Optimizing route choice in multimodal transportation networks

2014 ◽  
Vol 41 (9) ◽  
pp. 800-810 ◽  
Author(s):  
Behzad Rouhieh ◽  
Ciprian Alecsandru
Keyword(s):  
Public Transportation ◽  
Travel Behavior ◽  
Traffic Congestion ◽  
Transportation Networks ◽  
Routing Algorithm ◽  
Central Business District ◽  
Subsequent Work ◽  
Traveler Information ◽  
Multimodal Transportation ◽  
Business District

Advanced traveler information systems provide travelers with pre-trip and en route travel information necessary to improve the trip decision making process based on various criteria (e.g., avoiding the negative impacts of traffic congestion, selecting specific travel modes, etc.). This study investigates an adaptive routing methodology for multimodal transportation networks. To integrate transit networks, the model takes into account both the predefined timetables of public transportation services and the variability of travel times. A graph theory based methodology is proposed to capture travel behavior within a multimodal network. The study advances a routing algorithm based on Markov decision processes. Special network modeling elements were defined to allow the developed algorithm to select the most efficient transportation mode at each junction along a given route. The proposed methodology is applied to a small real-world network located in the central business district area of Montreal, Quebec. The network includes bus, subway, and bicycle transportation facilities. The simulations were run under the assumption that users do not use private vehicles to travel between arbitrary selected origin and destination points. The developed routing algorithm was applied to several simulation scenarios. The results identified what is the most efficient combination of transportation modes that the travelers have to use given certain traffic and transit service conditions. Larger and more complex networks of motorized and non-motorized modes with stochastic properties will be investigated in subsequent work.

scholarly journals The Paradoxical Travel Behavior of Bangkokians

2017 ◽  
Vol 2 (5) ◽  
pp. 393
Author(s):  
Panit Pujinda ◽  
Sauvanithi Yupho
Keyword(s):  
Public Transportation ◽  
Travel Behavior ◽  
Transportation Planning ◽  
Publishing House ◽  
Central Business District ◽  
Rail Transit ◽  
Service Areas ◽  
Business District ◽  
The City ◽  
Heavy Rail

Bangkok has been ranked as the world’s most traffic jam more than decades. At the same time, the city is constantly developed with many maga projects with the attempt to heal the problem. However, the developments in Bangkok do not follow transportation planning as elaborated in this paper through three basic expectations of travel behavior. They based on transportation planning in Bangkok are: (1) heavy rail transit that runs on a radial line will transport passengers from residential neighborhoods in outer Bangkok to the central business district (CBD); (2) If the workplace is fixed, persons who live in outer Bangkok are assumed to have higher travel cost and commuting time than those who live in the city center; and (3). A feeder system will support heavy rail transit by expanding service areas and increasing passengers. However, this paper documents how Thai travel behavior is not necessarily conforming to expectations.Keywords: Quality of Life; Travel Behavior; Public Transportation; BangkokISSN: 2398-4287© 2017. The Authors. Published for AMER ABRA by e-International Publishing House, Ltd., UK. This is an open access article under the CC BYNC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia.

scholarly journals Mode Selection Sensitivity Analysis between BRT and Private Vehicle (Case Study of Pontianak City CBD Area)

2021 ◽  
Vol 27 (1) ◽  
pp. 61-68
Author(s):  
Rudi Sugiono Suyono ◽  
Nurhayati Nurhayati ◽  
Wisa Yustrinisa
Keyword(s):  
Sensitivity Analysis ◽  
Public Transportation ◽  
Traffic Congestion ◽  
Mode Selection ◽  
Central Business District ◽  
Selection Model ◽  
Travel Costs ◽  
Storage Area ◽  
The Difference ◽  
Business District

This type of public transportation BRT mode began to be officially applied in Pontianak City to overcome traffic congestion. The problem is that many travelers prefer to use private vehicles rather than public transportation. This study aims to analyze the sensitivity of the mode selection model which explains the probability of choosing a BRT against aprivate vehicles if a BRT is presented in the Central Business District of Pontianak City. The mode selection method uses the Stated Preferences Technique in the form of a quetionnaire which is analyzed by multiple linear regression to obtain a utility equation. Based on the results of the sensitivity analysis of the mode selection model, the probability value of selecting BRT is 21,7%, if it is in conditions where the difference in the attributes offacilities and comfort (X1) is -10, this means that there are no facilities and conveniences of BRTsuch as private vehicles, thesecond is the difference in  thewaiting time attribute (X2) which is 15 minutes, the third condition is the difference in travel costs attribute (X3) namely Rp 0,- and the fourth condition is the difference in travel time attribute (X4), which is 10 minutes To increase the probability of choosing a BRT to 60%, it can be done by increasing the difference between the facilities and comfort attributes to 0 (zero), which means there is no difference in facilities and comfort that BRT has with private vehicles such as the availability of air conditioning, free WIFI, clean, fragrant, having a bag storage area  and others. This is because the most sensitive attributes compared to other attributes are facilities and comfort attributes.

scholarly journals Evaluating the Traffic and Emissions Impacts of Congestion Pricing in New York City

2020 ◽  
Vol 12 (9) ◽  
pp. 3655 ◽  
Author(s):  
Amirhossein Baghestani ◽  
Mohammad Tayarani ◽  
Mahdieh Allahviranloo ◽  
H. Oliver Gao
Keyword(s):  
New York ◽  
Travel Behavior ◽  
Traffic Congestion ◽  
Network Performance ◽  
Travel Demand ◽  
Transportation Network ◽  
Congestion Pricing ◽  
Central Business District ◽  
Demand Model ◽  
Business District

Traffic congestion is a major challenge in metropolitan areas due to economic and negative health impacts. Several strategies have been tested all around the globe to relieve traffic congestion and minimize transportation externalities. Congestion pricing is among the most cited strategies with the potential to manage the travel demand. This study aims to investigate potential travel behavior changes in response to cordon pricing in Manhattan, New York. Several pricing schemes with variable cordon charging fees are designed and examined using an activity-based microsimulation travel demand model. The findings demonstrate a decreasing trend in the total number of trips interacting with the central business district (CBD) as the price goes up, except for intrazonal trips. We also analyze a set of other performance measures, such as Vehicle-Hours of Delay, Vehicle-Miles Traveled, and vehicle emissions. While the results show considerable growth in transit ridership (6%), single-occupant vehicles and taxis trips destined to the CBD reduced by 30% and 40%, respectively, under the $20 pricing scheme. The aggregated value of delay for all vehicles was also reduced by 32%. Our findings suggest that cordon pricing can positively ameliorate transportation network performance and consequently, improve air quality by reducing particular matter inventory by up to 17.5%. The results might facilitate public acceptance of cordon pricing strategies for the case study of NYC. More broadly, this study provides a robust framework for decision-makers across the US for further analysis on the subject.

scholarly journals Mode Choice Modeling to Shift Car Travelers towards Park and Ride Service in the City Centre of Karachi

2021 ◽  
Vol 13 (10) ◽  
pp. 5638
Author(s):  
Irfan Ahmed Memon ◽  
Saima Kalwar ◽  
Noman Sahito ◽  
Mir Aftab Hussain Talpur ◽  
Imtiaz Ahmed Chandio ◽  
...  
Keyword(s):  
Public Transportation ◽  
Travel Behavior ◽  
Traffic Congestion ◽  
Travel Demand ◽  
Mode Choice ◽  
Central Business District ◽  
Choice Models ◽  
City Centre ◽  
Travel Demand Management ◽  
Park And Ride

Currently, congestion in Karachi’s central business district (CBD) is the result of people driving their cars to work. Consequently, a park and ride (P&R) service has proved successful in decreasing traffic congestion and the difficulty of finding parking spaces from urban centers. The travelers cannot be convinced to shift towards the P&R service without an understanding of their travel behavior. Therefore, a travel behavior survey needs to be conducted to reduce the imbalance between public and private transport. Hence, mode choice models were developed to determine the factors that influence single-occupant vehicle (SOV) travelers’ decision to adopt the P&R service. Data were collected by an adapted self-administered questionnaire. Mode choice models were developed through logistic regression modeling by using the Statistical Package for the Social Sciences version 22. The findings concluded that more than 70%, specifically motorbike users, to avoid mental stress, and to protect the environment are willing to adopt the P&R service. Moreover, to validate the mode choice models, logit model training and a testing approach were used. In conclusion, by overcoming these influencing factors and balancing push and pull measures of travel demand management (TDM), SOV users can be encouraged to shift towards P&R services. Thus, research outcomes can support policymakers in implementing sustainable modes of public transportation.

scholarly journals Analyzing the Issue of On-street Parking in Commercial Areas: A Case Study of the City of Hyderabad, Pakistan

2018 ◽  
Vol 01 (02) ◽  
pp. 01-09
Author(s):  
Baig Farrukh ◽  
Sahito Noman ◽  
Bano Arsla ◽  
Keyword(s):  
Traffic Congestion ◽  
Urban Areas ◽  
Survey Methodology ◽  
Greenhouse Gas Emission ◽  
Central Business District ◽  
Rapid Urbanization ◽  
Analysis Technique ◽  
Business District ◽  
Public Views ◽  
The City

In developing countries, rapid urbanization has created an enormous pressure on land use, infrastructure and transportation. The fast growing ratio of motorized vehicles in urban areas is the main cause of environmental degradation. Almost 80% of the greenhouse gas emission is from vehicles in cities. In the city centers, on-street parking is considered the major cause of traffic congestion. The aim of this study was to evaluate the problems of on-street parking and disorderly parking at Central Business District (CBD) of Hyderabad city. The field survey methodology was adopted to perceive the current traffic problems in the city center and traffic count survey was carried out in both peak and off hours. The data was analyzed using descriptive statistics frequency analysis technique with the help of Statistical Package for the Social Sciences (SPSS). The findings revealed that increasing number of vehicles, on-street parking, improper parking, encroachment, inadequate parking space and poor condition of roads are the main causes of traffic congestion. The study bridges up the research gap of determining public views about on-street parking challenges in the context of Hyderabad, Pakistan and provides statistical results which may equally be adapted by policy makers and transportation planners in order to improve the traffic situation.

scholarly journals Built Environment Correlates of the Propensity of Walking and Cycling

2020 ◽  
Vol 12 (20) ◽  
pp. 8752
Author(s):  
Longzhu Xiao ◽  
Linchuan Yang ◽  
Jixiang Liu ◽  
Hongtai Yang
Keyword(s):  
Built Environment ◽  
Traffic Congestion ◽  
Central Business District ◽  
Decision Makers ◽  
Policy Implications ◽  
Research Attention ◽  
Bus Stop ◽  
Intersection Density ◽  
Business District ◽  
Public Health Promotion

Walking and cycling are not only frequently-used modes of transport but also popular physical activities. They are beneficial to traffic congestion mitigation, air pollution reduction, and public health promotion. Hence, examining and comparing the built environment correlates of the propensity of walking and cycling is of great interest to urban practitioners and decision-makers and has attracted extensive research attention. However, existing studies mainly look into the two modes separately or consider them as an integral (i.e., active travel), and few compare built environment correlates of their propensity in a single study, especially in the developing world context. Thus, this study, taking Xiamen, China, as a case, examines the built environment correlates of the propensity of walking and cycling simultaneously and compares the results wherever feasible. It found (1) built environment correlates of the propensity of walking and cycling differ with each other largely in direction and magnitude; (2) land use mix, intersection density, and bus stop density are positively associated with walking propensity, while the distance to the CBD (Central Business District) is a negative correlate; (3) as for cycling propensity, only distance to CBD is a positive correlate, and job density, intersection density, and bus stop density are all negative correlates. The findings of this study have rich policy implications for walking and cycling promotion interventions.

scholarly journals Perpanjangan Lintas Dan Rencana Pola Operasi Kereta Api Lembah Anai Wilayah Divre II Sumatera Barat

2021 ◽  
Vol 23 (1) ◽  
pp. 72-78
Author(s):  
Eka Arista Anggorowati ◽  
Anggun Mega Nurfadhilla ◽  
Ari Widi Wibowo ◽  
Enrico Pria Anggana
Keyword(s):  
Public Transportation ◽  
Stated Preference ◽  
Central Business District ◽  
Rail Transportation ◽  
City Center ◽  
Transportation Services ◽  
Potential Demand ◽  
Business District ◽  
The City ◽  
Center Increase

ABSTRACTThe growing population and the shifting of population movement from the suburbs to the city center will make the demand for rail transportation services to the city center increase. To deal with this problem, it is necessary to study the analysis related to potential demand, the need for the number of facilities and new operating patterns for the extension of railroad relations. The results of the research showed that the potential demand was obtained from the calculation of actual and potential demand, where the actual demand was obtained by carrying out a survey on train from 644 respondents, 85.5% agreed with the extension of the Lembah Anai Railway relation and as many as 88% were willing to choose the train mode. In the potential demand analysis, a stated preference survey was carried out in Pauh District, from 2636 respondents, 86.7% were willing to switch from private vehicles and public transportation to the railroad mode. Based on the analysis of the calculation of facility requirements according to the demand, 1 trainset is ready for operation to accommodate the community to carry out daily mobilization to the center of the Central Business District (CBD) in Padang City.Keywords: Demand, pattern of rail operations, Railway Travel Graph (RTG) ABSTRAK Berkembangnya jumlah penduduk dan semakin bergesernya pergerakan penduduk dari pinggiran kota menuju pusat kota akan membuat semakin meningkatnya jumlah permintaan akan jasa angkutan kereta api sampai menuju pusat kota. Untuk menunjang permasalahan tersebut perlu dikaji analisis terkait potensi demand, kebutuhan jumlah sarana dan pola operasi baru perpanjangan relasi kereta api. Hasil penelitian menunjukkan potensi demand didapatkan dari perhitungan demand aktual dan potensial, dimana demand aktual dilakukan survey on train dari 644 responden 85,5% setuju dengan adanya perpanjangan relasi Kereta Api Lembah Anai dan sebanyak 88% bersedia untuk memilih moda kereta api. Pada analisis demand secara potensial dilakukan survey stated preference di Kecamatan Pauh dari 2636 responden 86,7% bersedia untuk pindah dari moda kendaraan pribadi dan angkutan umum ke moda kereta api. Berdasarkan analisis perhitungan kebutuhan sarana sesuai dengan demand didapatkan 1 trainset Siap Operasi untuk mengakomodir masyarakat melakukan mobilisasi sehari-hari menuju pusat Central Business District (CBD) di Kota Padang.Kata kunci : Demand, kebutuhan sarana, pola operasi kereta api, Grafik Perjalanan Kereta Api (Gapeka)

scholarly journals How Congested Jakarta is? Perception of Jakarta’s Citizen on Traffic Congestion

2017 ◽  
Vol 62 (3) ◽  
pp. 141 ◽  
Author(s):  
Muhammad Halley Yudhistira ◽  
Decky Priambodo Koesrindartono ◽  
Sonny Harry Budiutomo Harmadi ◽  
Andhika Putra Pratama
Keyword(s):  
Travel Time ◽  
Travel Behavior ◽  
Traffic Congestion ◽  
Urban Economics ◽  
Behavioral Science ◽  
Probabilistic Sampling ◽  
Golden Triangle ◽  
Business District ◽  
Physical Engineering ◽  
Sampling Survey

This paper aims to reveal the behavior and perception of Jakarta’s citizens on traffic congestion in Jakarta. Although this approach is somewhat well-developed in behavioral science, its utilization in urban economics study, is still limited. Detecting the traffic congestion and its cause mainly relies on physical (engineering) methods, i.e V/C ratio. Here, we define the traffic congestion through two variables; ordinal traffic congestion perception and proportion of expected travel time to perceived travel time. Using a non-probabilistic sampling survey held in one of densest business district in Jakarta called Sudirman-Thamrin Golden Triangle Area; the estimation results show that travel behavior plays a major role in affecting travel time perceptions.AbstrakStudi ini bertujuan untuk melihat tingkah laku masyarakat Jakarta terhadap kemacetan di Jakarta. Pendekatan yang digunakan dalam studi ini telah banyak dikembangkan dalam studi behavioral science, namun penggunaanya dalam studi ekonomi perkotaan masih terbatas. Mendeteksi tingkat kemacetan serta penyebabnya umumnya mengandalkan metode fisik seperti V/C ratio. Studi ini mendefinisikan tingkat kemacetan ke dalam dua variabel, persepsi tingkat kemacetan ordinasl serta proporsi dari ekspektasi waktu perjalanan terhadap waktu perjalanan actual. Dengan menggunakan survey non-probabilitic sampling di Sudirman-Tharim Golden Triangle Area, hasil estimasi menunjukkan bahwa perilaku perjalanan (travel behavior) berperan utama dalam mempengaruhi persepsi waktu perjalanan.Kata kunci: Tingkat Kemacetan; Waktu Perjalanan; Perilaku Perjalanan; PersepsiJEL classifications: R40; R41

The Central Business District in American Cities

2018 ◽  
Author(s):  
Emily Remus
Keyword(s):  
20Th Century ◽  
Traffic Congestion ◽  
Central Business District ◽  
Urban Life ◽  
Land Values ◽  
White Families ◽  
Race And Class ◽  
Business District ◽  
American Cities ◽  
The City

The central business district, often referred to as the “downtown,” was the economic nucleus of the American city in the 19th and 20th centuries. It stood at the core of urban commercial life, if not always the geographic center of the metropolis. Here was where the greatest number of offices, banks, stores, and service institutions were concentrated—and where land values and building heights reached their peaks. The central business district was also the most easily accessible point in a city, the place where public transit lines intersected and brought together masses of commuters from outlying as well as nearby neighborhoods. In the downtown, laborers, capitalists, shoppers, and tourists mingled together on bustling streets and sidewalks. Not all occupants enjoyed equal influence in the central business district. Still, as historian Jon C. Teaford explained in his classic study of American cities, the downtown was “the one bit of turf common to all,” the space where “the diverse ethnic, economic, and social strains of urban life were bound together, working, spending, speculating, and investing.” The central business district was not a static place. Boundaries shifted, expanding and contracting as the city grew and the economy evolved. So too did the primary land uses. Initially a multifunctional space where retail, wholesale, manufacturing, and financial institutions crowded together, the central business district became increasingly segmented along commercial lines in the 19th century. By the early 20th century, rising real estate prices and traffic congestion drove most manufacturing and processing operations to the periphery. Remaining behind in the city center were the bulk of the nation’s offices, stores, and service institutions. As suburban growth accelerated in the mid-20th century, many of these businesses also vacated the downtown, following the flow of middle-class, white families. Competition with the suburbs drained the central business district of much of its commercial vitality in the second half of the 20th century. It also inspired a variety of downtown revitalization schemes that tended to reinforce inequalities of race and class.

Analysis of Factors Influencing the Determination of Land Compensation Value of PLN Tower on the Construction of TL 150 KV Kuala-Binjai

2021 ◽  
Vol 8 (9) ◽  
pp. 184-188
Author(s):  
Sahril A ◽  
Nazaruddin Matondang ◽  
Sugiharto Pujangkoro
Keyword(s):  
Public Transportation ◽  
Legal Aspect ◽  
Central Business District ◽  
The Public ◽  
The Road ◽  
Descriptive Research ◽  
The Government ◽  
Quantitative Descriptive ◽  
Business District ◽  
Transportation Route

The purpose of the study is to find out and analyze how much influence the distance of tower land the central business district (CBD), distance of tower land to the government office, legal aspect of tower land, distance of the tower land to the public transportation route, and road class classification on land compensation value of PLN Tower on the construction of TL 150 KV Kuala-Binjai. This research is a quantitative descriptive research. The location of the research object is in Langkat Regency and Binjai City, North Sumatra Province, totaling 40 objects of land compensation value. All populations are as samples. The analytical method used is multiple linear regression. The results showed that the distance of the tower land to the central business district (CBD) has a significant effect on land compensation value. The distance of the tower land to the government office has a significant effect on land compensation value. The legal aspect of tower land has a significant effect on land compensation value. The distance of the tower land to the public transportation route has no significant effect on land compensation value. The road class classification has no significant effect on land compensation value. Keywords: Central Business District, Government Office, Legal Aspect, Public Transportation, Road Class Classification, Land Compensation Value.

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