scholarly journals Modeling Vehicle Usage, Mode Choice and Trip Chaining for Multiple Household Members in Developing Countries.

2001 ◽  
pp. 125-133
Author(s):  
Dilum DISSANAYAKE ◽  
Takayuki MORIKAWA
2019 ◽  
Vol 42 (4) ◽  
pp. 391-415 ◽  
Author(s):  
Md Hadiuzzaman ◽  
Nahid Parvez Farazi ◽  
Sanjana Hossain ◽  
Saurav Barua ◽  
Farzana Rahman

2020 ◽  
Vol 12 (6) ◽  
pp. 2575
Author(s):  
Hongping Du ◽  
Liliana Mitkova ◽  
Na Wang

Innovative enterprises from emerging markets, such as China, are a group of understudied enterprises, which could generate new and important views on internationalization. Some unique characteristics of Chinese innovative enterprises are creating new ideas that help to a better understanding of entry mode choice, market location choice, and entry speed in the paths of internationalization. Drawing on an unbalanced panel of Chinese innovative enterprises’ outward foreign direct investment (OFDI) event data, we analyzed the tendency of the paths of internationalization of Chinese innovative enterprises and the determining factors that influence the Chinese innovative enterprises’ choice in entry mode, market location, and entry speed. The results show that: (1) Chinese innovative enterprises are more likely to choose developing countries than developed countries. (2) When these firms conduct investment activities in developed countries, the probability rank (from high to low) of entry mode choice is acquisition, along with the wholly-owned subsidiary, exporting and joint venture. When these firms expand the business in developing countries, the entry mode of export is most likely to be chosen and the acquisition is least likely to be chosen. (3) This tendency and paths choice of internationalization in entry mode, market location and entry speed are influenced by the international experience, the multidimensional proximity, psychic distance, internationalization motivation, ownership structure, and innovation ability. Finally, we discuss these contributions and make some suggestions for future research.


Author(s):  
Gordon W. Schultz ◽  
William G. Allen

Non-home-based (NHB) trip making typically accounts for about 25 to 30 percent of travel by individuals in urban areas. However, the NHB trip purpose is usually treated as a large unknown category, and little attention is paid to the nature of these trips. An effort to better understand the characteristics of NHB trips by subdividing the NHB trip category is described. It is hoped that this effort will serve as a useful precursor to improving the analysis of trip chaining behavior. By definition, NHB trips are almost always part of a chain of trips that usually starts or ends at the trip maker's place of residence or work. By examining this chain more closely, it is possible to group NHB trips into two or three categories. More detailed analysis of these categories reveals that they have very different trip length, mode choice, and time of day characteristics. Making this subdivision improves the accuracy of the model, increases the sensitivity of the forecast to important factors, and provides a greater understanding of trip chaining behavior.


2017 ◽  
Vol 2634 (1) ◽  
pp. 101-109 ◽  
Author(s):  
Weibo Li ◽  
Maria Kamargianni

A modal shift from motorized to nonmotorized vehicles is imperative to reduce air pollution in developing countries. Nevertheless, whether better air quality will improve the willingness to use nonmotorized transport remains unclear. If such a reciprocal effect could be identified, a sort of virtuous circle could be created (i.e., better air quality could result in higher nonmotorized transport demand, which in turn could further reduce air pollution). Developing countries may, therefore, be more incentivized to work on air pollution reduction from other sources to exploit the extra gains in urban transport. This study investigated the impact of air pollution on mode choices and whether nonmotorized transport was preferred when air quality was better. Revealed preference data about the mode choice behavior of the same individuals was collected during two seasons (summer and winter) with different air pollution levels. Two discrete mode choice models were developed (one for each season) to quantify and compare the impacts of different air pollution levels on mode choices. Trip and socioeconomic characteristics also were included in the model to identify changes in their impacts across seasons. Taiyuan, a Chinese city that operates a successful bikesharing scheme, was selected for a case study. The study results showed that air quality improvement had a significant, positive impact on nonmotorized transport use, which suggested that improvements in air quality and promotion of nonmotorized transport must be undertaken simultaneously because of their interdependence. The results of the study could act as a harbinger to policy makers and encourage them to design measures and policies that lead to sustainable travel behavior.


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