scholarly journals Transit Service, Parking Charges, and Mode Choice for the Journey to Work: An Analysis of the 1990 NPTS

1996 ◽  
Vol 1 (1) ◽  
pp. 13-38 ◽  
Author(s):  
James Strathman ◽  
◽  
Kenneth Dueker ◽  
2019 ◽  
Vol 17 ◽  
pp. 86-95 ◽  
Author(s):  
Neeraj Saxena ◽  
Taha Hossein Rashidi ◽  
Joshua Auld

Author(s):  
Zhongren Peng ◽  
Kenneth J. Dueker ◽  
James G. Strathman

The effect of parking prices on mode choice for urban work travel is investigated, controlling for access to transit and residential and employment location. The analysis uses a nested multinomial logit model and is based on travel-activity data from the Portland, Oregon, metropolitan area. Parking prices are estimated to have a significant influence on commuters' mode choices. Parking prices are also found to have divergent impacts on commuters using different modes or living in different areas. Suburban transit users are more responsive to parking price changes than central city transit users. Persons ridesharing are less sensitive to parking prices than those who drive alone. For suburban residents, those driving alone and ridesharing to work are less sensitive to parking prices than are central city residents. Employment location plays an important role in mode choice; those working in suburban areas tend to drive more and use transit less. Increased transit service alone has a fairly small effect on transit use. Increasing parking price and improving transit service at the same time provides an effective means of reducing solo driving and increasing transit use.


2015 ◽  
Vol 22 (1) ◽  
pp. 402-408
Author(s):  
Chuan Ding ◽  
Yao-yu Lin ◽  
Bing-lei Xie ◽  
Xiao-yu Zhu ◽  
Sabyasachee Mishra

2019 ◽  
Vol 11 (1) ◽  
pp. 108-129
Author(s):  
Andrew G. Mueller ◽  
Daniel J. Trujillo

This study furthers existing research on the link between the built environment and travel behavior, particularly mode choice (auto, transit, biking, walking). While researchers have studied built environment characteristics and their impact on mode choice, none have attempted to measure the impact of zoning on travel behavior. By testing the impact of land use regulation in the form of zoning restrictions on travel behavior, this study expands the literature by incorporating an additional variable that can be changed through public policy action and may help cities promote sustainable real estate development goals. Using a unique, high-resolution travel survey dataset from Denver, Colorado, we develop a multinomial discrete choice model that addresses unobserved travel preferences by incorporating sociodemographic, built environment, and land use restriction variables. The results suggest that zoning can be tailored by cities to encourage reductions in auto usage, furthering sustainability goals in transportation.


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