journeys Taking Place from or To the “Queen Marys, Mile End” Docking Station.

(Source: Developed by learner)

 Proportion of Bike Journeys

(Source: Developed by learner)

C) Construction of Confidence level as per the data for the following:

I) Average length of bike hire 

The appropriate inference method has been identified and applied for the construction of the confidence level of the Average length of hiring of the bike. The z has been estimated at 1.96 for construction of 95 % confidence level (Tfl.gov.uk, 2022). A presumption of 100 samples and its analysis can be stated through the parameters of mean of 22.88 and an upper CI of 23.10072 and a lower bound of 22.66018.

Construction of Confidence Level
Average length of bike hire
Duration (Minutes)
Mean	22.88045
Standard Error	0.112385
Median	16
Mode	9
Standard Deviation	63.74412
Sample Variance	4063.313
Kurtosis	4623.156
Skewness	52.6385
Range	8954
Minimum	1
Maximum	8955
Sum	7360824
Count	321708
Confidence Level (95.0%)	0.220272
Upper CI (95%)	23.10072
Lower CI (95%)	22.66018

Table 3: Confidence Interval of Average Length of Bike Hire

(Source: Developed by learner)

ii) Proportion and Probability of Bike Journeys from and to “Queen Mary’s, Mile End” docking station.

The 95 % level of confidence with respect to the demography parameter having an upper bound of 196.94 and 182.53, lower bound of 175.05 and 161.40 for bike rides to and from Queen Mary’s Docking Station respectively for the statistical tests.

Construction of Confidence level
		Proportion of bike rides to Queen Mary's Docking Station
Column 1
Mean	186
Standard Error	5.567764
Median	186
Standard Deviation	107.2427
Sample Variance	11501
Kurtosis	-1.2
Skewness	-9.70E-18
Range	370
Minimum	1
Maximum	371
Sum	69006
Count	371
Confidence Level (95.0%)	10.94843
Upper CI (95%)	196.9484
Lower CI (95%)	175.0516

Table 4: Confidence Interval of Proportion of bike rides to Queen Mary's Docking Station

 (Source: Developed by learner)

Construction of confidence level
Proportion of bike rides from Queen Mary's Docking Station
Column1
Mean	172
Standard Error	5.354126135
Median	172
Standard Deviation	99.15980368
Sample Variance	9832.666667
Kurtosis	-1.2
Skewness	3.40E-17
Range	342
Minimum	1
Maximum	343
Sum	58996
Count	343
Confidence Level (95.0%)	10.53116228
Upper CI (95%)	182.5311623
Lower CI (95%)	161.4688377

Table 5: Confidence Interval of Proportion of bike rides from Queen Mary's Docking Station

(Source: Developed by learner)

D) Hypothesis on the Average length of bike hiring Process 

Smart cities are being created with increasing technological advancements. The thesis of the Average length of bike hiring process and its consistentancy with Transport for London expectation highlights that the Santander London Bicycle charges 2 Euros unlimited trips with a constraint of time limit of 30 minutes. The pricing scheme gives incentives to users to hire the bikes for a period no longer than 30 minutes. The Cycle can therefore be returned back at any time within 24 hours. Systems such as the bike sharing scheme are an efficient tool mechanism for popularizing the ideas of alternative transport modes and methods while enhancing sustainable mobility and environment protection, helping in improving the order of travelling in the city . 

E) Hypothesis on the Proportion and Probability of Bike Journeys to and from the Queen Mary’s docking station

The Probability of Bike Journeys to and from the Queen Mary’s docking station can be seen at an increased rate by 0.2 %. The residents are therefore encouraged for decreasing usage of motored cars for short distances such as the docking station. Initiatives and promotion of numerous environment friendly methods such as bike parking, installing lockers at the working place could be used near such places. Development of time policy can also be considered to remove congestion in the transport network.

F) The Impacts of The Covid-19 Pandemic on the usage of bike hiring by people and changes in scenario 

Reduction in transport demand for limiting the spread of the covid -19 due to lockdowns and fear of transmission has brought people closer to the scheme of bike hiring and availing the Santander London Bicycle Hire Scheme. Road transport has been hit by 50 % as compared to 2019,( www.iea.org, 2020).The changes in transport behavior can be a boon for the energy sector. Bike hiring scheme providers in London have recently reported about the sales that have been quadrupled in the weeks following the pandemic and bike use has shown an increasing graph by 13% from June to July,( Pokhrel and Chhetri., 2021).

Conclusion 

The research project concludes after scientific and systematic evaluation of the provided data set, it brings forth the Average length of bike hiring systems and the proportion of rides and trips made by the users to and from the Queen Mary’s Docking Station. The confidence level has been constructed at 95 % and the values indicate that the theory defines the overall bike hiring system with an aim to use bike as a greater and widely used mode of transport.

References

Fishman, E. and Schepers, P., 2016. Global bike share: What the data tells us about road safety. Journal of safety research, 56, pp.41-45.

Lathia, N., Ahmed, S. and Capra, L., 2012. Measuring the impact of opening the London shared bicycle scheme to casual users. Transportation research part C: emerging technologies, 22, pp.88-102.

Maas, S., Attard, M. and Caruana, M.A., 2020. Assessing spatial and social dimensions of shared bicycle use in a Southern European island context: The case of Las Palmas de Gran Canaria. Transportation Research Part A: Policy and Practice, 140, pp.81-97.

Pokhrel, S. and Chhetri, R., 2021. A literature review on impact of COVID-19 pandemic on teaching and learning. Higher Education for the Future, 8(1), pp.133-141.

psyche.co, 2019 How to plan a research project Available at Https://psyche.co/guides/how-to-plan-a-research-project-in-four-clear-steps (Accessed on 14th April, 2022)

Researchgate.net, 2020 The Bike-Sharing System as an Element of Enhancing Sustainable Mobility Available at https://www.researchgate.net/publication/340843068_The_Bike-Sharing_System_as_an_Element_of_Enhancing_Sustainable_Mobility-A_Case_Study_based_on_a_City_in_Poland#:~:text=In%20recent%20years%2C%20in%20many,using%20other%20modes%20of%20transport. (Accessed on 14th April, 2022)

Tfl.gov.uk ,2022, What you pay Available at Https://tfl.gov.uk/modes/cycling/santander-cycles/what-you-pay(Accessed on 14th April,2022)

Iea.org, 2020, Changes in transport behavior during the Covid-19 crisis Available at Https://www.iea.org/articles/changes-in-transport-behaviour-during-the-covid-19-crisis (Accessed on 14th April, 2022)