scholarly journals A Novel Trip Coverage Index for Transit Accessibility Assessment Using Mobile Phone Data

2017 ◽  
Vol 2017 ◽  
pp. 1-14 ◽  
Author(s):  
Zhengyi Cai ◽  
Dianhai Wang ◽  
Xiqun (Michael) Chen
Keyword(s):  
Mobile Phone ◽  
Assessment Tool ◽  
Base Stations ◽  
Mobile Phone Data ◽  
Transit System ◽  
Transit Systems ◽  
The Public ◽  
Transit Accessibility ◽  
Transit Services ◽  
The Individual

Transit accessibility is an important measure on the service performance of transit systems. To assess whether the public transit service is well accessible for trips of specific origins, destinations, and origin-destination (OD) pairs, a novel measure, the Trip Coverage Index (TCI), is proposed in this paper. TCI considers both the transit trip coverage and spatial distribution of individual travel demands. Massive trips between cellular base stations are estimated by using over four-million mobile phone users. An easy-to-implement method is also developed to extract the transit information and driving routes for millions of requests. Then the trip coverage of each OD pair is calculated. For demonstrative purposes, TCI is applied to the transit network of Hangzhou, China. The results show that TCI represents the better transit trip coverage and provides a more powerful assessment tool of transit quality of service. Since the calculation is based on trips of all modes, but not only the transit trips, TCI offers an overall accessibility for the transit system performance. It enables decision makers to assess transit accessibility in a finer-grained manner on the individual trip level and can be well transformed to measure transit services of other cities.

scholarly journals Exploring Urban Spatial Feature with Dasymetric Mapping Based on Mobile Phone Data and LUR-2SFCAe Method

2018 ◽  
Vol 10 (7) ◽  
pp. 2432 ◽  
Author(s):  
Lingbo Liu ◽  
Zhenghong Peng ◽  
Hao Wu ◽  
Hongzan Jiao ◽  
Yang Yu
Keyword(s):  
Land Use ◽  
Spatial Heterogeneity ◽  
Mobile Phone ◽  
Census Data ◽  
Base Station ◽  
Distance Decay ◽  
Base Stations ◽  
Mobile Phone Data ◽  
Dasymetric Mapping ◽  
Spatial Feature

Dasymetric mapping of high-resolution population facilitates the exploration of urban spatial feature. While most relevant studies are still challenged by weak spatial heterogeneity of ancillary data and quality of traditional census data, usually outdated, costly and inaccurate, this paper focuses on mobile phone data, which can be real-time and precise, and also strengthens spatial heterogeneity by its massive mobile phone base stations. However, user population recorded by mobile phone base stations have no fixed spatial boundary, and base stations often disperse in extremely uneven spatial distribution, this study defines a distance-decay supply–demand relation between mobile phone user population of gridded base station and its surrounding land patches, and outlines a dasymetric mapping method integrating two-step floating catchment area method (2SFCAe) and land use regression (LUR). The results indicate that LUR-2SFCAe method shows a high fitness of regression, provides population mapping at a finer scale and helps identify urban centrality and employment subcenters with detailed worktime and non-worktime populations. The work involving studies of dasymetric mapping based on LUR-2SFCAe method and mobile phone data proves to be encouraging, sheds light on the relationship between mobile phone users and nearby land use, brings about an integrated exploration of 2SFCAe in LUR with distance-decay effect and enhances spatial heterogeneity.

Accessibility Scenario Analysis of a Hypothetical Future Transit Network: Social Equity Implications of a General Transit Feed Specification–Based Sketch Planning Tool

2017 ◽  
Vol 2671 (1) ◽  
pp. 1-9 ◽  
Author(s):  
Andrew Guthrie ◽  
Yingling Fan ◽  
Kirti Vardhan Das
Keyword(s):  
Planning Process ◽  
Social Equity ◽  
Social Benefit ◽  
Planning Tool ◽  
Transit Planning ◽  
Transit System ◽  
Transit Systems ◽  
Transit Network ◽  
Accessibility Analysis ◽  
Transit Accessibility

Accessibility analysis can have important implications for understanding social equity in transit planning. The emergence and the increasingly broad acceptance of the general transit feed specification (GTFS) format for transit route, stop, and schedule data have revolutionized transit accessibility research by providing researchers with a convenient, publicly available source of data interoperable with common geographic information system (GIS) software. Existing approaches to GTFS-based transit analysis, however, focus on currently operating transit systems. With major transit expansions across the nation and around the world increasing in number and ambition, understanding the accessibility impacts of proposed projects in their early planning stages is crucial to achieving the greatest possible social benefit from these massive public investments. This paper describes the development of a hypothetical transit network based on current GTFS data and proposed 2040 transit improvements for the Twin Cities region of Minneapolis–Saint Paul, Minnesota, as well as its use as a sketch planning tool in exploring the proposed system’s impacts on access to job vacancies from historically disadvantaged areas. This research demonstrates the importance of accessibility analysis in planning a transit system that increases opportunity for marginalized workers and concludes by calling for broader, easier access to accessibility analysis for practitioners and community groups to refine the early stages of the transit planning process and democratize an increasingly crucial transit planning tool.

scholarly journals Optimization Model for Reserve Fleet Sizes in Traditional Transit Systems considering the Risk of Vehicle Breakdowns

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Bowen Hou ◽  
Shuzhi Zhao ◽  
Huasheng Liu ◽  
Jin Li
Keyword(s):  
Optimization Model ◽  
Queueing Theory ◽  
Solution Method ◽  
Transit System ◽  
Transit Systems ◽  
Total Cost ◽  
User Costs ◽  
Transit Services ◽  
Optimized Model ◽  
In Transit

Traditional transit systems are susceptible to unexpected costs and delays due to unforeseen events, such as vehicle breakdowns. The randomness of these events gives the appearance of an imbalance in the number of operating vehicles and of unreliable transit services. Therefore, this paper proposes the queueing theory as a means to characterize the state of any given transit system considering the risk of vehicle breakdowns. In addition, the proposed method is used to create an optimized model for reserve fleet sizes in transit systems, in order to ensure the reliability of the transit system and minimize the total cost of any transit system exposed to the risks of vehicle breakdowns. The optimization is conducted based on the two main characteristics of all bus systems, namely, operator costs and user costs, in both normal and disruptive situations. In addition, the situations in our optimization are generated in scenarios that have a certain degree of probability of experiencing delays. This paper formulates such an optimization model, presents the formulation solution method, and proves the validity of the proposed method.

scholarly journals Understanding Individual Mobility Pattern and Portrait Depiction Based on Mobile Phone Data

2020 ◽  
Vol 9 (11) ◽  
pp. 666
Author(s):  
Chengming Li ◽  
Jiaxi Hu ◽  
Zhaoxin Dai ◽  
Zixian Fan ◽  
Zheng Wu
Keyword(s):  
Big Data ◽  
Mobile Phone ◽  
Smart Cities ◽  
Sampling Rate ◽  
Individual Characteristics ◽  
Mobile Phone Data ◽  
Mobility Pattern ◽  
Individual Mobility ◽  
Short Period ◽  
The Individual

With the arrival of the big data era, mobile phone data have attracted increasing attention due to their rich information and high sampling rate. Currently, researchers have conducted various studies using mobile phone data. However, most existing studies have focused on macroscopic analysis, such as urban hot spot detection and crowd behavior analysis over a short period. With the development of the smart city, personal service and management have become very important, so microscopic portraiture research and mobility pattern of an individual based on big data is necessary. Therefore, this paper first proposes a method to depict the individual mobility pattern, and based on the long-term mobile phone data (from 2007 to 2012) of volunteers from Beijing as part of project Geolife conducted by Microsoft Research Asia, more detailed individual portrait depiction analysis is performed. The conclusions are as follows: (1) Based on high-density cluster identification, the behavior trajectories of volunteers are generalized into three types, and among them, the two-point-one-line trajectory and evenly distributed behavior trajectory were more prevalent in Beijing. (2) By integrating with Google Maps data, five volunteers’ behavior trajectories and the activity patterns of individuals were analyzed in detail, and a portrait depiction method for individual characteristics comprehensively considering their attributes, such as occupation and hobbies, is proposed. (3) Based on analysis of the individual characteristics of some volunteers, it is discovered that two-point-one-line individuals are generally white-collar workers working in enterprises or institutions, and the situation of a single cluster mainly exists among college students and home freelancer. The findings of this study are important for individual classification and prediction in the big data era and can also provide useful guidance for targeted services and individualized management of smart cities.

scholarly journals Evaluation of home detection algorithms on mobile phone data using individual-level ground truth

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Luca Pappalardo ◽  
Leo Ferres ◽  
Manuel Sacasa ◽  
Ciro Cattuto ◽  
Loreto Bravo
Keyword(s):  
Mobile Phone ◽  
Ground Truth ◽  
Mobile Phone Data ◽  
Data Generation ◽  
Individual Level ◽  
Detection Algorithms ◽  
Home Location ◽  
Residence Location ◽  
The Individual ◽  
And Control

AbstractInferring mobile phone users’ home location, i.e., assigning a location in space to a user based on data generated by the mobile phone network, is a central task in leveraging mobile phone data to study social and urban phenomena. Despite its widespread use, home detection relies on assumptions that are difficult to check without ground truth, i.e., where the individual who owns the device resides. In this paper, we present a dataset that comprises the mobile phone activity of sixty-five participants for whom the geographical coordinates of their residence location are known. The mobile phone activity refers to Call Detail Records (CDRs), eXtended Detail Records (XDRs), and Control Plane Records (CPRs), which vary in their temporal granularity and differ in the data generation mechanism. We provide an unprecedented evaluation of the accuracy of home detection algorithms and quantify the amount of data needed for each stream to carry out successful home detection for each stream. Our work is useful for researchers and practitioners to minimize data requests and maximize the accuracy of the home antenna location.

Benchmarking and improving mass transit systems in the United States based on best-in class practices

2017 ◽  
Vol 28 (1) ◽  
pp. 172-193
Author(s):  
Hokey Min ◽  
Young-Hyo Ahn ◽  
Thomas Lambert
Keyword(s):  
Large Scale ◽  
Municipal Government ◽  
Mass Transit ◽  
The United States ◽  
Tobit Regression ◽  
Transit System ◽  
Transit Systems ◽  
Content Type ◽  
Transit Services ◽  
The Usa

Purpose The purpose of this paper is to find ways to develop more efficient mass transit systems across the USA and, thus, make the best use of state/federal/municipal government funds and taxpayers’ monies. This paper conducts benchmarking studies. In doing so, this paper identifies the best-in class mass transit practices that every regional mass transit system can emulate. Design/methodology/approach The continuous underutilization of a mass transit system can increase public scrutiny concerning the increased investment in mass transit services. To defuse such scrutiny, this paper analyzes the past (in year 2011) performances of 515 mass transit agencies in the USA using data envelopment analysis (DEA). Also, to identify which factors influences those performances, the authors paired DEA scores for transit efficiency at the state level against a set of independent variables using a special form of regression analysis called Tobit regression. Findings The authors found that the greater population density of the service area, the greater number of riders can be served in a short amount of distance and time. Also, the authors discovered that the transportation mode of mass transit services could affect mass transit efficiency. On the other hand, the authors found no evidence indicating that the public ownership or private operation of transit systems could make any differences in the transit efficiency. Originality/value This paper is one of the few that assessed the performance of mass transit systems in comparison to their peers using a large-scale data and identify the leading causes of mass transit inefficiency. Thus, this paper helps transit authorities in handling juggling acts of protecting the conflicting interests of government policy makers against the general public and, then, make sensible future investment decisions.

Privatisation of fixed-rail transit systems: a case study of Malaysia's STAR and PUTRA

2006 ◽  
Vol 33 (7) ◽  
pp. 846-853 ◽  
Author(s):  
Abdul-Rashid Abdul-Aziz
Keyword(s):  
Capital City ◽  
Light Rail ◽  
Rail Transit ◽  
Light Rail Transit ◽  
Kuala Lumpur ◽  
Transit System ◽  
Transit Systems ◽  
The Public ◽  
Privatisation Programme

Since the early 1980s, many public utilities have been privatised under Malaysia's privatisation programme. A few, however, have since prematurely returned to government hands, among them the two light-rail transit systems in the capital city of Kuala Lumpur, STAR and PUTRA. This paper chronicles the pre- and post-privatisation events of both facilities before attempting to provide rational explanation behind their untimely surrender to the public domain. Based on publicly available material, this paper argues that neither the quality of government negotiators nor the length of time devoted to negotiating could be attributed to the bailout. Nor is there hint that political favouritism and corruption were at play. More than likely, despite the copious incentives provided to the two concession companies, the two projects proved financially unviable.Key words: build–operate–transfer (BOT), Malaysia, privatisation, light-rail transit system.

scholarly journals Dimensional Multivariate Statistics on Quality Enhancement Systems Embraced for Rapid Transit Systems

2020 ◽  
Vol 8 (6) ◽  
pp. 2103-2107
Keyword(s):  
Job Satisfaction ◽  
Comfort Level ◽  
Rapid Transit ◽  
Transit System ◽  
Transit Systems ◽  
Critical Dimensions ◽  
The Public ◽  
Quality Practices ◽  
Traffic Reduction ◽  
Rider Comfort

The study revolves around effective quality practices embraced along the construction of a rapid transit system at the Chennai airport station concerning managers and comfort level satisfaction. It also aims to compare various dimensions of quality practices and satisfaction levels. A Dimensional survey on engineers and metro users was made and analyzed using SPSS software. The study includes mid-level managers and users of the rapid transit system at Chennai, Tamilnadu. The study has tracked down ten dimensions of quality practices such as work hardness, material standards, materials rates, alternate methods, design criteria, safety nature, structural efficiency, work efficiency, labour & work time, job satisfaction to mid-level Manager’s job satisfaction. The study also identified the other ten dimensions such as traffic reduction, Reach on-time, Smart ticketing system, female coach, daily waver Fare, Vehicle strand area, elevators, Frequency of trips, workplace access, Rider Comfort concerning Metro User's satisfaction. Besides, the study also confirmed that there is a significant impact on the reduction in Traffic reduction, On-Time, Smart ticketing system and Vehicle Strand area. The critical dimensions of the study may help the stakeholders & management to implement effective quality practices in the construction works of rapid transit systems and Services Offered to the Public community.

scholarly journals Fine-Scale Dasymetric Population Mapping with Mobile Phone and Building Use Data Based on Grid Voronoi Method

2020 ◽  
Vol 9 (6) ◽  
pp. 344
Author(s):  
Zhenghong Peng ◽  
Ru Wang ◽  
Lingbo Liu ◽  
Hao Wu
Keyword(s):  
Mobile Phone ◽  
Census Data ◽  
Population Distribution ◽  
Temporal Distribution ◽  
Ordinary Least Squares ◽  
Base Stations ◽  
Mobile Phone Data ◽  
Fine Scale ◽  
Voronoi Method ◽  
Population Mapping

Fine-scale population mapping is of great significance for capturing the spatial and temporal distribution of the urban population. Compared with traditional census data, population data obtained from mobile phone data has high availability and high real-time performance. However, the spatial distribution of base stations is uneven, and the service boundaries remain uncertain, which brings significant challenges to the accuracy of dasymetric population mapping. This paper proposes a Grid Voronoi method to provide reliable spatial boundaries for base stations and to build a subsequent regression based on mobile phone and building use data. The results show that the Grid Voronoi method gives high fitness in building use regression, and further comparison between the traditional ordinary least squares (OLS) regression model and geographically weighted regression (GWR) model indicates that the building use data can well reflect the heterogeneity of urban geographic space. This method provides a relatively convenient and reliable idea for capturing high-precision population distribution, based on mobile phone and building use data.

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