Customer Preference and Station Network in the London Bike Share System

2018 ◽  
Author(s):  
Fanyin Zheng ◽  
Pu He ◽  
Elena Belavina ◽  
Karan Girotra
Keyword(s):  
Station Network ◽  
Customer Preference ◽  
Bike Share

Customer Preference and Station Network in the London Bike-Share System

2020 ◽  
Author(s):  
Pu He ◽  
Fanyin Zheng ◽  
Elena Belavina ◽  
Karan Girotra
Keyword(s):  
Network Effects ◽  
Demand Model ◽  
Station Network ◽  
Customer Preference ◽  
On Demand ◽  
Structural Demand ◽  
City Of London ◽  
The City ◽  
Station Density ◽  
Bike Share

We study customer preference for the bike-share system in the city of London. We estimate a structural demand model on the station network to learn the preference parameters and use the estimated model to provide insights on the design and expansion of the bike-share system. We highlight the importance of network effects in understanding customer demand and evaluating expansion strategies of transportation networks. In the particular example of the London bike-share system, we find that allocating resources to some areas of the station network can be 10 times more beneficial than others in terms of system usage and that the currently implemented station density rule is far from optimal. We develop a new method to deal with the endogeneity problem of the choice set in estimating demand for network products. Our method can be applied to other settings in which the available set of products or services depends on demand. This paper was accepted by Gabriel Weintraub, revenue management and market analytics.

Expanding Acceptance and Outreach: A Case of Patanjali Ayurved Products

2018 ◽  
Vol 5 (1) ◽  
Author(s):  
Ritesh Dwivedi
Keyword(s):  
Healthy Lifestyle ◽  
Marketing Mix ◽  
Personal Satisfaction ◽  
Way Of Life ◽  
Herbal Products ◽  
Product Usage ◽  
Herbal Treatment ◽  
Customer Preference ◽  
Client Needs ◽  
Day By Day

Customers of this era have turned out to be more worried about their wellbeing and furthermore slanted to keep up personal satisfaction which is reflected through the special utilization of those items that ensures the great condition of their wellbeing and additionally give most extreme fulfilment. In quest for a healthy way of life Indians have turned out to be more disposed to Ayurvedic or Herbal treatment as an option for common cure. This specific inclination has been in charge of exceptional prominence of Baba Ramdev's Patanjali Ayurvedic items. In today's huge market with changing client needs, Baba Ramdev has built up a special mix of innovation with Ayurveda, affordable pricing, easy accessibility under the brand Patanjali to pull the market. The Ayurveda theory and the key to healthy lifestyle has attracted many customers and changed their perspective about their lifestyle and product usage. Purpose of the study is to evaluate the preference of Patanjali over other leading products while understanding the its marketing mix. The consumer belief in natural and herbal products has become stronger day by day and created huge change in customer preference over other brands.

scholarly journals Life-Cycle Assessment of Carbon Footprint of Bike-Share and Bus Systems in Campus Transit

2020 ◽  
Vol 13 (1) ◽  
pp. 158
Author(s):  
Sishen Wang ◽  
Hao Wang ◽  
Pengyu Xie ◽  
Xiaodan Chen
Keyword(s):  
Life Cycle Assessment ◽  
Life Cycle ◽  
Energy Consumption ◽  
Carbon Footprint ◽  
Co2 Emission ◽  
Raw Material ◽  
Transit System ◽  
Two Systems ◽  
Bus System ◽  
Bike Share

Low-carbon transport system is desired for sustainable cities. The study aims to compare carbon footprint of two transportation modes in campus transit, bus and bike-share systems, using life-cycle assessment (LCA). A case study was conducted for the four-campus (College Ave, Cook/Douglass, Busch, Livingston) transit system at Rutgers University (New Brunswick, NJ). The life-cycle of two systems were disaggregated into four stages, namely, raw material acquisition and manufacture, transportation, operation and maintenance, and end-of-life. Three uncertain factors—fossil fuel type, number of bikes provided, and bus ridership—were set as variables for sensitivity analysis. Normalization method was used in two impact categories to analyze and compare environmental impacts. The results show that the majority of CO2 emission and energy consumption comes from the raw material stage (extraction and upstream production) of the bike-share system and the operation stage of the campus bus system. The CO2 emission and energy consumption of the current campus bus system are 46 and 13 times of that of the proposed bike-share system, respectively. Three uncertain factors can influence the results: (1) biodiesel can significantly reduce CO2 emission and energy consumption of the current campus bus system; (2) the increased number of bikes increases CO2 emission of the bike-share system; (3) the increase of bus ridership may result in similar impact between two systems. Finally, an alternative hybrid transit system is proposed that uses campus buses to connect four campuses and creates a bike-share system to satisfy travel demands within each campus. The hybrid system reaches the most environmentally friendly state when 70% passenger-miles provided by campus bus and 30% by bike-share system. Further research is needed to consider the uncertainty of biking behavior and travel choice in LCA. Applicable recommendations include increasing ridership of campus buses and building a bike-share in campus to support the current campus bus system. Other strategies such as increasing parking fees and improving biking environment can also be implemented to reduce automobile usage and encourage biking behavior.

Stochastic investigation of daily air temperature extremes from a global ground station network

2021 ◽  
Author(s):  
Konstantinos-Georgios Glynis ◽  
Theano Iliopoulou ◽  
Panayiotis Dimitriadis ◽  
Demetris Koutsoyiannis
Keyword(s):  
Air Temperature ◽  
Temperature Extremes ◽  
Station Network ◽  
Ground Station

scholarly journals Bike Share Responses to COVID-19

2021 ◽  
pp. 100353
Author(s):  
Jeffrey Jobe ◽  
Greg P. Griffin
Keyword(s):  
Bike Share
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