Fare Variable Construction and Rail Transit Ridership Elasticities: Case Study of the Washington, D.C., Metrorail System

2001 ◽  
Vol 1753 (1) ◽  
pp. 102-110 ◽  
Author(s):  
Ryan A. Petitte
Author(s):  
Arthur C. Nelson ◽  
Michael D. Meyer ◽  
Catherine B. Ross

For two decades, the city of Atlanta, Georgia, has used special public interest districts (SPIDs) to attract new development to and improve transit ridership around Midtown rail transit stations operated by the Metropolitan Atlanta Rapid Transit Authority (MARTA). Buildings locating inside SPIDs need not provide any parking facilities and can be developed more intensively than buildings located outside SPIDs. Buildings constructed outside SPIDs must have at least two parking stalls for every 1,000 ft2 (92.9 m2) of gross leasable area and are limited to about 30 floors. The extent to which these policy objectives have been fulfilled by Atlanta’s parking supply policies as they are applied around Midtown MARTA stations is analyzed. Findings are mixed. Development was attracted to SPIDs, and transit ridership among employees working within SPIDs was substantially higher than among those working outside SPIDs. On the other hand, new parking has proliferated throughout Midtown with some evidence to suggest that transit ridership has fallen as a result. It is concluded that without areawide parking supply efforts, policies patterned after Atlanta’s SPID program will have limited success in improving transit ridership.


2020 ◽  
Vol 12 (9) ◽  
pp. 3798 ◽  
Author(s):  
Mohammed Ali Berawi ◽  
Gunawan Saroji ◽  
Fuad Adrian Iskandar ◽  
Bernard Elpetino Ibrahim ◽  
Perdana Miraj ◽  
...  

Transit-oriented development (TOD) is based around transit stations, with the emphasis on high population density and multifunctional areas in promoting sustainable mobility. This study aimed to develop a TOD model that could achieve an optimum land use allocation to maximize transit ridership. A critical literature review, an analysis of value engineering through function and benchmarking studies were conducted in order to develop a baseline plan for a TOD model, which was then optimized using linear programming. A total of four light rail transit (LRT) stations located in Jakarta were used as the case study to represent model implementation, ridership evaluation and optimal design. The optimization results showed that office workers constituted the highest number of transit passengers, followed by those working in hotels and commercial/retail and residential users. It was also found that optimizing the design of the TOD can increase the number of daily LRT passengers by up to 55%.


2020 ◽  
Vol 82 ◽  
pp. 102631 ◽  
Author(s):  
Shaoying Li ◽  
Dijiang Lyu ◽  
Guanping Huang ◽  
Xiaohu Zhang ◽  
Feng Gao ◽  
...  

2021 ◽  
Vol 13 (13) ◽  
pp. 7504
Author(s):  
Jie Liu ◽  
Paul Schonfeld ◽  
Jinqu Chen ◽  
Yong Yin ◽  
Qiyuan Peng

Time reliability in a Rail Transit Network (RTN) is usually measured according to clock-based trip time, while the travel conditions such as travel comfort and convenience cannot be reflected by clock-based trip time. Here, the crowding level of trains, seat availability, and transfer times are considered to compute passengers’ Perceived Trip Time (PTT). Compared with the average PTT, the extra PTT needed for arriving reliably, which equals the 95th percentile PTT minus the average PTT, is converted into the monetary cost for estimating Perceived Time Reliability Cost (PTRC). The ratio of extra PTT needed for arriving reliably to the average PTT referring to the buffer time index is proposed to measure Perceived Time Reliability (PTR). To overcome the difficulty of obtaining passengers’ PTT who travel among rail transit modes, a Monte Carlo simulation is applied to generated passengers’ PTT for computing PTR and PTRC. A case study of Chengdu’s RTN shows that the proposed metrics and method measure the PTR and PTRC in an RTN effectively. PTTR, PTRC, and influential factors have significant linear relations among them, and the obtained linear regression models among them can guide passengers to travel reliably.


Author(s):  
Marlon Boarnet ◽  
Randall C. Crane

The facts, figures, and inferences in chapter 7 regarding municipal behavior toward transit-oriented housing opportunities illustrate many points. Still, there is much that even a careful statistical analysis might miss or misunderstand. For that reason, we also explored what we could learn by talking to real planners about these issues. The case of San Diego is interesting and useful for several reasons. First, the San Diego Trolley is the oldest of the current generation of light rail projects in the United States. Unlike many newer systems, the age of San Diego’s rail transit (the South Line opened in 1981) allows time for land use planning to respond to the fixed investment. Second, the San Diego system is no stranger to modern transit-based planning ideas. The San Diego City Council approved a land-use plan for their stations that includes many of the ideas promoted by transit-oriented development (TOD) advocates (City of San Diego, 1992). Third, the light rail transit (LRT) authority in San Diego County, the Metropolitan Transit Development Board (MTDB), is often regarded as one of the more successful municipal LRT agencies. The initial parts of the MTDB rail transit system were constructed strictly with state and local funds, using readily available, relatively low-cost technology (Demoro and Harder, 1989, p. 6). Portions of San Diego’s system have high fare-box recovery rates, including the South Line, which in its early years recovered as much as 90 percent of operating costs at the fare box (Gómez-Ibáñez, 1985). All of these factors make San Diego potentially a “best-case” example of TOD implementation. When generalizing from this case study, it is important to remember that the transit station area development process in San Diego is likely better developed than in many other urban areas in the United States. The results from San Diego County can illustrate general issues that, if they have not already been encountered, might soon become important in other urban areas with rail transit systems. Also, given San Diego County’s longer history of both LRT and TOD when compared with most other regions, any barriers identified in San Diego County might be even more important elsewhere.


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