Implementation of Surveying Techniques in the Route Selection for Baghdad Metro Tube

2021 ◽  
Author(s):  
Saad I Sarsam ◽  
Keyword(s):  
Land Use ◽  
Public Transportation ◽  
Travel Demand ◽  
Transportation Network ◽  
Transportation System ◽  
Transportation Systems ◽  
Google Earth ◽  
Route Selection ◽  
Transit Services ◽  
Selection For

Transportation systems play a central role in a sustainable society by providing mobility for people, goods, and services. Significant sustainability benefits are being derived through the improvements in transportation network efficiency, use of alternative modes and multimodality, integration of sustainable design, better integration of land use and transportation systems. Sustainable transportation system usually refers to any means of transportation which has low impact on the environment, affordable to users and can balance the current and future needs. This work covers the implementation of surveying techniques in the route selection for Baghdad Metro Tube. The travel demand has been assessed through an extensive travel potential survey. The public bus terminals were considered as a major source of data. The number of passengers using the present public transportation system from each bus terminal and for each route to various destinations has been recorded. The passenger supply points have been indicated by latitude and longitude that define the bus stop and the proposed metro route using global positioning system GPS. A passenger counting data was collected concerning the present use of public transport. A line indicates travel from one area to another and a grid was constructed. The present bus routes were identified, and the 28 major and minor public transportation terminals, which represent the passenger trip origin and destination nodes, were detected using GPS. The bus terminals were also positioned by the GPS and affixed. The recent land use of Baghdad urban area and the existing transportation network as obtained from Google earth were utilized in the geographic information system GIS environment. Travel corridors are identified and analyzed according to their existing right-of-way conditions, transit services, land use, and demographics.The positive and negative attributes of each corridor with regards to their potential for supporting transitoriented development TOD and higher capacity transit services have been determined through optimization process in the GIS. Finally, five corridors of the highest trip potential have been selected and proposed.

scholarly journals Spatial Variation of Taxi Demand Using GPS Trajectories and POI Data

2020 ◽  
Vol 2020 ◽  
pp. 1-20 ◽  
Author(s):  
Xinmin Liu ◽  
Lu Sun ◽  
Qiuxia Sun ◽  
Ge Gao
Keyword(s):  
Land Use ◽  
Spatial Variation ◽  
Public Transportation ◽  
Travel Demand ◽  
Negative Impact ◽  
Housing Prices ◽  
Transportation System ◽  
Influential Factors ◽  
Land Use Patterns ◽  
Road Density

Taxi as a door-to-door, all-weather way of travel is an important part of the urban transportation system. A fundamental understanding of temporal-spatial variation and its related influential factors are essential for taxi regulation and urban planning. In this paper, we explore the correlation between taxi demand and socio-economic, transport system and land use patterns based on taxi GPS trajectory and POI (point of interest) data of Qingdao City. The geographically weighted regression (GWR) model is used to describe the influence factors of spatial heterogeneity of the taxi demand and visualize the spatial distributions of parameter estimations. Results indicate that during the peak hours, there are some differences in taxi demand between workdays and weekends. Residential density and housing prices increase the number of taxi trips. Road density, parking lot density and bus station density are positively associated with the taxi demand. It is also found that the higher of the proportion of commercial area and public service area, the greater of the taxi demand, while the proportion of residential area and the land use mix have a negative impact on taxi demand. This paper provides some references for understanding the internal urban environmental factors generating from the taxi travel demand, and provides insights for reducing the taxi vacancy rate, forecasting taxi temporal-spatial demand and urban public transportation system planning.

scholarly journals Effects of Vehicle Restriction Policies on Urban Travel Demand Change from a Built Environment Perspective

2020 ◽  
Vol 2020 ◽  
pp. 1-13 ◽  
Author(s):  
Xiaoyun Cheng ◽  
Kun Huang ◽  
Lei Qu ◽  
Tianbao Zhang ◽  
Li Li
Keyword(s):  
Land Use ◽  
Built Environment ◽  
Public Transportation ◽  
Travel Demand ◽  
Road Traffic ◽  
Transportation Network ◽  
Original Structure ◽  
License Plate ◽  
Contribution Rate ◽  
Four Dimensions

License plate restriction (LPR) policy presents the most straightforward way to reduce road traffic and emissions worldwide. However, in practice, it has aroused great controversy. This policy broke the original structure of the urban transportation mode, which needed some matching strategies to adapt to this change. Investigating this travel demand change is a challenging task because it is greatly influenced by features of the local built environment. Fourteen variables from four dimensions, location, land-use diversity, distance to transit, and street design, are used to depict the built environment; moreover, the severe collinearity underlies these feature variables. To solve the multicollinearity among the variables and high-dimensional problem, this study utilizes two different penalization-based regression models, the LASSO (least absolute shrinkage and selection operator) and Elastic Net regression algorithms, to achieve the variable selection and explore the impacts of the built environment on the change of travel demand triggered by the LPR policy. Travel demand changes are assessed by the relative variation in taxi ridership in each traffic analysis zone based on the taxi GPS data. Built environment variables are measured using the transportation network data and the Baidu Map Service points of interest (POI) data. The results show that regions with a higher level of public transportation service and a higher degree of the land mix have a stronger resilience to the vehicle restriction policy. Besides, the contribution rate of public transportation is stable as a whole, while the contribution rate of richness depends on specific types of land use. The conclusions in this study can provide in-depth insights into the influence of the LPR policy and underpin traffic complementary policies to ensure the effectiveness of LPR.

Population Levels of Well-Being In a Peri-Urban Area of a Metropolitan Region, A Case Study of Selangor Northern Corridor, Malaysia

2021 ◽  
Vol 12 (3) ◽  
pp. 76-83
Author(s):  
Y. Saleh Et.al
Keyword(s):  
Land Use ◽  
Public Transportation ◽  
Urban Areas ◽  
Transportation Network ◽  
Simple Random Sampling ◽  
Well Being ◽  
Metropolitan Region ◽  
Socioeconomic Environment ◽  
Human Needs ◽  
Study Results

This article seeks to identify the levels of well-being of residents of Selangor Northern Corridor, Lembah Klang-Langat Extended Metropolitan Region (EMR). The study involved 400 respondents consisting of the heads of household in peri-urban areas of Selangor Northern Corridor of Lembah Klang-Langat EMR. Respondents were selected via a simple random sampling method. A 1-5 Likert scale questionnaire was used as a research instrument. Based on the well-being index, a variety of variables involving well-being were listed, although the author of this study used four variables, namely housing, transportation, socioeconomic environment and land use. The housing variable consisted of three sub-variables, comprising area selection, safety and facilities. The transport variable included two sub-variables: public transportation and transportation network. The socioeconomic variables society and economy, while the sub-variables for land use were types of activities and property ownership. The study results indicate that the questionnaire’s reliability level was acceptable as the Cronbach’s alpha value of each variable exceeded 0.8. Transportation and socioeconomic environment stood at high levels, while housing and land use were at moderate levels. These findings demonstrate that the level of some of the community’s well-being was high or moderate due to urban sprawl. This means that humans will adapt to the environment in various ways so that it can accord with human needs.

scholarly journals Ridesourcing and Travel Demand: Potential Effects of Transportation Network Companies in Bogotá

2020 ◽  
Vol 12 (5) ◽  
pp. 1732 ◽  
Author(s):  
Daniel Oviedo ◽  
Isabel Granada ◽  
Daniel Perez-Jaramillo
Keyword(s):  
Public Transportation ◽  
Travel Demand ◽  
Transportation Network ◽  
Open Data ◽  
Primary Data ◽  
Small Scale ◽  
Modal Shift ◽  
Economic Implications ◽  
Before And After ◽  
Transportation Network Companies

This paper proposes a modal-shift analysis methodology based on a mix of small-scale primary data and big data sources to estimate the total amount of trips that are reallocated to transportation network companies (TNCs) services in Bogotá, Colombia. The analysis is focused on the following four modes: public transportation, private vehicles, conventional taxis, and TNC services. Based on a stated preferences survey and secondary databases of travel times and costs, the paper proposes a methodology to estimate the reallocation of travel demand once TNCs start operating. Results suggests that approximately one third of public transportation trips are potentially transferred to TNCs. Moreover, potential taxi and private vehicle–transferred trips account for almost 30% of the new TNC demand. Additionally, approximately half of the trips that are reallocated from public transport demand can be considered as complementary, while the remaining share can be considered as potential replacing trips of public transportation. The paper also estimates the potential increase in Vehicle-km travelled in each of the modes before and after substitution as a proxy to the effects of demand reallocation on sustainability, finding increases between 1.3 and 14.5 times the number of Vehicle-km depending on the mode. The paper highlights the role of open data and critical perspectives on available information to analyze potential scenarios of the introduction of disruptive technologies and their spatial, social, and economic implications.

Assessment of Influence of Land Use–Transportation System on Travel Behavior

1997 ◽  
Vol 1607 (1) ◽  
pp. 105-115 ◽  
Author(s):  
Michael G. McNally ◽  
Anup Kulkarni
Keyword(s):  
Land Use ◽  
Travel Behavior ◽  
Transportation System ◽  
Transportation Systems ◽  
Neighborhood Design ◽  
Preliminary Assessment ◽  
Modeling Framework ◽  
Systematic Methodology ◽  
Definition Of ◽  
Planned Unit Development

An empirical assessment of the interaction between the land use–transportation system and travel behavior is presented. A methodology for identifying a range of land use–transportation systems by a clustering technique with network and land use inputs was developed. Twenty neighborhoods from Orange County, California, were considered in this process. Three groups, or themes, were found to best represent the neighborhoods in the sample area: one each associated with the conventional definition of traditional and neotraditional neighborhood design (TND) and planned unit development (PUD) neighborhoods and one representing neighborhoods that blend characteristics of TND and PUD. Conventional measures of individual travel behavior were compared with an analysis of variance between the themes to identify significant differences, controlling for socioeconomic characteristics. Research results include the development of (a) a systematic methodology to identify a more explicit land use–transportation dimension, (b) an estimate of the potential effectiveness of design-oriented solutions to reduce automobile congestion by using the developed themes, and (c) a preliminary assessment of the extent to which development themes can be used to improve the current modeling framework.

Transit Travel Demand Analysis Method Based on APTS Multi-Source Data

2013 ◽  
Vol 361-363 ◽  
pp. 2122-2126
Author(s):  
Jun Chen ◽  
Xiao Hua Li ◽  
Lan Ma
Keyword(s):  
Public Transportation ◽  
Large Scale ◽  
Travel Demand ◽  
Low Cost ◽  
Transportation Systems ◽  
Demand Analysis ◽  
Sample Survey ◽  
Analysis Method ◽  
Source Data ◽  
Bus Stops

Traditional transit travel information is acquired by Trip Sample Survey which has some disadvantages including high cost and short data lifecycle. This paper researched transit travel demand analysis method using Advanced Public Transportation Systems (APTS) data. The study collected APTS data of Nanning City in China and established APTS multi-source data analysis platform applying data warehouse technology. Based on key problems research, the paper presented the analysis procedure and content. Then, this study proposed the core algorithms of the method which are determinations of boarding bus stops, alighting bus stops and transfer bus stops of smart card passengers. Finally, these algorithms programs are experimented using large scale practical APTS data. The results show that this analysis method is low cost, operability and high accuracy.

scholarly journals Calibration of MATSim in the context of natural hazards in Belgium

2016 ◽  
Author(s):  
Mario Cools ◽  
Ismaïl Saadi ◽  
Ahmed Mustafa ◽  
Jacques Teller
Keyword(s):  
Travel Behavior ◽  
Large Scale ◽  
Travel Demand ◽  
Scale Effects ◽  
Transportation Network ◽  
Transportation Systems ◽  
Generation Process ◽  
Traffic Pattern ◽  
Synthetic Population ◽  
River Floods

In Belgium, river floods are among the most frequent natural disasters and they may cause important changes on travel demand. In this regard, we propose to set up a large scale scenario using MATSim for guarantying an accurate assessment of the river floods impact on the transportation systems. In terms of inputs, agent-based models require a base year population. In this context, a synthetic population with a respective set of attributes is generated as a key input. Afterwards, agents are assigned activity chains through an activity-based generation process. Finally, the synthetic population and the transportation network are integrated into the dynamic traffic assignment simulator, i.e. MATSim. With respect to data, households travel surveys are the main inputs for synthesizing the populations. Besides, a steady-state inundation map is integrated within MATSim for simulating river floods. To our knowledge, very few studies have focused on how river floods affect transportation systems. In this regard, this research will undoubtedly provide new insights in term of methodology and traffic pattern analysis under disruptions, especially with regard to spatial scale effects. The results indicate that at the municipality level, it is possible to capture the effects of disruptions on travel behavior. In this context, further disaggregation is needed in future studies for identifying to what extent results are sensitive to disaggregation. In addition, results also suggest that the target sub-population exposed to flood risk should be isolated from the rest of the travel demand to reach have more sensitive effects.DOI: http://dx.doi.org/10.4995/CIT2016.2016.4098

scholarly journals Data Analytic Solution for Heterogeneous Transportation Management Network System: A Case Study of Kwara State, Nigeria

2021 ◽  
pp. 32-49
Author(s):  
A. Aroyehun Kayode ◽  
Abdullateef O. Alabi ◽  
T. Salaudeen Ganiyat
Keyword(s):  
Analytic Solution ◽  
Transportation Network ◽  
Transportation System ◽  
Transportation Systems ◽  
Data Migration ◽  
Design Solution ◽  
Network System ◽  
System A ◽  
Frame Work ◽  
Data Analytic

When the transportation system of any States in Nigeria is effective, it positively contributes to effective economy growth and infrastructural facilities; saves stress and generate revenue to the authorities. This is the desire of every ministry of Transportation for State in Nigeria although a number of constraints usually make it not attainable. The transportation system presently operated by the Ministry of Transportation, Kwara was studied and found to be suffering, cumbersome, exploitative and fall short in all standards of a good transportation network system. Therefore this paper seeks to present the results of the research carried out to Big Data Analytic Solution (BDAS) for the management of the transport companies’ network system within Kwara State. The research adopts a transportation frame work design solution, MySQL for data migration and Php framework ‘codeigniter’ for productive server for the full development. The phase testing is carried out and presents the improved version for the improvement in routes schedules, company’s services and driver’s registration and user booking. The system will serve as open access to heterogeneous communities in Kwara State, Nigeria and make easy booking for passengers, assist communities in management of transportation systems within kwara state, Nigeria.

scholarly journals Reducing Commuter CO2 Footprint through Transit PV Electrification

2020 ◽  
Vol 12 (16) ◽  
pp. 6406
Author(s):  
Zakariya M. Dalala ◽  
Mohammad Alnawafa ◽  
Osama Saadeh ◽  
Emad Alnawafa
Keyword(s):  
Renewable Energy ◽  
Greenhouse Gas ◽  
Public Transportation ◽  
Power Plants ◽  
Ghg Emissions ◽  
Main Idea ◽  
Electrical Energy ◽  
Transportation System ◽  
Transportation Systems ◽  
Transport Sector

The transport sector is a major consumer of energy, and thus a major contributor to greenhouse gas (GHG) emissions. The introduction of Electric Vehicles (EVs) has helped in mitigating some of the energy demands presented by the transportation system, though the electrical energy still needs to be secured through conventional and renewable resources. Searching for a new power source for vehicles has become necessary, due to incentives and policy initiatives to counter fossil greenhouse gas emissions. This study provides a new efficient Photovoltaic (PV) powered transportation system, which may be utilized instead of traditional public transportation systems. The main idea is to transform the transportation systems used by large campuses into green systems by deploying educated scheduling approaches and utilizing existing renewable energy infrastructures. The German Jordan University (GJU) campus was chosen as a case study. The presented work describes a comprehensive methodology to exploit the full capacity of the existing PV power plant coupled with the rescheduling of the transportation fleet to meet the energy availability and consumption demand. The proposed technique audits the existing renewable energy power plants for optimum operation. The results validate the efficiency of the proposed system and its ability to reduce carbon dioxide (CO2) emissions compared to traditional transportation systems with an acceptable payback period.

Map-Matching Algorithm for Applications in Multimodal Transportation Network Modeling

2015 ◽  
Vol 2537 (1) ◽  
pp. 62-70 ◽  
Author(s):  
Kenneth Perrine ◽  
Alireza Khani ◽  
Natalia Ruiz-Juri
Keyword(s):  
Public Transportation ◽  
Transportation Network ◽  
Data Representation ◽  
Transportation Systems ◽  
Data Sets ◽  
The Public ◽  
Standard Data ◽  
Planning Models ◽  
Transit Agencies ◽  
Public Transportation Systems

Generalized Transit Feed Specification (GTFS) files have gained wide acceptance by transit agencies, which now provide them for most major metropolitan areas. The public availability GTFSs combined with the convenience of presenting a standard data representation has promoted the development of numerous applications for their use. Whereas most of these tools are focused on the analysis and utilization of public transportation systems, GTFS data sets are also extremely relevant for the development of multimodal planning models. The use of GTFS data for integrated modeling requires creating a graph of the public transportation network that is consistent with the roadway network. The former is not trivial, given limitations of networks often used for regional planning models and the complexity of the roadway system. A proposed open-source algorithm matches GTFS geographic information to existing planning networks and is also relevant for real-time in-field applications. The methodology is based on maintaining a set of candidate paths connecting successive geographic points. Examples of implementations using traditional planning networks and a network built from crowdsourced OpenStreetMap data are presented. The versatility of the methodology is also demonstrated by using it for matching GPS points from a navigation system. Experimental results suggest that this approach is highly successful even when the underlying roadway network is not complete. The proposed methodology is a promising step toward using novel and inexpensive data sources to facilitate and eventually transform the way that transportation models are built and validated.

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