Analyzing Passenger Travel Demand Related to the Transportation Hub inside a City Area using Mobile Phone Data

2018 ◽  
Vol 2672 (50) ◽  
pp. 23-34 ◽  
Author(s):  
Gang Zhong ◽  
Jian Zhang ◽  
Linchao Li ◽  
Xiaoxuan Chen ◽  
Fan Yang ◽  
...  
Keyword(s):  
Mobile Phone ◽  
Transportation Planning ◽  
Travel Demand ◽  
Urban Transportation ◽  
Mobile Phone Data ◽  
City Area ◽  
Planning And Management ◽  
Passenger Travel ◽  
Transportation Corridors ◽  
The City

The passenger transportation hub plays a crucial role in the urban transportation system. Analyzing transportation hub related travel demand is necessary to support urban transportation planning and management. However, it is difficult to use the traditional travel survey methods to study travel demand because tracking passenger travel trajectories is a near impossible task. The location information from the cellular system provides a feasible way to solve the problem. This paper concentrates on applying mobile phone data to study passenger travel demand related to the Hongqiao transportation hub in Shanghai, China. First, a method is introduced to collect passenger travel information related to the hub from mobile phone data. Then, travel demand indexes are presented to characterize the travel demand in a visual way. Finally, transportation corridors, which connect the hub and other urban areas, are identified to analyze the distribution of travel demand more thoroughly. The results illustrate that the passenger travel demand shows an obvious tide pattern in the city area with the Hongqiao transportation hub as the center. Moreover, there are two identified transportation corridors which reveal the major distribution directions of the passengers, that is, the city center and the Zizhu industrial development zone. The approach in this study testifies that mobile phone data has great potential for transportation planning and management related to transportation hubs.

The Potential GTX Travel Demand using Mobile Phone Data

2019 ◽  
Vol 7 (1) ◽  
pp. 77-84
Author(s):  
Jin Ki Eom ◽  
Kwang-Sub Lee ◽  
Ho-Chan Kwak ◽  
Ji Young Song ◽  
Myeong-Eon Seong
Keyword(s):  
Mobile Phone ◽  
Travel Demand ◽  
Mobile Phone Data

scholarly journals Can We Map-Match Individual Cellular Network Signaling Trajectories in Urban Environments? Data-Driven Study

2019 ◽  
Vol 2673 (7) ◽  
pp. 74-88 ◽  
Author(s):  
Loïc Bonnetain ◽  
Angelo Furno ◽  
Jean Krug ◽  
Nour-Eddin El Faouzi
Keyword(s):  
Mobile Phone ◽  
Cellular Network ◽  
Travel Demand ◽  
Transportation Network ◽  
Urban Environments ◽  
Network Control ◽  
Mobile Phone Data ◽  
Transport Systems ◽  
Spatiotemporal Scales ◽  
Temporal Dimensions

Mobile phone data collected by network operators can provide fundamental insights into individual and aggregate mobility of people, at unprecedented spatiotemporal scales. However, traditional call detail records (CDR) have fundamental issues because of low accuracy in both spatial and temporal dimensions, which limits their applicability for detailed studies on mobility, especially in urban scenarios. This paper focuses on a new generation of mobile phone passive data, individual cellular network signaling data, characterized by higher spatiotemporal resolutions than traditional CDR. A framework based on unsupervised hidden Markov model is designed for map-matching such data on a multimodal transportation network, aimed at accurately inferring the complex multimodal travel itineraries and popular paths people follow in their urban daily mobility. This information, especially if computed at large spatiotemporal scales, can represent a solid basis for studying actual and dynamic travel demand, to properly dimension multimodal transport systems and even perform anomaly detection and adaptive network control. The approach is evaluated in a case study based on real cellular traces collected by a major French operator in the city of Lyon, and a validation study at both microscopic and macroscopic levels proposed. The results show that this approach can properly handle sparse and noisy cell phone trajectories in complex urban environments. Moreover, the results are promising concerning popular paths detection and reconstruction of origin–destination matrices.

scholarly journals The time varying network of urban space uses in Milan

2019 ◽  
Vol 4 (1) ◽  
Author(s):  
Alba Bernini ◽  
Amadou Lamine Toure ◽  
Renato Casagrandi
Keyword(s):  
Land Use ◽  
Mobile Phone ◽  
Urban Space ◽  
Temporal Analysis ◽  
Mobile Phone Data ◽  
Natural Environments ◽  
Urban Structure ◽  
Land Uses ◽  
Population Mobility ◽  
The City

AbstractIn a metropolis, people movements design intricate patterns that change on very short temporal scales. Population mobility obviously is not random, but driven by the land uses of the city. Such an urban ecosystem can interestingly be explored by integrating the spatial analysis of land uses (through ecological indicators commonly used to characterize natural environments) with the temporal analysis of human mobility (reconstructed from anonymized mobile phone data). Considering the city of Milan (Italy) as a case study, here we aimed to identify the complex relations occurring between the land-use composition of its neighborhoods and the spatio-temporal patterns of occupation made by citizens. We generated two spatially explicit networks, one static and the other temporal, based on the analysis of land uses and mobile phone data, respectively. The comparison between the results of community detection performed on both networks revealed that neighborhoods that are similar in terms of land-use composition are not necessarily characterized by analogous temporal fluctuations of human activities. In particular, the historical concentric urban structure of Milan is still under play. Our big data driven approach to characterize urban diversity provides outcomes that could be important (i) to better understand how and when urban spaces are actually used, and (ii) to allow policy makers improving strategic development plans that account for the needs of metropolis-like permanently changing cities.

The Optimal Design Project about Bus Station Spacing in the City

2014 ◽  
Vol 505-506 ◽  
pp. 845-848
Author(s):  
Hui Na Lan ◽  
Lin Wang ◽  
Yong Li Tian
Keyword(s):  
Cost Model ◽  
Rapid Development ◽  
Urban Transportation ◽  
City Size ◽  
Operating Costs ◽  
Total System ◽  
Traffic Jam ◽  
Passenger Travel ◽  
Urban Public Transport ◽  
The City

Urban public transport is the main means of urban resident trip. With the rapid development of national economy, the city size is expanding, and the urban population is becoming larger and larger. However, the development of urban transportation doesnt keep up the pace of development of socio-economic. Traffic jam has become a problem to be urgent solved to some cities. This article selects No.23 bus line in Huaian as studying object, analyzes characteristics of resident trip in Huaian, By referencing the minimum total system cost model, which aims at minimizing the total passenger travel time costs and operating costs, to optimize station distance of No.23 bus line, so can improve bus running efficiency, meet the travel needs of residents better.

Transportation Beautiful

2006 ◽  
Vol 32 (4) ◽  
pp. 511-545 ◽  
Author(s):  
Daniel Baldwin Hess
Keyword(s):  
Transportation Planning ◽  
Urban Transportation ◽  
Integrated Approach ◽  
Built Environments ◽  
Public Places ◽  
Civic Leaders ◽  
Surface Transportation ◽  
City Beautiful ◽  
Critical Components ◽  
The City

Several innovative transportation concepts were critical components of the early twentieth-century City Beautiful reconfiguration of built environments: orderly public places, suitable for important civic buildings; clear hierarchies of streets, avenues, and boulevards, organized in rational patterns with orchestrated vistas; and new terminals that housed improved intercity rail facilities and enhanced intracity travel through improved multimodal surface transportation connections. The City Beautiful aesthetic approach to conceiving urban circulation networks was an important and often overlooked contribution to transportation planning, and improving urban transportation was an important goal for City Beautiful reformers. A review of historical planning documents and project descriptions suggests that civic leaders’ approaches to improving urban circulation during the City Beautiful era are enduring contributions of the movement’s integrated approach to land use and transportation planning and its desire to transform cities into more beautiful places.

scholarly journals Validation of MCMC-Based Travel Simulation Framework Using Mobile Phone Data

2021 ◽  
Vol 2 ◽  
Author(s):  
Suxia Gong ◽  
Ismaïl Saadi ◽  
Jacques Teller ◽  
Mario Cools
Keyword(s):  
Mobile Phone ◽  
Travel Demand ◽  
Mobile Phone Data ◽  
Simulation Framework ◽  
Modeling Framework ◽  
Practical Applications ◽  
Mobility Data ◽  
Demand Models ◽  
The Difference ◽  
Using Data

An essential step in agent-based travel demand models is the characterization of the population, including transport-related attributes. This study looks deep into various mobility data in the province of Liège, Belgium. Based on the data stemming from the 2010 Belgian HTS, that is, BELDAM, a Markov chain Monte Carlo (MCMC) sampling method combined with a cross-validation process is used to generate sociodemographic attributes and trip-based variables. Besides, representative micro-samples are calibrated using data about the population structure. As a critical part of travel demand modeling for practical applications in the real-world context, validation using various data sources can contribute to the modeling framework in different ways. The innovation in this study lies in the comparison of outputs of MCMC with mobile phone data. The difference between modeled and observed trip length distributions is studied to validate the simulation framework. The proposed framework infers trips with multiple attributes while preserving the traveler’s sociodemographics. We show that the framework effectively captures the behavioral complexity of travel choices. Moreover, we demonstrate mobile phone data’s potential to contribute to the reliability of travel demand models.

scholarly journals Mobile Phone Indicators and Their Relation to the Socioeconomic Organisation of Cities

2019 ◽  
Vol 8 (1) ◽  
pp. 19 ◽  
Author(s):  
Clémentine Cottineau ◽  
Maarten Vanhoof
Keyword(s):  
Mobile Phone ◽  
Census Data ◽  
Social Science Research ◽  
Science Research ◽  
Computational Social Science ◽  
Mobile Phone Data ◽  
Spatial And Temporal Heterogeneity ◽  
Statistical Relationships ◽  
Socioeconomic Data ◽  
The City

Thanks to the use of geolocated big data in computational social science research, the spatial and temporal heterogeneity of human activities is increasingly being revealed. Paired with smaller and more traditional data, this opens new ways of understanding how people act and move, and how these movements crystallise into the structural patterns observed by censuses. In this article we explore the convergence between mobile phone data and more traditional socioeconomic data from the national census in French cities. We extract mobile phone indicators from six months worth of Call Detail Records (CDR) data, while census and administrative data are used to characterize the socioeconomic organisation of French cities. We address various definitions of cities and investigate how they impact the statistical relationships between mobile phone indicators, such as the number of calls or the entropy of visited cell towers, and measures of economic organisation based on census data, such as the level of deprivation, inequality and segregation. Our findings show that some mobile phone indicators relate significantly with different socioeconomic organisation of cities. However, we show that relations are sensitive to the way cities are defined and delineated. In several cases, changing the city delineation rule can change the significance and even the sign of the correlation. In general, cities delineated in a restricted way (central cores only) exhibit traces of human activity which are less related to their socioeconomic organisation than cities delineated as metropolitan areas and dispersed urban regions.

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