Activity-Trip Chaining Behavior of Urban Low-Income Populations in Nanjing, China: A Structural Equations Analysis
This paper analyzes the activity-trip chaining behavior of urban low-income populations in Nanjing, China, based on a specific travel survey of low-income residents of Nanjing city (2010), and the database of residents travel survey of Nanjing city (2009). Individual’s information of activity partic...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2014-01-01
|
| Series: | Discrete Dynamics in Nature and Society |
| Online Access: | http://dx.doi.org/10.1155/2014/360269 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832552810111041536 |
|---|---|
| author | Zhaoming Chu Hui Chen Lin Cheng Xuewu Chen Senlai Zhu |
| author_facet | Zhaoming Chu Hui Chen Lin Cheng Xuewu Chen Senlai Zhu |
| author_sort | Zhaoming Chu |
| collection | DOAJ |
| description | This paper analyzes the activity-trip chaining behavior of urban low-income populations in Nanjing, China, based on a specific travel survey of low-income residents of Nanjing city (2010), and the database of residents travel survey of Nanjing city (2009). Individual’s information of activity participation and trip chains is extracted from the daily travel diary and matched with individual and household characteristics. On top of correlation analysis and normalization process, using the software AMOS, two structural equation models are formulated to analyze the relationship among individuals’ sociodemographics, activity duration, and trip chains of low-income populations and non-low-income populations, respectively. Seven household characteristics and six individual characteristics are chosen as the exogenous variables, while 4 indices of activity duration and 4 indices of trip chains are sleeted as the endogenous variables. The result shows that the activity-travel behavior of urban low-income populations is quite unique, which offers promising insights into activity-trip chaining behavior of the poor and extends the need to crafting effective transportation policies specifically for urban low-income populations in developing countries. |
| format | Article |
| id | doaj-art-cfeb43276b954b76961fc95b35dfbc04 |
| institution | Kabale University |
| issn | 1026-0226 1607-887X |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Discrete Dynamics in Nature and Society |
| spelling | doaj-art-cfeb43276b954b76961fc95b35dfbc042025-02-03T05:57:46ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2014-01-01201410.1155/2014/360269360269Activity-Trip Chaining Behavior of Urban Low-Income Populations in Nanjing, China: A Structural Equations AnalysisZhaoming Chu0Hui Chen1Lin Cheng2Xuewu Chen3Senlai Zhu4School of Transportation, Southeast University, Nanjing 210096, ChinaChengxian College, Southeast University, Nanjing 210088, ChinaSchool of Transportation, Southeast University, Nanjing 210096, ChinaSchool of Transportation, Southeast University, Nanjing 210096, ChinaSchool of Transportation, Southeast University, Nanjing 210096, ChinaThis paper analyzes the activity-trip chaining behavior of urban low-income populations in Nanjing, China, based on a specific travel survey of low-income residents of Nanjing city (2010), and the database of residents travel survey of Nanjing city (2009). Individual’s information of activity participation and trip chains is extracted from the daily travel diary and matched with individual and household characteristics. On top of correlation analysis and normalization process, using the software AMOS, two structural equation models are formulated to analyze the relationship among individuals’ sociodemographics, activity duration, and trip chains of low-income populations and non-low-income populations, respectively. Seven household characteristics and six individual characteristics are chosen as the exogenous variables, while 4 indices of activity duration and 4 indices of trip chains are sleeted as the endogenous variables. The result shows that the activity-travel behavior of urban low-income populations is quite unique, which offers promising insights into activity-trip chaining behavior of the poor and extends the need to crafting effective transportation policies specifically for urban low-income populations in developing countries.http://dx.doi.org/10.1155/2014/360269 |
| spellingShingle | Zhaoming Chu Hui Chen Lin Cheng Xuewu Chen Senlai Zhu Activity-Trip Chaining Behavior of Urban Low-Income Populations in Nanjing, China: A Structural Equations Analysis Discrete Dynamics in Nature and Society |
| title | Activity-Trip Chaining Behavior of Urban Low-Income Populations in Nanjing, China: A Structural Equations Analysis |
| title_full | Activity-Trip Chaining Behavior of Urban Low-Income Populations in Nanjing, China: A Structural Equations Analysis |
| title_fullStr | Activity-Trip Chaining Behavior of Urban Low-Income Populations in Nanjing, China: A Structural Equations Analysis |
| title_full_unstemmed | Activity-Trip Chaining Behavior of Urban Low-Income Populations in Nanjing, China: A Structural Equations Analysis |
| title_short | Activity-Trip Chaining Behavior of Urban Low-Income Populations in Nanjing, China: A Structural Equations Analysis |
| title_sort | activity trip chaining behavior of urban low income populations in nanjing china a structural equations analysis |
| url | http://dx.doi.org/10.1155/2014/360269 |
| work_keys_str_mv | AT zhaomingchu activitytripchainingbehaviorofurbanlowincomepopulationsinnanjingchinaastructuralequationsanalysis AT huichen activitytripchainingbehaviorofurbanlowincomepopulationsinnanjingchinaastructuralequationsanalysis AT lincheng activitytripchainingbehaviorofurbanlowincomepopulationsinnanjingchinaastructuralequationsanalysis AT xuewuchen activitytripchainingbehaviorofurbanlowincomepopulationsinnanjingchinaastructuralequationsanalysis AT senlaizhu activitytripchainingbehaviorofurbanlowincomepopulationsinnanjingchinaastructuralequationsanalysis |