Chicago Transit Authority Weekday Park-and-Ride Users: Choice Market with Ridership Growth Potential

2000 ◽  
Vol 1735 (1) ◽  
pp. 158-168 ◽  
Author(s):  
Peter J. Foote

Chicago Transit Authority (CTA) park-and-ride users make up a small but important submarket of CTA ridership (2.3 million of 445.3 million annual rides). In fall 1998, a survey was made of 1,758 CTA park-and-ride users on weekdays at 15 CTA park-and-ride lots near the point of payment. The survey asked for customer satisfaction ratings, travel characteristics, prior mode used, reasons for park-and-ride use, demographics, and, at the largest lots, ratings of the desirability of potential amenities or services that could be added to the lots. Compared with CTA riders overall, park-and-ride users showed substantially higher household incomes and travel frequencies and made predominantly work-related trips to and from Chicago’s central business district. Riders said that they chose to use park-and-ride because it was the fastest way to make their trip, because of the cost of parking at their destination (mean cost of $10.29), or because they disliked driving. Before using CTA park-and-ride service, most customers used some automobile-related means of making their trips. Substantial turnover and geographic information system analysis of home location data suggest that regular target marketing and investment in new facilities would have a positive impact on overall ridership. Of potential customer amenities tested, riders showed the most willingness to try shopping-related amenities (convenience mart, fast food and grocery outlet) over amenities related to automobile servicing.

2021 ◽  
Vol 918 (1) ◽  
pp. 012024
Author(s):  
N A Putri ◽  
R Hermawan ◽  
L Karlinasari

Abstract It is obvious that an increase in the built environment in many major cities is not balanced with the availability of green open space causing environmental problems such as an increase in accumulative city temperature (e.g., urban heat island). Therefore, many initiatives have been implemented to integrate more green open spaces in an effort to deal with increasing air temperatures in cities, but baseline information on the positive impact on the built environment is still lacking. The objective of this study was to identify thermal comfort in green open spaces and built environments in a central business district. Basic microclimate variables and thermal humidity index (THI) were analyzed in three sites representing the district by also considering the distribution of green open spaces, buildings, and traffics. Results showed that in the morning, the average temperature at the three sampling points have a low temperature (T=27.77-28.50°C) with high humidity (RH=77.21-80.97%) and the THI value is quite comfortable (THI=26.72-27.22°C), while during the daytime, the temperature conditions at the three sites have high temperatures (T=31.37-33.04°C) with low humidity (RH=63.30-65.80%) and high THI values (THI=29.22-30.62°C). In the afternoon, the temperature conditions at the three sample points have a high enough temperature (T=29.70-30.61°C) and high humidity (RH=67.36-71.02%), while the THI value is only in point two, which is close to the quite comfortable category (THI=27.98°C), while other locations have a value THI=28.60°C and 28.62°C. The results of this study mark the presence of green open space with the trees in the district has a positive effect on decreasing air temperature and hence increasing environmental comfort. The addition and enrichment of trees can be done to increase thermal comfort in the built environment.


2021 ◽  
Vol 13 (13) ◽  
pp. 7461
Author(s):  
Jairo Ortega ◽  
Sarbast Moslem ◽  
Juan Palaguachi ◽  
Martin Ortega ◽  
Tiziana Campisi ◽  
...  

A park-and-ride (P&R) system is a set of facilities where private vehicle users can transfer to public transport to continue their journey. The main advantage of the system is decreasing the congestion in the central business district. This paper aims to analyze the most significant factors related to a Park-and-Ride facility location by adopting a combined model of Analytic Hierarchy Process (AHP) and Best Worst Method (BWM). The integrated model is applicable for complex problems, which can be structured as a hierarchy with at least one 5 × 5 pairwise comparison matrix (PCM) (or bigger). Applying AHP for at least 5 × 5 PCM may generate inconsistent matrices, which may cause a loss of reliable information. As a solution for this gap, we conducted BWM, which generates more consistent comparisons compared to the AHP approach. Moreover, the model requires fewer comparisons compared to the classic AHP approach. That is the main reason of adopting the AHP-BWM model to evaluate Park-and-Ride facility location factors for a designed two-level hierarchical structure. As a case study, a real-world complex decision-making process was selected to evaluate the Park-and-Ride facility location problem in Cuenca city, Ecuador. The result shows that the application of multi-criteria methods becomes a planning tool for experts when designing a P&R system.


Transport ◽  
2017 ◽  
Vol 32 (1) ◽  
pp. 55-65 ◽  
Author(s):  
Amir Khakbaz ◽  
Ali Shahandeh Nookabadi ◽  
Seyyed Nader Shetab Boushehri

Recently, most cities have tried to connect park-and-ride facilities with public transit vehicles. The present study aims to design urban bus routes in the transportation network equipped with park-and-ride. Seven important factors which affect the design of urban bus network are identified through the literature review. These factors include demand coverage, route directness, passengers’ satisfaction, minimum length of bus route, budget, use of existing bus routes and number of lines. In this article, by use of the mentioned factors, a new model is developed to determine the urban bus routes. The new model figures the routes with park-and-ride as origin and Central Business District (CBD) as destination, in such a manner that the covered demand is maximized. Our novel method is more effective than other options currently available. In fact, it uses the most important factors in designing urban bus routes. Furthermore, an efficient Genetic Algorithm (GA) based approach is represented to solve large-scale problems. Numerical results show the effectiveness of this approach. At last, the developed model is applied to design the urban bus routes in the transportation network of Babol (Iran).


2020 ◽  
Vol 12 (23) ◽  
pp. 10083
Author(s):  
Jairo Ortega ◽  
Sarbast Moslem ◽  
János Tóth ◽  
Tamás Péter ◽  
Juan Palaguachi ◽  
...  

The Park and Ride (P&R) system is a set of facilities available to private vehicle users to transfer to public transportation in order to complete their journey. The location of the facilities is determined by the purpose for which they have been created, for example, to reduce traffic in the central business district (CBD), reduce pollution, or increase the use of public transportation. Thus, a set of six main criteria and 19 sub-criteria are considered that are particularly important for decision-makers about the location of P&R facilities in a city. In order to identify which criteria are relevant, a method belonging to the multiple criteria decision is needed. The central point of this study is to evaluate the problem of the location of the facilities of the P&R system according to the point of view of the experts. For this aim, the Best Worst Method (BWM) is adopted to estimate the location of the facilities of the P&R system. The questionnaire survey has been designed estimated by ten transport experts in the related field. The recently created BWM was conducted. The results highlighted that “accessibility of public transportation” is the most important aspect of the problem of the location of P&R facilities. The results obtained provide greater accuracy in the location of facilities problem than the pure analytic hierarchy process method (AHP).


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