What Kind of People Use Carsharing for Commuting? Case Study in Shanghai

2019 ◽  
Vol 2673 (5) ◽  
pp. 770-778 ◽  
Author(s):  
Jianhong Ye ◽  
Daoge Wang ◽  
Hua Zhang ◽  
Hong Yang
Keyword(s):  
High Frequency ◽  
Urban Areas ◽  
Descriptive Analysis ◽  
User Characteristics ◽  
Logistic Regression Models ◽  
Highly Educated ◽  
Suburban Areas ◽  
Commuting Mode ◽  
Study Offer

Carsharing as a service has been growing rapidly worldwide. Its expansion has drawn wide attention in the research community with regard to the underlying driving factors and user characteristics. Despite these extensive investigations, there are still limited studies focusing on the examination of users using carsharing as a commuting mode. The answers to questions such as what kind of people would like to use carsharing for commuting and why they frequently use carsharing to commute are not clear. To enrich our understanding of these problems, this paper aims to investigate carsharing commuters in a mega city. Specifically, it intends to integrate the actual user order data with survey data from 1,920 participants to uncover the characteristics of carsharing commuters. Data from the Evcard carsharing systems in Shanghai were explicitly analyzed. Through descriptive analysis and logistic regression models, the characteristics and critical factors that affect the choice of carsharing as a commuting mode were captured. The results show that: 1. carsharing commuters mostly live or work in suburban areas in which public transport accessibility is limited; 2. carsharing commuters are more likely to be highly educated, in a higher income bracket, and older than other carsharing members; 3. high-frequency carsharing commuters own a reduced number of private cars; and 4. those high-frequency carsharing commuters with higher income are less sensitive to the carsharing costs caused by congestion. The findings in the study offer some insights into carsharing commuters and provide some supportive information for considering policies in developing carsharing systems in urban areas.

scholarly journals The Analysis of Domestic Travelers in Indonesia

JEJAK ◽  
2017 ◽  
Vol 10 (2) ◽  
pp. 317-329 ◽  
Author(s):  
Devanto Shasta Pratomo
Keyword(s):  
Regression Analysis ◽  
Urban Areas ◽  
Travel Demand ◽  
Descriptive Analysis ◽  
Highly Educated ◽  
Tourist Destinations ◽  
Wide Range ◽  
The World ◽  
Economic Survey ◽  
Binary Probit

Indonesia is the largest archipelago country in the world, making one of popular tourist destinations in Southeast Asia region for both international and domestic holidays. The main objective of the study is to examine a wide range characteristics, including demographic, employment, and spatial characteristics for domestic travel in Indonesia.The method used in the study is descriptive analysis using the 2015 National Socio-Economic Survey (SUSENAS), which is used to explain some specific characteristics of domestic travelers in Indonesia. Some regression analysis using binary probit is also added to examine the determinants of domestic travel demand in Indonesia, measured by the probability to travel within the country. The result shows that, in general, domestic travelers in Indonesia are dominated by people who are living in urban areas, people who are aged 25-40 years old, highly educated, working as paid employees, and mostly originate from provinces in Java island.For specific purposes, people who are living in urban areas are more likely travel for holidays. Males are more likely travel for business compared to females. People who do have a job are more likely travel for business purposes, while people who are at school ages are the market for holiday travel.

Using logistic regression for persona segmentation in tourism: A case study

2020 ◽  
Vol 48 (4) ◽  
pp. 1-16
Author(s):  
Rui Kang
Keyword(s):  
Logistic Regression ◽  
Regression Models ◽  
Tourism Industry ◽  
Opinion Leaders ◽  
Service Users ◽  
User Characteristics ◽  
Logistic Regression Models ◽  
Integrated Method ◽  
Tourism Motivation

I introduced a method for persona segmentation in the tourism industry to identify representative subgroups with different motivations or goals. Data from 496 key opinion leaders of groups representing 7,965 travel service users were analyzed with a logistic regression model of user characteristics and tourism motivation. I found that logistic regression is an integrated method of persona segmentation that balances precision and accuracy, and yields replicable and valid results. Three subgroups for persona segmentation based on logistic regression models are proposed.

scholarly journals Optimized indoor daylight for tropical dense urban environments

2017 ◽  
Vol 17 (3) ◽  
pp. 87-102 ◽  
Author(s):  
Iara Gonçalves dos Santos ◽  
Thomas Auer ◽  
Roberta Vieira Gonçalves de Souza
Keyword(s):  
Regression Analysis ◽  
Performance Assessment ◽  
Urban Environment ◽  
High Frequency ◽  
Urban Areas ◽  
Urban Environments ◽  
Cardinal Directions ◽  
Daylight Performance ◽  
Sky Conditions

Abstract Studies using metrics related to dynamic sky conditions for indoor daylight performance assessment in urban environment are rare in tropical latitudes. This study applied one of these metrics, the spatial Daylight Autonomy (sDA 300,50% ≥75%, IES LM 83-12) for Cuiabá (15ºS, 56ºW, Brazil), a savanna climate city with a high frequency of partly cloudy skies. Parametric simulations were used to investigate the availability of daylight in dense urban areas. So daylight conditions inside a reference room with varied depths located within a continuous urban canyon were simulated with Radiance/Daysim in Grasshopper/Honeybee. Dimensions of the street and heights of front buildings (obstructions) are also varied in order to observe the relation between the sky angle and the sDA, for the four main cardinal directions. The results of regression analysis for this case study showed that among all evaluated parameters, room depth tended to be the most relevant for the optimization of indoor daylight. Finally, limitations of this approach and opportunities for further investigations were discussed.

scholarly journals Some challenges for the youth in suburban areas of Ho Chi Minh City - Case study in Binh Tan district

2014 ◽  
Vol 17 (4) ◽  
pp. 55-72
Author(s):  
Trang Thi Thu Ngo ◽  
Thuy Thi Thu Chau
Keyword(s):  
Urban Space ◽  
Urban Areas ◽  
Ho Chi Minh City ◽  
Suburban Areas ◽  
Space Expansion ◽  
To Come ◽  
Industrial Zones ◽  
The City ◽  
Depth Interviews

Urbanization is an inevitable trend of developing countries. Urbanization process is going on in Vietnam, especially in Ha Noicapital and Ho Chi Minh City. Ho Chi Minh City attracted the majority of the youth from provinces to come and work in industrial zones, export processing zones located in suburban areas (of the City). The population growth along with the increased demand for services did promote the expansion of urban land. Fast urban space expansion has posed a lot of challenges for young people especially in terms of lifestyle. Will these youth be susceptible to the bad side of society in the transition from rural to urban areas? The author has chosen to study the area of Binh Tan District in Ho Chi Minh City where high spontaneous urbanization takes place. Through field observations, the author observed life in the studied area which was Binh Tri Dong B Ward, Binh Tan District with the implementation of in-depth interviews for 45 subjects in three population groups under study such as: local people, new residents and immigrants. By method of interdisciplinary research in terms of sociology and geography, the author found out some challenges that the youth face in the process of suburban urbanization

TRANSIT ORIENTED DEVELOPMENT (TOD) SEBAGAI METODE UNTUK MENGATASI PERMASALAHAN GENTRIFIKASI KOTA DALAM PENGARUHNYA TERHADAP PERCEPATAN PEMERATAAN PEMBANGUNAN

Jurnal SCALE ◽  
2019 ◽  
Vol 6 (1) ◽  
pp. 17
Author(s):  
Carolina Setiawan
Keyword(s):  
Urban Development ◽  
Case Studies ◽  
Urban Areas ◽  
Descriptive Analysis ◽  
Development Project ◽  
Transit Oriented Development ◽  
The Public ◽  
The Government ◽  
Economic Zones

This study aims to determine the effect of TOD on the phenomenon of gentrification, the phenomenon of urban development and its influence in accelerating the distribution of development. The Maja area in Banten will be used as a case study where in accordance with the 2015-2019 RPJMN the area was also selected as one of the Public New Economic Zones in order to create a city that is safe, comfortable and livable and is expected to break down urban density so that equitable development can be realized. To achieve the objectives of this study, the analytical method that is used is descriptive analysis by comparing the precedents of the TOD concept in existing case studies with the case studies raised, namely the Citra Maja Development Project, in the Maja Region. After that, the validation of the results of the analysis is done so that a conclusion is that the Citra Maja Development Project is a good case to be used as a model for regional development with the TOD concept with the support of other licensing and administrative facilities by the government, thus indirectly suppressing the phenomenon of gentrification occurs in sub-urban areas

Evaluation of a website that promotes social connectedness: lessons for equitable e-health promotion

2013 ◽  
Vol 19 (4) ◽  
pp. 325 ◽  
Author(s):  
Katy Osborne ◽  
Katherine Patel
Keyword(s):  
Health Promotion ◽  
Urban Areas ◽  
Social Connectedness ◽  
Descriptive Analysis ◽  
Internet Access ◽  
Isolated Populations ◽  
Population Groups ◽  
Innovative Tool ◽  
Health Consumers

The online provision of health information and services has been viewed as having the potential to inform and empower health consumers and, ultimately, to promote better health. The Internet can be an innovative tool to deliver services to ‘hard-to-reach’ population groups, including geographically isolated populations. However, the online platform raises questions regarding the equitable distribution of health services. In this paper we examine a case study of a website that aims to promote health by fostering social connectedness. The website provides information to connect people to locally based community events across Australia. We draw on evaluation findings to examine the socioeconomic and geographical distribution of website usage. A descriptive analysis of web usage statistics revealed a gradient whereby more information is listed and viewed about events in affluent socioeconomic areas. Furthermore, the analysis showed that a greater proportion of information listed and viewed related to urban areas. These results are consistent with broader gradients of Internet access and usage. Drawing on these findings, we identify implications for online health promotion across different population groups, particularly for interventions that do not incorporate an explicit equity focus.

scholarly journals EFFECT OF COVID-19 LOCKDOWN ON AIR QUALITY IN URBAN AND SUBURBAN AREAS OF EXTREMADURA, SOUTHWEST SPAIN: A CASE STUDY IN USUALLY LOW POLLUTED AREAS

2021 ◽  
Author(s):  
Maria Cerrato-Álvarez ◽  
Conrado Miró-Rodríguez ◽  
Eduardo Pinilla-Gil
Keyword(s):  
Urban Areas ◽  
Road Traffic ◽  
Anthropogenic Activities ◽  
Primary Source ◽  
Weather Conditions ◽  
Ambient Air ◽  
Atmospheric Conditions ◽  
Suburban Areas ◽  
Benzene Toluene

Lockdown measures were established in Spain from 14th March 2020, to flatten the pandemic curve of coronavirus disease (COVID-19). The increasingly stringent implementation of these measures has made it possible to assess the effect of anthropogenic activities on the most relevant air pollutants present in ambient air. Whereas most published reports focus on highly polluted urban areas, the present work aims to quantify variations in the levels of NO2, O3 and BTX (benzene, toluene and xylene) due to the COVID-19 lockdown in usually low polluted urban and suburban areas within Extremadura (Spain). Compared to the reference period from 2010 to 2019, significant reductions in NO2 levels occurred in the suburban stations of Badajoz, Cáceres, Mérida, Plasencia and Zafra (–50.4 %, –71.6 %, –55.2 %, –64.6 % and –51.8 %, respectively), likely due to the limitation of road traffic as the primary source of nitrogen oxides (NOx). These percentages of reduction are similar to data reported in high polluted areas. Similarly, O3 levels have decreased slightly by –9.9 % in Badajoz, –9.5 % in Mérida and –18.2 % in the Monfragüe National Park. The reduction in O3 levels may be due to a decrease in NOx limiting atmospheric conditions and the influence of weather conditions (high cloudiness and rainy days) during the lockdown period. No defined trend was observed for VOCs (BTX), probably due to the very low levels of these contaminants, close to the detection limit both during the lockdown and the reference periods.

Factors Affecting Financial Literacy of Vietnamese Adults: A Case Study for Hanoi and Nghe An

2017 ◽  
Vol 33 (2) ◽  
Author(s):  
Tue Nguyen Dang
Keyword(s):  
Higher Education ◽  
Multiple Regression ◽  
Financial Literacy ◽  
Urban Areas ◽  
Logistic Models ◽  
Factors Affecting ◽  
Financial Behaviors ◽  
Financial Decisions ◽  
Literacy Level

This research examines the factors affecting the financial literacy of Vietnamese adults. Using a sample of 266 observations of adults in 2 big cities in Vietnam (Hanoi and Vinh in Nghe An Province), the author evaluates the literacy level of adults in these urban areas. The financial literacy of the interviewed people is low. The multiple regression results show that lower financial literacy levels associate with higher age and married status and higher financial literacy levels associate with higher education, more family members, the person making financial decisions and the person attending a useful financial course. This research also explores the association between financial literacy and financial behaviors of individuals employing logistic models. It is found that higher financial literacy associates with less probability of overspending and higher probability of saving money and careful spending. Higher financial literacy is also found to associate with higher probability of opening a savings account and making various investments. 

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