scholarly journals Investigating the Influential Factors of Shared Travel Behavior: Comparison between App-Based Third Taxi Service and Free-Floating Bike Sharing in Nanjing, China

2019 ◽  
Vol 11 (16) ◽  
pp. 4318 ◽  
Author(s):  
Mingyang Du ◽  
Lin Cheng ◽  
Xuefeng Li ◽  
Jingzong Yang

In recent years, app-based third taxi service (ATTS) and free-floating bike sharing (FFBS) have become significant travel modes to satisfy travel demands of urban residents. In order to explore the mechanism of their modes selection, firstly, based on 595 valid samples, differences between ATTS and FFBS in original modes, travel distance, geographical position distribution, and travel emergency degree were compared. Then, a multinomial logistic model was established to investigate the factors influencing the choice among ATTS, FFBS, and traditional travel modes (TTM). The results show that: (1) FFBS attracts users whose original modes are walking, private bicycle and bus, while ATTS has a certain competition effect on cruising taxi and bus. (2) Residents are more likely to change from bus to FFBS on weekends, while this competitive relationship between ATTS and bus has no significant difference in different dates. (3) Compared with TTM, residents are more inclined to utilize shared modes to participate in flexible activities, especially in suburb. (4) Interestingly, ATTS is more likely to be utilized in emergency travel, and the residents without registered permanent residences tend to use FFBS and ATTS. Finally, some suggestions and policies were proposed for the government and enterprises to improve operation managements.

GIS Business ◽  
2018 ◽  
Vol 13 (1) ◽  
pp. 1-9
Author(s):  
Gunjan Sharma ◽  
Tarika Singh ◽  
Suvijna Awasthi

In the midst of increasing globalization, the past two decades have observed huge inflow of outside capital in the shape of direct and portfolio investment. The increase in capital mobility is due to contact between the different economies across the globe. The growing liberalization in the capital market leads to the growth of various financial products and services. Over the past decade, the Indian capital market has witnessed numerous changes in the direction of developing the capital markets more robust. With the growing Indian economy, the larger inflow of funds has been fetched into the capital markets. The government is continuously working on investor’s education in order to increase retail participation in the Indian stock market. The habits of the risk-averse middle class have been changing where these investors started participating in the Indian stock market. It is an explored fact that human beings are irrational and considering this fact becomes imperative to investigate factors that influence the trading decisions. In this research, ‘an attempt has been made to investigate various factors that affect the individual trading decision’. The data has been collected from various stockbroking firms and from clients of those stockbroking firms their opinions were recorded by means of a questionnaire. Data collected through the structured questionnaire, 33 questions were prepared which was given to the 330 respondents on the basis of convenience sampling out of which 220 individuals filled questionnaire, the total of 200 questionnaires was included in the study after eliminating the incomplete questionnaire. Various factors are being explored from the literature and then with the help of factor analysis some of the most influential factors have been explored. Factors like overconfidence, optimism, cognitive bias, herd behavior, advisory effect, and idealism are the factors which influenced the trading decision of the investors the most. Such kind of a study is contributing in the area of behavioral finance as a trading decision is an important aspect while investing in the stock market. And this kind of study would be helping and assisting financial advisors to strategies for their clients in making the right allocation and also the policy maker and market regulators to come up with better reforms for the Indian stock markets.


Author(s):  
Youngjun Park ◽  
Haekwon Chung ◽  
Sohyun Park

Aim: This study explores the changes in regular walking activities during the phases of the pandemic. Background: With the spread of COVID-19 transmission, people are refraining from going out, reducing their physical activity. In South Korea, COVID-19 broke out in the 4th week of 2020 and experienced the first cycle phases of the pandemic, such as outbreak, widespread, and decline. In response to the pandemic, the government encouraged voluntary participation in social distancing campaigns, and people reduced their outside activities. Methods: This article examines the decrease and increase of the Prevalence of Regular Walking (≥30 min of moderate walking a day, on ≥5 days a week) by the COVID-19 phases. This study is based on weekly walking data for 15 weeks in 2020, via the smartphone healthcare app, which is managed by 25 public health offices of the Seoul government. Results: According to the findings, the level of prevalence of regular walking (PRW) has a significant difference before and after the outbreak, and every interval of the four-stage COVID-19 phases, that is, pre-pandemic, initiation, acceleration, and deceleration. The level of PRW sharply decreased during initiation and acceleration intervals. In the deceleration interval of COVID-19, the PRW kept increasing, but it has not yet reached the same level as the previous year when the COVID-19 did not exist. Conclusions: As a preliminary study, this study explains empirically how COVID-19 changed PRW in Seoul. It would be helpful to enhance our understanding of the changes in physical inactivity in the pandemic period.


2021 ◽  
Vol 11 (15) ◽  
pp. 6748
Author(s):  
Hsun-Ping Hsieh ◽  
Fandel Lin ◽  
Jiawei Jiang ◽  
Tzu-Ying Kuo ◽  
Yu-En Chang

Research on flourishing public bike-sharing systems has been widely discussed in recent years. In these studies, many existing works focus on accurately predicting individual stations in a short time. This work, therefore, aims to predict long-term bike rental/drop-off demands at given bike station locations in the expansion areas. The real-world bike stations are mainly built-in batches for expansion areas. To address the problem, we propose LDA (Long-Term Demand Advisor), a framework to estimate the long-term characteristics of newly established stations. In LDA, several engineering strategies are proposed to extract discriminative and representative features for long-term demands. Moreover, for original and newly established stations, we propose several feature extraction methods and an algorithm to model the correlations between urban dynamics and long-term demands. Our work is the first to address the long-term demand of new stations, providing the government with a tool to pre-evaluate the bike flow of new stations before deployment; this can avoid wasting resources such as personnel expense or budget. We evaluate real-world data from New York City’s bike-sharing system, and show that our LDA framework outperforms baseline approaches.


2018 ◽  
Vol 10 (10) ◽  
pp. 3759 ◽  
Author(s):  
Abebe Alemu ◽  
Hossein Azadi

These days, one of the global challenges is the growing demand for food. To be more specific, seafood bases play a key role in filling the nutritional requirements of human beings. In Africa (Ethiopia) the public expenses to improve productive capacity in aquatic food are increasing. Additionally, the expenses in dams and in fishers’ capacity building have increased households’ engagement in the fishery sector in Ethiopia. Cooperatives’ productive capacity has been strengthened by the government and other non-government organizations with the supply of fishing boats, refrigerators, fish nets and other office supplies. However, the effect of such public expenses in bringing changes in the households’ livelihood and welfare has never been assessed in this study area. This paper aims to investigate what motivates the households to fish and assess the effect of fisheries on the households’ livelihood and welfare. A structured survey consisting of 313 rural households was administered using trained enumerators in two kebeles located close to the Tekeze dam, Northern Ethiopia. The result indicates that socioeconomic characteristics, such as age (young), sex, education, and active family size were driving the households to fishing. Access to market and access to support are driving farmers to fisheries. There is a significant difference in fishing households’ income which is higher than non-fishing households. The results also indicate that there are lesser income inequalities among fishery households operating in cooperatives compared to private fishery households.


2007 ◽  
Vol 52 (173) ◽  
pp. 85-104 ◽  
Author(s):  
Yereli Burçin ◽  
Erdem Seçilmiş ◽  
Alparslan Başaran

The aim of this study is to examine the relationship between the shadow economy and public debt in Turkey. We elaborate on the questions regarding the negative effects of shadow economy on the sustainability of public debt observing the estimates about the size of shadow economy in Turkey. In the light of some scholars? estimates, we re-evaluate the macroeconomic situation of Turkey. At the core of the study, we discuss how the government borrowing policies would differ if the shadow economy was included into the legal system. In order to examine the effects of shadow economy on sustainability, we use various sustainability indicators. There is a significant difference observed between the calculations which take into account the volume of shadow economy as a share of economic system and those that exclude shadow economy as an exogenous variable. .


2018 ◽  
Vol 16 (7) ◽  
Author(s):  
Nurhayati Abdul Malek ◽  
Amanina Nashar

Numerous studies acknowledged green open space (GOS) as part of the sustainable component which promotes livability and active community. GOS offers the opportunity for people to socialise through appropriate outdoor setting. Acknowledging countless GOS benefits, hence it appears relevant to plan for a good quality of GOS (QGOS). A QGOS ensures park users enjoy maximum utilisation and benefit of outdoor spaces. Having a good QGOS is one of the government strategies included in the 11th Malaysian Plan 2016-2020, to improve people quality of life. Numerous urban related studies had shown that proximity, use pattern, sociability, accessibility and varieties of activities are the significant factors for successful parks design with the consideration of needs and preferences of park users. Hence, this paper will focus on park use pattern to access the quality of the neighbourhood park (QNP) in Malaysia. The objectives are; i) to identify park use pattern among Malaysian, ii) to determine influential factors of Malaysian park use pattern. A quantitative method of questionnaire survey was conducted to obtain the data. Factor analysis results generated from the 1,500 respondents surveyed at 15 Malaysian neighbourhood parks indicated that nature appreciation loads the highest (Eigenvalue = 2.067, Variance Explained = 29.534%), social and active activities (Eigenvalue = 1.270, Variance Explained = 18.137%), followed by passive activities (Eigenvalue = 0.825, Variance Explained = 11.785%). Together, this finding provides essential guidance for park planners to plan for future QGOS and as part of the support to the 11th Malaysian Plan (2016-2020).


2021 ◽  
Vol 21 (1) ◽  
pp. 1-7
Author(s):  
Ogechi Cordelia Nwahia

This research work focused on analysis of cost and returns in rice production by USAID-MARKETS II project participants and non-participants in Ebonyi state, Nigeria. Multi-stage sampling procedure was employed to select 239 participants, and 252 non- participants for the study. Data were collected from primary source, and analyzed using Z statistic, Net Farm Income (NFI) and Returns Per Naira Invested (RNI). The result reveals that the Net Farm Income (NFI) obtained by USAID-MARKETS II project participants, and non-participants were N493, 067.55/ha, and N353, 408. 12/ha respectively while the return on investment obtained by them were N3.28k, and N3.05k respectively. There was a significant difference between the profits obtained by them. Therefore, this study recommended that the teaming unemployed Nigerian youth should be encourage by the government, and international agencies through provision of grant/loan to take up rice farming as a business.


Author(s):  
M. N. Chukwu ◽  
S. J. Kadafur

The study examines the strength of environmental education in Lekki-Lagos and its impact on community and grass-root development by considering a targeted sample population comprising some respondents that are living or working in Lekki community in Lagos. A qualitative survey was conducted using participatory observation, interviews, and a structured questionnaire. The questionnaire was validated through peer review and pilot testing. Data collected were summarized and computed using descriptive statistics while a paired t-test and Turkey’s HSD test were used for further analysis. Results showed that 92% of the respondents affirmed that environmental education impacted positively on the community attracting the government, non-governmental and private organizations to help in developing the area through construction of roads, pedestrian bridges, drainages and sea embankments thus reducing flooding, man hour loss due to traffic jam and rate of pollution. There was also a decrease in loss of lives and properties. Investors were attracted to Lekki, reducing poverty and social imbalance thus increasing community development. There is a significant difference between the state of Lekki now and before the intervention of public-private practice in developing the area (P< 0.05). It is recommended that the government and other stakeholders should collaborate on a higher scale to enhance developing the unreached communities.


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