Taxicab Availability

2017 ◽  
Vol 2650 (1) ◽  
pp. 41-57 ◽  
Author(s):  
Shu Yang ◽  
Chengchuan An ◽  
Yao-Jan Wu ◽  
Jingxin Xia
Keyword(s):  
Public Transportation ◽  
System Performance ◽  
General Public ◽  
Transportation Systems ◽  
Decision Makers ◽  
Demand And Supply ◽  
Two Measures ◽  
Measurement And Evaluation ◽  
Public Transportation Systems ◽  
Insight Into

Because of the popularity and necessity of taxicabs, taxicab-related research has received increasing attention over the past decade. However, few studies have highlighted the value of taxicabs as an important component of public transportation systems, and the measurement and evaluation of taxicab systems have been largely missing in the previous literature. Two measures, from a demand and supply perspective, intuitively can serve as the measures for evaluating taxicab service performance, including loading and availability. Since the concept of taxicab availability has not been clearly defined in previous research, this study proposes a new concept of taxicab availability based on the concept of transit availability. Four taxicab availabilities—namely, spatial, temporal, capacity, and information availability—are further defined and introduced. The study used a large amount of taxicab GPS-based data to measure these availabilities. A framework is proposed to investigate statistically whether there are mathematical patterns behind loading and availability. The results show that patterns can be found and mathematically described, and statistically accurate and reliable taxicab information can be produced based on the patterns. Two presentation aids were selected to present the information: taxicab timetables produced for the general public and loading and availability heat maps produced for decision makers. The research provides detailed insight into taxicab system performance. The contributions of this research are to provide ( a) guidelines for evaluating system performance in a city or region and ( b) taxicab timetables for the general public.

scholarly journals “Unparking”: How can Smart Mobility Reduce Parking Demand in Our Cities to the Minimum? (Beirut Case Study)

Smart Cities ◽  
2020 ◽  
Vol 3 (2) ◽  
pp. 172-185
Author(s):  
Adib Haydar
Keyword(s):  
Public Transportation ◽  
Transportation Systems ◽  
Decision Makers ◽  
Demand And Supply ◽  
Mobility System ◽  
Smart Mobility ◽  
Public Transportation Systems ◽  
Parking Demand ◽  
The City

Beirut is a car-dependent city, with 80% of Beirut citizens using their private cars to move across the city (the rate of car ownership is higher than regional and global benchmarks: 627 cars/1000 in Beirut, 550/1000 in Dubai and 170/1000 in Singapore). This reality causes two related impacts: an increased parking demand and decreased public transportation usage. Furthermore, in order to discuss these aspects, our study addresses the following question: How can the municipality’s interventions and mobility system reforms, such as smart public transportation systems and shareable mobility, reduce parking demand? As our methodology, it consists of three sections: (1) determine Beirut's parking problems by estimating parking demand and supply; (2) assess the potential effects of Beirut municipality policies in comparison to international experiences; and (3) evaluate the potential impacts of the smart public transportation system and shareable mobility in reducing parking demand. This paper studies parking growth in developing countries, such as Lebanon, and can help planners, decision-makers, and the Beirut municipality to make more informed decisions about parking policies, and to meet growing parking demand by introducing smart interventions that have high local potentials.

scholarly journals Virus Transmission Risk in Urban Rail Systems: Microscopic Simulation-Based Analysis of Spatio-Temporal Characteristics

2021 ◽  
pp. 036119812110101
Author(s):  
Jiali Zhou ◽  
Haris N. Koutsopoulos
Keyword(s):  
Public Transportation ◽  
Virus Transmission ◽  
Flow Characteristics ◽  
Transportation Systems ◽  
Transmission Risk ◽  
Microscopic Simulation ◽  
Spatial And Temporal Patterns ◽  
Subway System ◽  
Public Transportation Systems ◽  
The Impact

The transmission risk of airborne diseases in public transportation systems is a concern. This paper proposes a modified Wells-Riley model for risk analysis in public transportation systems to capture the passenger flow characteristics, including spatial and temporal patterns, in the number of boarding and alighting passengers, and in number of infectors. The model is used to assess overall risk as a function of origin–destination flows, actual operations, and factors such as mask-wearing and ventilation. The model is integrated with a microscopic simulation model of subway operations (SimMETRO). Using actual data from a subway system, a case study explores the impact of different factors on transmission risk, including mask-wearing, ventilation rates, infectiousness levels of disease, and carrier rates. In general, mask-wearing and ventilation are effective under various demand levels, infectiousness levels, and carrier rates. Mask-wearing is more effective in mitigating risks. Impacts from operations and service frequency are also evaluated, emphasizing the importance of maintaining reliable, frequent operations in lowering transmission risks. Risk spatial patterns are also explored, highlighting locations of higher risk.

scholarly journals Design of a Hybrid Storage for Road Public Transportation Systems

2018 ◽  
pp. 149-157 ◽  
Author(s):  
Adriano Alessandrini ◽  
Riccardo Barbieri ◽  
Lorenzo Berzi ◽  
Fabio Cignini ◽  
Antonino Genovese ◽  
...  
Keyword(s):  
Public Transportation ◽  
Transportation Systems ◽  
Hybrid Storage ◽  
Public Transportation Systems

scholarly journals LISP Optimisation of Mobile Data Streaming in Connected Societies

2016 ◽  
Vol 2016 ◽  
pp. 1-14 ◽  
Author(s):  
T. Balan ◽  
D. Robu ◽  
F. Sandu
Keyword(s):  
Public Transportation ◽  
Network Architecture ◽  
Virtual Machines ◽  
Transportation Systems ◽  
Urban Environments ◽  
Data Streaming ◽  
Host Mobility ◽  
And Migration ◽  
Public Transportation Systems ◽  
Load Balanced

Mobility mechanisms are key elements of “always connected” smart environments. Since the first mobile IPv4 protocols, the IP mobility solutions have evolved from host mobility to network mobility and migration to IPv6, but there are still use-cases to be covered, especially for redundant multihomed scenarios. Also mobility does not refer only to hosts or individuals, but also to code/applications and to virtual machines. LISP (Locator/Identifier Separation Protocol) can contribute to new solutions for both host mobility and virtual machine mobility (e.g., inside enterprise data centers) by the separation of the identifier and location of a network endpoint. The aim of this paper is to propose a LISP based multihome and load-balanced network architecture for urban environments. Validation is done in an emulated environment for the case of an enterprise with distributed locations, but, furthermore, we extrapolate to other mobile urban scenarios, like the case of providing reliable load-balanced and secured Internet in Public Transportation Systems, with a proposal for an open-source implementation.

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