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Modeling the commuting travel activities within historic districts in Chinese cities.

Ye M, Yu M, Li Z, Yin F, Hu Q - Comput Intell Neurosci (2014)

Bottom Line: Commuters in our study were classified into two main groups according to their working location, which were the commuters in the historic district and those out of the district.The modeling results show that several individual and household attributes of commuters in historic district have significant impacts on the characteristics of travel activities.Additionally, the characteristics of travel activities within the two groups are quite different, and the contributing factors related to commuting travels are different as well.

View Article: PubMed Central - PubMed

Affiliation: Department of Transportation Engineering, Nanjing University of Science and Technology, 200 Xiaolingwei, Nanjing 210094, China.

ABSTRACT
The primary objective of this study is to analyze the characteristics of commuting activities within the historical districts in cities of China. The impacts of various explanatory variables on commuters' travels are evaluated using the structural equation modeling (SEM) approach. The household survey was conducted in the historical districts in Yangzhou, China. Based on the data, various individual and household attributes were considered exogenous variables, while the subsistence activity characteristics, travel times, numbers of three typical home-based trip chains, trip chains, and travel mode were considered as the endogenous variables. Commuters in our study were classified into two main groups according to their working location, which were the commuters in the historic district and those out of the district. The modeling results show that several individual and household attributes of commuters in historic district have significant impacts on the characteristics of travel activities. Additionally, the characteristics of travel activities within the two groups are quite different, and the contributing factors related to commuting travels are different as well.

Show MeSH
Statistical number chart of commute trips and total trips.
© Copyright Policy - open-access
Related In: Results  -  Collection


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fig1: Statistical number chart of commute trips and total trips.

Mentions: Figure 1 depicts the commute trip number and total trip number of commuters in historic district. In commuters' daily activities of Yangzhou city, subsistence trips take a high rate of the total trips, of which the percentage among commuters inside the district is 93.8% and the percentage among commuters outside the district is 94.2%. It reports that the nonsubsistence trips take a small proportion, so in the following classification of trip chains we only take account of the commute trips.


Modeling the commuting travel activities within historic districts in Chinese cities.

Ye M, Yu M, Li Z, Yin F, Hu Q - Comput Intell Neurosci (2014)

Statistical number chart of commute trips and total trips.
© Copyright Policy - open-access
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC4236963&req=5

fig1: Statistical number chart of commute trips and total trips.
Mentions: Figure 1 depicts the commute trip number and total trip number of commuters in historic district. In commuters' daily activities of Yangzhou city, subsistence trips take a high rate of the total trips, of which the percentage among commuters inside the district is 93.8% and the percentage among commuters outside the district is 94.2%. It reports that the nonsubsistence trips take a small proportion, so in the following classification of trip chains we only take account of the commute trips.

Bottom Line: Commuters in our study were classified into two main groups according to their working location, which were the commuters in the historic district and those out of the district.The modeling results show that several individual and household attributes of commuters in historic district have significant impacts on the characteristics of travel activities.Additionally, the characteristics of travel activities within the two groups are quite different, and the contributing factors related to commuting travels are different as well.

View Article: PubMed Central - PubMed

Affiliation: Department of Transportation Engineering, Nanjing University of Science and Technology, 200 Xiaolingwei, Nanjing 210094, China.

ABSTRACT
The primary objective of this study is to analyze the characteristics of commuting activities within the historical districts in cities of China. The impacts of various explanatory variables on commuters' travels are evaluated using the structural equation modeling (SEM) approach. The household survey was conducted in the historical districts in Yangzhou, China. Based on the data, various individual and household attributes were considered exogenous variables, while the subsistence activity characteristics, travel times, numbers of three typical home-based trip chains, trip chains, and travel mode were considered as the endogenous variables. Commuters in our study were classified into two main groups according to their working location, which were the commuters in the historic district and those out of the district. The modeling results show that several individual and household attributes of commuters in historic district have significant impacts on the characteristics of travel activities. Additionally, the characteristics of travel activities within the two groups are quite different, and the contributing factors related to commuting travels are different as well.

Show MeSH