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.

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 Study of Selection of Bus Mode and Rail Train Surabaya – Malang

2020 ◽  
Vol 3 (2) ◽  
pp. 36-44
Author(s):  
Haris Muhammadun ◽  
Sindiah Bagus Mahendra Tama ◽  
Wateno Oetomo ◽  
Sri Wiwoho Mudjanarko
Keyword(s):  
Sensitivity Analysis ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Travel Time ◽  
Logistic Regression Analysis ◽  
Public Transportation ◽  
Travel Costs ◽  
The Difference ◽  
The City ◽  
Selection Of

The need for transportation facilities and infrastructure that is quite large in the city of Surabaya to the city of Malang is the impact of population growth and increased activity in the city. To support economic, social, trade and education activities between the two cities, public transportation facilities are needed that can meet the needs of the community in terms of comfort and safety. Fulfillment of comfort factors in the use of public transportation such as cheap travel costs, speed of travel time, and accuracy of operational schedules, is expected to increase the interest of travelers to use public vehicles more often than private vehicles. The analysis method used, among others, Descriptive Analysis aims to identify the characteristics of users of the Surabaya-Malang and bus modes, then the Logistic Regression Analysis and Binomial Logit Difference Analysis aim to Obtain a model of selection of bus and train modes in the Surabaya-Malang route, then proceed Sensitivity Analysis which aims to determine the sensitivity of the model of the response of the traveler in determining the choice if there is a change in each attribute of the trip. The results of logistic regression analysis and binomial logit difference, it can be concluded that, attribute / variable X2 (travel time) is the attribute / variable that most influences the mode selection. The sensitivity analysis results can be concluded as follows: Sensitivity to travel costs, the possibility of respondents prefer to use the train mode is greater than the bus. Sensitivity to time, the possibility of respondents prefer to use the train mode is greater than the bus. Sensitivity to the departure schedule (headway), the possibility of respondents choosing to use the train mode will be greater than the bus, if the difference in the headway is between 90-165 minutes. However, if the difference in headway is above 165 minutes, then the respondent will switch to choosing the bus mode.

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 Exploring the Synergies between Urban Overheating and Heatwaves (HWs) in Western Sydney

Energies ◽  
2020 ◽  
Vol 13 (2) ◽  
pp. 470 ◽  
Author(s):  
Hassan Saeed Khan ◽  
Riccardo Paolini ◽  
Mattheos Santamouris ◽  
Peter Caccetta
Keyword(s):  
Central Business District ◽  
Heat Fluxes ◽  
Urban Station ◽  
Advective Flux ◽  
Important Interaction ◽  
The Difference ◽  
Business District ◽  
Open Question ◽  
The City ◽  
Synoptic Circulation

There is no consensus regarding the change of magnitude of urban overheating during HW periods, and possible interactions between the two phenomena are still an open question, despite the increasing frequency and impacts of Heatwaves (HW). The purpose of this study is to explore the interactions between urban overheating and HWs in Sydney, which is under the influence of two synoptic circulation systems. For this purpose, a detailed analysis has been performed for the city of Sydney, while considering an urban (Observatory Hill), in the Central Business District (CBD), and a non-urban station in Western Sydney (Penrith Lakes). Summer 2017 was considered as a study period, and HW and Non-Heatwave (NHW) periods were identified to explore the interactions between urban overheating and HWs. A strong link was observed between urban overheating and HWs, and the difference between the peak average urban overheating magnitude during HWs and NHWs was around 8 °C. Additionally, the daytime urban overheating effect was more pronounced during the HWs when compared to nighttime. The advective flux was found as the most important interaction between urban overheating and HWs, in addition to the sensible and latent heat fluxes.

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 Analysis of Urban Car Owners Commute Mode Choice Based on Evolutionary Game Model

2015 ◽  
Vol 2015 ◽  
pp. 1-5 ◽  
Author(s):  
Huawei Gong ◽  
Wenzhou Jin
Keyword(s):  
Public Transportation ◽  
Traffic Congestion ◽  
Initial Conditions ◽  
Heavy Traffic ◽  
Mode Selection ◽  
Evolutionary Game ◽  
The Public ◽  
Transportation Development ◽  
The City

With the aggravation of the traffic congestion in the city, car owners will have to give up commuting with private cars and take the public transportation instead. The paper uses the replication dynamic mechanism to simulate the learning and adjustment mechanism of the automobile owners commuting mode selection. The evolutionary stable strategy is used to describe the long-term evolution of competition game trend. Finally we simulate equilibrium and stability of an evolution of the game under a payoff imbalance situation. The research shows that a certain proportion of car owners will choose public transit under the pressure of public transport development and heavy traffic, and the proportion will be closely related to the initial conditions and urban transportation development policy.

scholarly journals COMPARISON AND OPTIMIZATION OF CORDON AND AREA PRICINGS FOR MANAGING TRAVEL DEMAND

Transport ◽  
2014 ◽  
Vol 29 (3) ◽  
pp. 248-259 ◽  
Author(s):  
Lihui Zhang ◽  
Huiyuan Liu ◽  
Daniel (Jian) Sun
Keyword(s):  
Sensitivity Analysis ◽  
Travel Demand ◽  
Central Business District ◽  
Mixed Integer ◽  
Linear Programs ◽  
Pricing Strategies ◽  
Unified Framework ◽  
Travel Demand Management ◽  
Nonlinear Programs ◽  
Business District

This paper analyses both the cordon and area pricings from the perspective of travel demand management. Sensitivity analysis of various performance measures with respect to the toll rate and demand elastic parameter is performed on a virtual grid network. The analysis shows that cordon pricing mainly affects those trips with origins outside of the Central Business District and destinations inside, while area pricing imposes additional cost on the trips with either origins or destinations in the Central Business District. Though both pricing strategies are able to alleviate traffic congestion in the charging area, area pricing seems more effective, however, area pricing owns the risk to detour too much traffic and thus cause severe congestion to the network outside of the Central Business District. Following the sensitivity analysis, a unified framework is proposed to optimize the designs of the both pricing strategies, which is flexible to account for various practical concerns. The optimization models are formulated as mixed-integer nonlinear programs with complementarity constraints, and the solution procedure is composed of solving a series of nonlinear programs and mixed-integer linear programs. Results from the numerical examples are in line with the findings in the sensitivity analysis. Under the specific network settings, cordon pricing achieves the best system performance when the toll rate reaches the maximum allowed, while area pricing finds the optimal design scheme when the toll rate equals half of the maximum allowed.

scholarly journals FASILITAS TRANSIT RAWA BUAYA

2020 ◽  
Vol 2 (1) ◽  
pp. 387
Author(s):  
Cindy Herlim Santosa ◽  
Sidhi Wiguna Teh
Keyword(s):  
Public Transportation ◽  
Traffic Congestion ◽  
Social Space ◽  
Rapid Development ◽  
Vehicle Ownership ◽  
Third Place ◽  
The Public ◽  
Transportation Modes ◽  
The Difference ◽  
The City

Jakarta is the second most populous city in the world with a population density of 10 million people in 2017. Density causes rapid development in the Jakarta area without any planning. The development that occurs makes the boundaries between office zoning located in the downtown area and residential zones located on the edge of the city. The zones formed have resulted in increased mobility that can be seen from vehicle ownership, transportation modes, and traffic congestion in Jakarta. Charles Montgomery in the book Happy City said that high congestion causes a decline in health that occurs due to stress for the community of public transportation modes. One way to reduce stress is to socialize according to Adhiatma and Christianto (2019). Third Place or social space becomes a solution for socializing for the public transportation community. The Third Place concept can be felt more by the public transportation community, where they can feel the difference between the housing zone and the office zone. The transit or transit place that is formed will be a social space that is used without differentiating social status. One of them is the transit facility located in Rawa Buaya. The Rawa Buaya transit facility is designed using qualitative data collection techniques and cross programming in design planning. The method used produces three main programs that emphasize service, entertainment and commercial functions, which shape social interaction, gathering space, and space for interaction between Rawa Buaya bus terminal communities. AbstrakJakarta merupakan kota kedua terpadat di dunia dengan kepadatan penduduk mencapai 10 juta jiwa pada tahun 2017. Kepadatan menimbulkan perkembangan yang cepat di wilayah Jakarta tanpa adanya perencanaan. Perkembangan yang terjadi membuat batasan antar zonasi perkantoran yang berada di daerah pusat kota dan zona hunian yang berada di pinggir kota. Zona yang terbentuk mengakibatkan peningkatan pergerakan mobilitas yang dapat dilihat dari kepemilikan kendaraan, pengguna moda transportasi, dan kemacetan yang terjadi di Jakarta. Charles Montgomery dalam buku Happy City mengatakan mengenai kemacetan yang tinggi menimbulkan penurunan kesehatan yang terjadi akibat stress bagi kaum komunitas moda transportasi umum. Salah satu cara mengurangi stress adalah dengan bersosialisasi menurut Adhiatma dan Christianto (2019). Third Place atau ruang sosial menjadi solusi untuk bersosialisasi bagi komunitas transportasi umum. Konsep Third Place dapat lebih dirasakan oleh komunitas transportasi umum, dimana mereka dapat merasakan perbedaan zona perumahan dengan zona perkantoran. Tempat transit atau tempat singgah yang terbentuk akan menjadi ruang sosial yang digunakan tanpa membedakan status sosial. Salah satunya fasilitas transit yang berada di Rawa Buaya. Fasilitas transit Rawa Buaya dirancang dengan menggunakan teknik pengumulan data kualitatif dan cross-programming dalam perencanaan perancangan. Metode yang digunakan menghasilkan tiga program utama yang menekankan pada fungsi pelayanan, hiburan, dan komersil, yang membentuk interaksi sosial, ruang berkumpul, dan ruang untuk berinteraksi antar komunitas terminal bus Rawa Buaya.

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)

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.

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