Title |
When will car owners abandon car driving? Analysis based on a survey of the parking experiences of people in Changsha, China |
ID_Doc |
66756 |
Authors |
Pan, SL; Liang, ZL; Chen, Q |
Title |
When will car owners abandon car driving? Analysis based on a survey of the parking experiences of people in Changsha, China |
Year |
2019 |
Published |
International Journal Of Modern Physics B, 33, 15 |
DOI |
10.1142/S0217979219501480 |
Abstract |
An appropriate parking supply in cities should not only satisfy car travel demands but also restrict the number of car trips to reduce congestion and carbon emissions on road networks. This paper analyzes when car owners will abandon car driving based on a survey of the parking experiences of people in Changsha, China. The results indicate that car owners are most likely to abandon driving when the total time expenditure (including the search time and walking time) exceeds 20 min or the walking distance between a car park and a destination exceeds 400 m. In addition, car owners' decisions regarding different trip purposes (commuting, business, hospital trips, shopping and entertainment activities) are compared. Multinomial logistic regression models and correspondence analysis methods are applied to identify the factors influencing car owners' decisions. The results show that public transport and the parking pricing level near work places have a substantial impact on people's decisions: people will more readily abandon driving when the travel time of public transit decreases; age, occupation and annual household income have a significant influence on people's parking condition preferences for business trips and trips to hospitals; and the factor that primarily influences the mode choice for shopping and entertainment trips is annual household income. The outcome of this study can provide a basis for determining the optimal parking supply level and facilitate the realization of sustainable transportation. |
Author Keywords |
Mode choice; parking time; multinomial logistic regression; survey |
Index Keywords |
Index Keywords |
Document Type |
Other |
Open Access |
Open Access |
Source |
Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI) |
EID |
WOS:000477837600002 |
WoS Category |
Physics, Applied; Physics, Condensed Matter; Physics, Mathematical |
Research Area |
Physics |
PDF |
|