Rural Travel Behaviour in Developing Countries: A Study of Farm-Based Villages in Iran

Vaziri, Manouchehr; Dashtestaninejad, Hossein; Asgari, Hamidreza; Salimi, Farzam

doi:10.9774/gleaf.2350.2014.no.00004

Cited by 5 publications

(2 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In recent years, research on mobility has classified rural residents [43], studied the travel behaviors of rural middle-class residents [44], and explained typical rural activity patterns, decision-making procedures, and travel chain characteristics [45] by using data of rural residents' activities and travel characteristics. Some scholars also compared the time variation of urban and rural residents' travel behaviors [46,47] and the differences in sports and leisure behaviors [48].…”

Section: Literature Reviewmentioning

confidence: 99%

Measurement of Rural Residents’ Mobility in Western China: A Case Study of Qingyang, Gansu Province

Bin

Zhu²,

Liu

et al. 2019

Sustainability

View full text Add to dashboard Cite

Mobility is a popular topic in the fields of humanities and social sciences. China’s rapid urbanization has resulted in the acceleration of urban–rural mobility. Moreover, the implementation of the New Urbanization and Rural Revitalization Strategy has demonstrated the prospects of urban–rural integration and development. However, research on rural mobility is mainly focused in the fields of economics and sociology, with insufficient attention paid to spatial mobility. The main purpose of this study is to introduce a new theoretical explanation of the four dimensions of rural mobility based on a complete understanding of the current socio-economic background, namely, network mobility, green mobility, people-oriented mobility, and smart mobility. On this basis, a rural mobility evaluation index system is proposed by attempting to build a synthetic rural mobility index from the four aforementioned dimensions. Qingyang, a typical city in Western China located in the Loess Hilly Region, is taken as an example. Accordingly, the comprehensive rural and four-dimensional mobilities are analyzed and evaluated, and the effectiveness of the index system is verified. Results show that Qingyang’s rural mobility is at a low level, but differences in the types of rural residents, districts and counties, and dimensions of mobility are observed. At the end of this paper, the inclusion of mobility promotion in the policy system of rural revitalization is emphasized.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Measurement of Rural Residents’ Mobility in Western China: A Case Study of Qingyang, Gansu Province

Bin

Zhu²,

Liu

et al. 2019

Sustainability

View full text Add to dashboard Cite

show abstract

“…Application of discrete choice models have been well documented in travel behavior studies (Vaziri et al, 2014;Asgari et al, 2014;Asgari, 2015;Asgari and Jin, 2015;Jin et al, 2015; and ML were the two most widely used model structures that was proposed for this study.…”

Section: Development Of Econometric Models For Vor Estimationmentioning

confidence: 99%

Understanding the Value of Travel Time Reliability for Freight Transportation to Support Freight Planning

Shams¹

View full text Add to dashboard Cite

Today's logistics practices are moving from inventory-based push supply chains to replenishment-based pull supply chains, leading to a lower and less centralized inventory, smaller shipment sizes, and more just-in-time deliveries. As a result, industries are now demanding greater reliability in freight transportation. Delays and uncertainty in freight transportation translate directly into additional inventory, higher manufacturing costs, less economic competitiveness for businesses, and higher costs of goods that are being passed on to the consumers. Given the growing demand in freight transportation, the emerging needs to better understand freight behavior for better policy and investment decisions, and the increasing role of reliability in freight transportation, this research aims at providing a) better understanding of how the freight system users value travel time reliability in their transportation decisions, and b) advanced methods in quantifying the user's willingness to pay for the improvement of transportation related attributes, particularly travel time reliability. vii To understand how the freight industry values travel time reliability in their transportation decisions, and particularly the presence of user heterogeneity, this research designed and conducted a stated preference (SP) survey for freight users in road transportation. Based on the feedback received during the pilot stage, reliability was measured as the standard deviation of travel time and presented as a frequency of on-time and late delivery in the choice scenarios. The survey collected 1,226 responses from 159 firms in Florida between January and May 2016 via online and paper methods. Various modeling approaches were explored to estimate the willingness to pay (WTP) measures among freight users, including multinomial logit (MNL) and mixed logit model. Market segmentation and interaction modeling techniques were employed to investigate preference variations among user groups, commodity groups, product type, and various other shipment characteristics, including shipping distance and weight.

show abstract

The role of social influence in green travel behavior in rural China

Luo

Guo

Zhang

2022

Transportation Research Part D: Transport and Environment

View full text Add to dashboard Cite

Rural Travel Behaviour in Developing Countries: A Study of Farm-Based Villages in Iran

Cited by 5 publications

References 0 publications

Measurement of Rural Residents’ Mobility in Western China: A Case Study of Qingyang, Gansu Province

Measurement of Rural Residents’ Mobility in Western China: A Case Study of Qingyang, Gansu Province

Understanding the Value of Travel Time Reliability for Freight Transportation to Support Freight Planning

The role of social influence in green travel behavior in rural China

Contact Info

Product

Resources

About