scholarly journals Spatial Heterogeneous Characteristics of Ridesharing in Beijing–Tianjin–Hebei Region of China

Energies ◽  
2018 ◽  
Vol 11 (11) ◽  
pp. 3214 ◽  
Author(s):  
Ye Ma ◽  
Biying Yu ◽  
Meimei Xue

Ridesharing is becoming popular in many cities in China where transportation alternatives are easily accessible. Individuals typically access services by smartphone app developed by ridesharing company to join a trip offered by other private vehicle’s drivers who share same or geographically close destination. However, there are some internal differences within this region indicating the service heterogeneity of ridesharing. In order to discover this regional heterogeneity, this paper chooses Beijing–Tianjin–Hebei (BTH) region as research target and uses BTH regional ridesharing data provided by DiDi Chuxing Company. Then, this paper conducts an in-depth study by summarizing the travel pattern characteristics and evaluating the environmental impacts that result from individuals participating in ridesharing services. Lifecycle analysis of fuel and environmental input–output are applied to estimate the direct and indirect environmental impact separately. The results reveal heterogeneous spatial heterogeneous of ridesharing, including travel pattern and environmental influence caused by service demand and supply, which results from the unbalance of regional development and infrastructure construction condition of the transportation system, and other travel behavior differences.

Author(s):  
Xiaohui Zhao ◽  
Chengfei Liu

This chapter introduces a service oriented relative workflow model as a means of helping organisations promptly create flexible and privacy-safe virtual organisation alliances. It argues that virtual organisation alliances are highly advocated to adapt to dynamic B2B collaborations, driven by the fast changing service demand-and-supply requirements. However, the temporary partnership and low trustiness between collaborating organisations put challenges to effectively manage collaborative business processes, and correspondingly an organisation centred design method and a visibility mechanism are discussed in this chapter to provide a finer granularity of authority control at contacting and collaboration design phases. Furthermore, the authors hope that understanding the establishment of a virtual organisation alliance through the use of relative workflows will not only inform researchers a better business process design methodology, but also assist in the understanding of the dynamic behaviours inside a virtual organisation alliance and the supporting approaches.


2010 ◽  
pp. 1663-1685
Author(s):  
Xiaohui Zhao ◽  
Chengfei Liu

This chapter introduces a service oriented relative workflow model as a means of helping organisations promptly create flexible and privacy-safe virtual organisation alliances. It argues that virtual organisation alliances are highly advocated to adapt to dynamic B2B collaborations, driven by the fast changing service demand-and-supply requirements. However, the temporary partnership and low trustiness between collaborating organisations put challenges to effectively manage collaborative business processes, and correspondingly an organisation centred design method and a visibility mechanism are discussed in this chapter to provide a finer granularity of authority control at contacting and collaboration design phases. Furthermore, the authors hope that understanding the establishment of a virtual organisation alliance through the use of relative workflows will not only inform researchers a better business process design methodology, but also assist in the understanding of the dynamic behaviours inside a virtual organisation alliance and the supporting approaches.


Author(s):  
Bin Zhu ◽  
Chih-Wei Hsieh ◽  
Ying Mao

Background: The maldistribution of licensed doctors is one of the major challenges faced by the Chinese health sector. However, this subject remains underexplored, as the underlying causes of licensed doctor distribution have not been fully mapped out. To fill the research void, this study theoretically modeled and empirically measured various determinants of licensed doctor distribution from both the supply and demand sides while taking the spillover effect between the adjacent geographical units into consideration. Methods: The theory of demand and supply is adopted to construct a research framework so as to explain the imbalance in the licensed doctor distribution. Both direct effects and spillover effects of the supply-side factors and demand-side factors are empirically measured with the spatial panel econometric models. Results: The health service demand was found, as expected, to be the major driving force of the licensed doctor distribution across the nation. That is, the increase in health services demands in a province could significantly help one unit attract licensed doctors from adjacent units. Unexpectedly but intriguingly, the medical education capacity showed a relatively limited effect on increasing the licensed doctor density in local units compared with its spillover effect on neighboring units. In addition, government and social health expenditures played different roles in the health labor market, the former being more effective in increasing the stock of clinicians and public health doctors, the latter doing better in attracting dentists and general practitioners. Conclusions: The results provide directions for Chinese policy makers to formulate more effective policies, including a series of measures to boost the licensed doctor stock in disadvantaged areas, such as the increase of government or social health expenditures, more quotas for medical universities, and the prevention of a brain drain of licensed doctors.


2019 ◽  
Vol 3 (4) ◽  
pp. 41
Author(s):  
Robert Riziki Kazungu ◽  
Dr. George Ochiri

Purpose: the general objective of was to determine role of inventory optimization on performance of state corporations in Kenya.Methodology: This research study adopted a descriptive research design approach targeting heads of procurement at the 187 state corporations. This method was preferred because it allowed an in-depth study of the subject. The study preferred this method because it allowed an in-depth study of the subject. To gather data, structured questionnaire will be used to collect data from 187 respondents. The research focused on primary data that was collected from questionnaires distributed to the target groups. This study collected both qualitative and quantitative data. After data collection the data was edited and coded in readiness for analysis by the researcher. The qualitative data collected was subjected to content analysis. On the other hand, the study used descriptive and inferential statistics to analyze the quantitative data. This study utilized the SPSS version 23 software to perform correlation and regression analysis on the collected data. The analyzed data was presented using statistical and graphical techniquesResults: R square value of 0.768 means that 76.8% of the corresponding variation in performance of state corporations in Kenya can be explained or predicted by (safety stock management, inventory control techniques, information technology integration and demand and supply forecasting) which indicated that the model fitted the study data. The results of regression analysis revealed that there was a significant positive relationship between dependent variable and independent variable at (β = 0.761), p=0.000 <0.05).Conclusion: The findings of the study indicated that; safety stock management, inventory control techniques, information technology integration and demand and supply forecasting have a positive relationship with performance of state corporationsPolicy recommendation: the study recommended that public institutions should embrace inventory optimization practices so as to improve their performance.


2019 ◽  
Vol 3 (4) ◽  
pp. 41-61
Author(s):  
Robert Riziki Kazungu ◽  
Dr. George Ochiri

Purpose: the general objective of was to determine role of inventory optimization on performance of state corporations in Kenya.Methodology: This research study adopted a descriptive research design approach targeting heads of procurement at the 187 state corporations. This method was preferred because it allowed an in-depth study of the subject. The study preferred this method because it allowed an in-depth study of the subject. To gather data, structured questionnaire will be used to collect data from 187 respondents. The research focused on primary data that was collected from questionnaires distributed to the target groups. This study collected both qualitative and quantitative data. After data collection the data was edited and coded in readiness for analysis by the researcher. The qualitative data collected was subjected to content analysis. On the other hand, the study used descriptive and inferential statistics to analyze the quantitative data. This study utilized the SPSS version 23 software to perform correlation and regression analysis on the collected data. The analyzed data was presented using statistical and graphical techniquesResults: R square value of 0.768 means that 76.8% of the corresponding variation in performance of state corporations in Kenya can be explained or predicted by (safety stock management, inventory control techniques, information technology integration and demand and supply forecasting) which indicated that the model fitted the study data. The results of regression analysis revealed that there was a significant positive relationship between dependent variable and independent variable at (β = 0.761), p=0.000 <0.05).Conclusion: The findings of the study indicated that; safety stock management, inventory control techniques, information technology integration and demand and supply forecasting have a positive relationship with performance of state corporationsPolicy recommendation: the study recommended that public institutions should embrace inventory optimization practices so as to improve their performance.


2020 ◽  
Vol 12 (24) ◽  
pp. 10337
Author(s):  
Nuren Abedin ◽  
Md Mahmudur Rahman ◽  
Muhammad Ismail Hossain ◽  
Kenji Hisazumi ◽  
Ashir Ahmed

Corporate employees like to save the time they spend commuting to work. However, public transport in many emerging cities is not scheduled. Only big enterprises can afford scheduled staff buses. Rideshare services (e.g., Uber, Lyft, Pathao) can be a good alternative but are not affordable for every individual. This study aims to design a group rideshare service as a sustainable alternative for potential employees. For that purpose, it is important to know their commuting pattern. A survey was carried out on 314 employees of 20 Small and Medium Enterprises (SMEs) working in one office complex. This paper reports their current travel pattern in terms of distance, cost, time, and mode of transportations to measure their potentiality to use a group rideshare service uniquely designed for a work commute. This paper recommends that employees living within a distance of 2.5–15 km, currently using motorized vehicle for their work commute, who can spend $40 USD a month for work commute and agree to a mutually-determined commuting schedule are the most fitting potential users for an effective and financially sustainable rideshare service for the studied community. The same methodology can be used to obtain the potential ride share users to design a ride share model for other similar communities.


2018 ◽  
Vol 2 (1) ◽  
pp. 67
Author(s):  
Mungai Benjamin Kimani ◽  
Dr. Allan Kihara

Purpose: The study sought to examine the challenges faced in implementing effective supply chain management practices during the distribution of the consumable products in the oil industry in Kenya with reference to Vanoil Energy Limited. The study was to establish how warehousing capabilities, strategic supplier relationships, transportation planning and demand and supply forecasting affect distribution performance of the oil industry. To achieve this, the researcher reviewed both theoretical and empirical literature and proposed the research methodology that addressed the gaps identified in literature as well as answer the stipulated research questions.Methodology: This research study adopted a descriptive research design approach. The researcher prefers this method because it allows an in-depth study of the subject. A census was conducted where all the 70 staff in procurement department were issued with questionnaires. Data was collected using self-administered questionnaires. The data collected was analysed by use of descriptive and inferential statistics. The quantitative data generated was keyed in and analysed by use of Statistical Package of Social Sciences (SPSS) version 22 to generate information which will be presented using tables, charts, frequencies and percentages. Multiple regression models were used to show the relationship between the dependent variable and the four independent variables in this study.Results: The findings of the study indicated that warehousing capabilities, strategic supplier relationships, transport planning and demand and supply forecasting have a positive relationship with effective distribution of consumable products in the oil industry.Recommendations: Finally, the study recommended that companies in the oil industry should embrace supply chain management practices so as to improve distribution performance and further researches should to be carried out in other institutions to find out if the same results can be obtained.


2013 ◽  
Vol 291-294 ◽  
pp. 3041-3045
Author(s):  
Shui Jun Peng ◽  
Hong Jing Li ◽  
Hui Zhi Zheng

This paper, based on the data of China’s input-output table in 2007, indentifies the key service sectors for the development of manufacturing by using the input-output subsystem model from the perspective of service demand and supply. Results show that from the demand side, public service sectors, e.g. Education and Public Administration, are main demanders of manufacturing products. While, from the supply side, Transportation, Financing and Business Services are the main sectors. From both sides, technology-intensive manufacturing is most closely tied to producer services.


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