GIS-MCDM–Based Approach to Determine the Potential Facility Locations for Park-and-Ride Facilities along Transit Corridors

Author(s):  
Aditya Manish Pitale ◽  
Manoranjan Parida ◽  
Shubhajit Sadhukhan
2015 ◽  
Vol 2534 (1) ◽  
pp. 109-115 ◽  
Author(s):  
Andrew Mock ◽  
Jean-Claude Thill

This study assessed the state of the practice in figuring out the placement of new rapid transit park-and-ride facilities and whether the existing body of literature was still in harmony with today's practice. The analysis was based on free-form interviews and a survey of transit professionals. The results revealed several emerging differences that had not been discussed in the literature. First, the cost of the park-and-ride facility was of critical importance to transit planners, as the pressure to deliver projects on budget was of the utmost importance. Second, the relationship between land use and park-and-ride demand as placement factors was one of the most important considerations of planners in the location of park-and-ride facilities. Contrary to the situation in larger metropolitan areas, land use compatibility may have superseded potential park-and-ride demand for determining park-and-ride facility locations in midtier cities, where light rail was most prevalent. Third, the survey indicated that individuals in a transit organization may have perceived the value of land use compatibility versus park-and-ride demand differently. Planners and engineers tended to prioritize land use over park-and-ride demand, in contrast to those in managerial positions. Finally, of the factors that transit planners considered when they located park-and-ride facilities, the analysis indicated that considerations aligned with convenience, such as highway access and adjacency to a congested highway, were more valued by transit planners than those that were aligned with economics, such as proximity to a residential area and relationship to primary activity centers. The reverse applied to larger cities.


2021 ◽  
Vol 13 (14) ◽  
pp. 7928
Author(s):  
Songyot Kitthamkesorn ◽  
Anthony Chen ◽  
Sathaporn Opasanon ◽  
Suwicha Jaita

Park and ride (P&R) facilities provide intermodal transfer between private vehicles and public transportation systems to alleviate urban congestion. This study developed a mathematical programming formulation for determining P&R facility locations. A recently developed Weibit-based model was adopted to represent the traveler choice behavior with heterogeneity. The model’s independence of irrelevant alternatives (IIA) property was explored and used to linearize its nonlinear probability. Some numerical examples are provided to demonstrate a feature of the proposed mixed integer linear programing (MILP). The results indicate a significant impact of route-specific perception variance on the optimal P&R facility locations in a real-size transportation network.


2021 ◽  
Vol 55 ◽  
pp. 159-164
Author(s):  
Oleksii Lobashov ◽  
Dmytro Burko ◽  
Oleksii Pasolenko ◽  
Andrii Galkin ◽  
Tibor Schlosser
Keyword(s):  

Author(s):  
Juan A. Mesa ◽  
Francisco A. Ortega ◽  
Miguel A. Pozo ◽  
Ramón Piedra-de-la-Cuadra

Author(s):  
Taesung HWANG ◽  
Minho LEE ◽  
Chungwon LEE ◽  
Seungmo KANG

Large facilities in urban areas, such as storage facilities, distribution centers, schools, department stores, or public service centers, typically generate high volumes of accessing traffic, causing congestion and becoming major sources of greenhouse gas (GHG) emission. In conventional facility-location models, only facility construction costs and fixed transportation costs connecting customers and facilities are included, without consideration of traffic congestion and the subsequent GHG emission costs. This study proposes methods to find high-demand facility locations with incorporation of the traffic congestion and GHG emission costs incurred by both existing roadway traffic and facility users into the total cost. Tabu search and memetic algorithms were developed and tested with a conventional genetic algorithm in a variety of networks to solve the proposed mathematical model. A case study to determine the total number and locations of community service centers under multiple scenarios in Incheon City is then presented. The results demonstrate that the proposed approach can significantly reduce both the transportation and GHG emission costs compared to the conventional facility-location model. This effort will be useful for decision makers and transportation planners in the analysis of network-wise impacts of traffic congestion and vehicle emission when deciding the locations of high demand facilities in urban areas.


2019 ◽  
Vol 8 (1) ◽  
pp. 1-23 ◽  
Author(s):  
Aud Tennøy ◽  
Jan Usterud Hanssen ◽  
Kjersti Visnes Øksenholt

2017 ◽  
Vol 21 ◽  
pp. 79-86 ◽  
Author(s):  
Xinyuan Chen ◽  
Zhiyuan Liu ◽  
Dongsheng Hua ◽  
Inhi Kim

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