scholarly journals An Analysis of Habitual Mode Use in the Years of Rising Oil Prices

2019 ◽  
Vol 2019 ◽  
pp. 1-13
Author(s):  
Chansung Kim ◽  
Woo-Yung Kim ◽  
Jiyoung Park
Keyword(s):  
Public Transportation ◽  
Transportation Network ◽  
Oil Prices ◽  
State Dependence ◽  
Probit Model ◽  
Policy Implications ◽  
Vehicle Ownership ◽  
Passenger Cars ◽  
Transportation Modes ◽  
New City

The existence of state dependence derived from panel data has played a very important role in studying employment and labor policies. This study is about state dependence of the transportation sector using retrospective panel survey data. The Ministry of Land, Infrastructure and Transport of Korea has conducted the survey to monitor changes in vehicle ownership and usage nationwide and to prepare measures when oil prices tend to rise sharply. From this data, we identify the existence of state dependence on passenger cars, public transportation, and nonmotorized modes. To do this, we estimate and analyze the dynamic random effects probit model that explains the selection of each transportation mode after controlling for the unobserved individual heterogeneity. Our results indicate that despite the rise of oil prices, behavior of habitual use (i.e., state dependence) of transportation modes is found in all three modes. The amount of state dependence of nonmotorized modes was the largest, followed by passenger cars and public transportation. From the estimated models, important policy implications can be drawn from the fact that the presence of state dependence and the importance of early habit formation are important not only in nonmotorized modes but also in public transportation. In other words, if policy makers want to encourage people to use public transportation in a new city, it suggests that a sufficient and convenient public transportation network should be built before people move to the city. Once cities are built without sufficient public transportation networks and people have become accustomed to using private cars, then it will be more difficult to change their transportation modes, requiring much more social efforts and costs.

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.

Joint Model of Sustainable Mode Choice for Commute, Shift Potential and Alternative Mode Chosen

2021 ◽  
pp. 036119812110179
Author(s):  
Ganesh Ambi Ramakrishnan ◽  
Karthik K. Srinivasan ◽  
Aupal Mondal ◽  
Chandra R. Bhat
Keyword(s):  
Traffic Congestion ◽  
Urban Areas ◽  
Mode Choice ◽  
State Dependence ◽  
Probit Model ◽  
Three Dimensions ◽  
Vehicle Ownership ◽  
Mode Iii ◽  
Alternative Mode ◽  
Work Commute

Rising traffic congestion and severe air pollution in urban areas have led policymakers to find appropriate strategies to encourage the use of sustainable modes. In this context, this paper investigates three choice dimensions related to the work commute travel: (i) Whether and to what extent are sustainable modes considered? (ii) What factors influence the propensity to shift from the primary work commute mode? (iii) Which mode is most likely to be chosen conditional on the decision to shift? These dimensions are analyzed using data of workers from Chennai, India. As the three choices of an individual may be correlated and mutually endogenous because of common and persistent psychological attributes and modal service characteristics, they are modeled using a multi-dimensional probit model. The results show significant evidence of endogeneity, state-dependence, and unobserved correlation across these dimensions leading to significant improvement in fit measures. The results show that perceptions of walkability and environmental impacts of travel modes affect only the consideration of sustainable modes, while vehicle ownership and accessibility to transit affect all three dimensions. Four different behavioral motivations for the decision to shift from the usual mode: dissatisfaction with service attributes, activity constraints, multimodal travel pattern, and inertia, were identified. The mode to which shift occurs is influenced by household vehicle fleet (number and type), exclusive availability to the given decision-maker, and work distance. The insights from this study can be used to identify suitable factors and frame policies to promote sustainable mode choice at various levels.

scholarly journals River Transport Planning Strategy Analysis Using SWOT and AHP Methods

2021 ◽  
Vol 21 (1) ◽  
pp. 14-22
Author(s):  
Yega Mardiansyah ◽  
◽  
Eva Azhra Latifa ◽  
Keyword(s):  
Public Transportation ◽  
Swot Analysis ◽  
Transportation Network ◽  
Vehicle Ownership ◽  
Strategy Analysis ◽  
Planning Strategy ◽  
River Transport ◽  
The Right ◽  
Hierarchy Process ◽  
Transportation Route

Tangerang City is the largest city in Banten Province and the third largest city in Greater Jakarta area which is split by one of the major rivers on the island of Java, namely the Cisadane River. With the increasing number of population and vehicle ownership, it is necessary to develop a public transportation network to reduce traffic volume and meet the needs of urban public transportation that is fast, easy, safe and comfortable for the citizen. The existence of the Cisadane River in Tangerang City has the potential to be developed into a public transportation route in the form of a waterway. Therefore, the right strategy is needed in the planning of river transportation. This study aims to analyze the influencing factors and strategic priorities in planning river transportation as urban public transportation using the Strength Weakness Opportunity Threat (SWOT) and Analytical Hierarchy Process (AHP) methods. In this study, a questionnaire was given to eight expert respondents related to river transportation. The respondents' answers were tested for consistency with AHP to ensure the accuracy of the answers. From the results of the SWOT analysis, it was obtained the strengths, weaknesses, opportunities and threats in river transportation planning, as well as the ST (Strength-Threat) strategy with the largest weight of 3.99 as the strategy to be used in planning river transportation. Then from the AHP analysis, the strategic priority results in planning river transportation were obtained, namely the safety criteria with a weight of 0.29 and alternative strategy for life jackets with a weight of 0.117853325 as the main priority in carrying out the chosen strategy. Respondents' answers are fairly accurate with a consistency ratio of 2.58% ≤ 10%.

scholarly journals Spatiotemporal Varying Effects of Built Environment on Taxi and Ride-Hailing Ridership in New York City

2020 ◽  
Vol 9 (8) ◽  
pp. 475 ◽  
Author(s):  
Xinxin Zhang ◽  
Bo Huang ◽  
Shunzhi Zhu
Keyword(s):  
New York ◽  
New York City ◽  
Built Environment ◽  
Influencing Factors ◽  
Public Transportation ◽  
York City ◽  
Transportation Network ◽  
Ordinary Least Squares ◽  
Vehicle Ownership ◽  
The Difference

The rapid growth of transportation network companies (TNCs) has reshaped the traditional taxi market in many modern cities around the world. This study aims to explore the spatiotemporal variations of built environment on traditional taxis (TTs) and TNC. Considering the heterogeneity of ridership distribution in spatial and temporal aspects, we implemented a geographically and temporally weighted regression (GTWR) model, which was improved by parallel computing technology, to efficiently evaluate the effects of local influencing factors on the monthly ridership distribution for both modes at each taxi zone. A case study was implemented in New York City (NYC) using 659 million pick-up points recorded by TT and TNC from 2015 to 2017. Fourteen influencing factors from four groups, including weather, land use, socioeconomic and transportation, are selected as independent variables. The modeling results show that the improved parallel-based GTWR model can achieve better fitting results than the ordinary least squares (OLS) model, and it is more efficient for big datasets. The coefficients of the influencing variables further indicate that TNC has become more convenient for passengers in snowy weather, while TT is more concentrated at the locations close to public transportation. Moreover, the socioeconomic properties are the most important factors that caused the difference of spatiotemporal patterns. For example, passengers with higher education/income are more inclined to select TT in the western of NYC, while vehicle ownership promotes the utility of TNC in the middle of NYC. These findings can provide scientific insights and a basis for transportation departments and companies to make rational and effective use of existing resources.

scholarly journals Selecting Freight Transportation Modes in Last-Mile Urban Distribution in Pamplona (Spain): An Option for Drone Delivery in Smart Cities

Energies ◽  
2021 ◽  
Vol 14 (16) ◽  
pp. 4748
Author(s):  
Adrian Serrano-Hernandez ◽  
Aitor Ballano ◽  
Javier Faulin
Keyword(s):  
Public Transportation ◽  
Smart Cities ◽  
Freight Transportation ◽  
City Center ◽  
Analytic Hierarchy ◽  
Freight Logistics ◽  
Transportation Modes ◽  
Last Mile ◽  
Urban Distribution ◽  
The City

Urban distribution in medium-sized cities faces a major challenge, mainly when deliveries are difficult in the city center due to: an increase of e-commerce, weak public transportation system, and the promotion of urban sustainability plans. As a result, private cars, public transportation, and freight transportation compete for the same space. This paper analyses the current state for freight logistics in the city center of Pamplona (Spain) and proposes alternative transportation routes and transportation modes in the last-mile city center distribution according to different criteria evaluated by residents. An analytic hierarchy process (AHP) was developed. A number of alternatives have been assessed considering routes and transportation modes: the shortest route criterion and avoiding some city center area policies are combined with traditional van-based, bike, and aerial (drone) distribution protocols for delivering parcels and bar/restaurant supplies. These alternatives have been evaluated within a multicriteria framework in which economic, environmental, and social objectives are considered at the same time. The point in this multicriteria framework is that the criteria/alternative AHP weights and priorities have been set according to a survey deployed in the city of Pamplona (Navarre, Spain). The survey and AHP results show the preference for the use of drone or bike distribution in city center in order to reduce social and environmental issues.

scholarly journals DESIGNING A DATA VISUALISATION AND ANALYSIS TOOL FOR SUPPORTING DECISION-MAKING WITH PUBLIC TRANSPORTATION NETWORK

2021 ◽  
Vol 1 ◽  
pp. 1093-1102
Author(s):  
Flore Vallet ◽  
Mostepha Khouadjia ◽  
Ahmed Amrani ◽  
Juliette Pouzet
Keyword(s):  
Decision Making ◽  
Public Transportation ◽  
Transportation Network ◽  
Visual Exploration ◽  
Problem Solution ◽  
Analysis Tool ◽  
Complex Data ◽  
Data Visualisation ◽  
Ex Post ◽  
Passenger Flows

AbstractMassive data are surrounding us in our daily lives. Urban mobility generates a very high number of complex data reflecting the mobility of people, vehicles and objects. Transport operators are primary users who strive to discover the meaning of phenomena behind traffic data, aiming at regulation and transport planning. This paper tackles the question "How to design a supportive tool for visual exploration of digital mobility data to help a transport analyst in decision making?” The objective is to support an analyst to conduct an ex post analysis of train circulation and passenger flows, notably in disrupted situations. We propose a problem-solution process combined with data visualisation. It relies on the observation of operational agents, creativity sessions and the development of user scenarios. The process is illustrated for a case study on one of the commuter line of the Paris metropolitan area. Results encompass three different layers and multiple interlinked views to explore spatial patterns, spatio-temporal clusters and passenger flows. We join several transport network indicators whether are measured, forecasted, or estimated. A user scenario is developed to investigate disrupted situations in public transport.

scholarly journals COVID-19: From health crises to food security anxiety and policy implications

AMBIO ◽  
2021 ◽  
Vol 50 (4) ◽  
pp. 794-811 ◽  
Author(s):  
Linley Chiwona-Karltun ◽  
Franklin Amuakwa-Mensah ◽  
Caroline Wamala-Larsson ◽  
Salome Amuakwa-Mensah ◽  
Assem Abu Hatab ◽  
...  
Keyword(s):  
Health Economic ◽  
Food Security ◽  
Economic Impact ◽  
Probit Model ◽  
Recovery Process ◽  
Well Being ◽  
Policy Implications ◽  
African Countries ◽  
Use Of Data ◽  
Local Spread

AbstractLike the rest of the world, African countries are reeling from the health, economic and social effects of COVID-19. The continent’s governments have responded by imposing rigorous lockdowns to limit the spread of the virus. The various lockdown measures are undermining food security, because stay at home orders have among others, threatened food production for a continent that relies heavily on agriculture as the bedrock of the economy. This article draws on quantitative data collected by the GeoPoll, and, from these data, assesses the effect of concern about the local spread and economic impact of COVID-19 on food worries. Qualitative data comprising 12 countries south of the Sahara reveal that lockdowns have created anxiety over food security as a health, economic and human rights/well-being issue. By applying a probit model, we find that concern about the local spread of COVID-19 and economic impact of the virus increases the probability of food worries. Governments have responded with various efforts to support the neediest. By evaluating the various policies rolled out we advocate for a feminist economics approach that necessitates greater use of data analytics to predict the likely impacts of intended regulatory relief responses during the recovery process and post-COVID-19.

scholarly journals Study on Tourism Flow Network Patterns on May Day Holiday

2021 ◽  
Vol 13 (2) ◽  
pp. 947
Author(s):  
Shanshan Wu ◽  
Lucang Wang ◽  
Haiyang Liu
Keyword(s):  
Transportation Network ◽  
Edge Structure ◽  
Flow Network ◽  
Factors Affecting ◽  
Spatial Distribution Characteristics ◽  
Transportation Modes ◽  
May Day ◽  
High Level ◽  
Network Patterns ◽  
Main Factor

The development of tourism is based on tourism flow and studying a tourism flow network can help to elucidate its mechanism of operation. Transportation network is the path to realize the spatial displacement of tourism flow. This study used “Tencent migration” big data to explore the spatial distribution characteristics and rules of tourism flow in China, providing suggestions for the development of tourism. The results demonstrate that the 361 cities studied can be divided into three types: destination-oriented, tourist-origin-oriented, and destination-oriented and tourist-origin-oriented. There are significant differences in the quantity of flow, the area of concentration, and the factors affecting the flow in the three types of cities. The larger the flow of tourism between cities, the higher the network level, and the wider the network range. The high-level nodes are closely related, while the peripheral nodes are more widely distributed, with weak attractiveness and inconvenient traffic, forming a “core-edge” structure. Different network patterns are established for different modes of transportation. The degree of response of different types of transportation to distance is the main factor influencing the network patterns of diverse paths. These findings have practical implications for the choice of appropriate travel destinations and transportation modes for tourists.

A TWO-PHASED FUZZY MULTICRITERIA SELECTION AMONG PUBLIC TRANSPORTATION INVESTMENTS FOR POLICY-MAKING AND RISK GOVERNANCE

2012 ◽  
Vol 20 (supp01) ◽  
pp. 31-48 ◽  
Author(s):  
İHSAN KAYA ◽  
BAŞAR ÖZTAYŞI ◽  
CENGIZ KAHRAMAN
Keyword(s):  
Public Transportation ◽  
Capital Investment ◽  
Transportation Policy ◽  
Rolling Stock ◽  
Risk Governance ◽  
Second Phase ◽  
Transportation Modes ◽  
The Social ◽  
Transportation Type

Public transportation can be viewed as a key determinant and consequence of the social and spatial formation and development of contemporary cities and regions. Transportation policy generally combines four categories of instruments, i.e., investment, pricing, regulation and subsidy, to generate viable alternatives. Capital investment in public transportation supports the purchase of equipment and facilities including rolling stock, tracks, control equipment, and the construction of terminals, stations, parking lots, maintenance facilities and power generating facilities. Risk governance for public transportation investments looks at how risk-related decision-making unfolds when a range of actors is involved, requiring co-ordination and possibly reconciliation between a profusion of roles, perspectives, goals and activities. In this paper, a two-phased multicriteria methodology is proposed to select the best investment alternative for public transportation with respect to the predetermined criteria. In the first phase, a selection among transportation types is made, and in the second phase, a selection among transportation modes of the selected transportation type is made. A case study for Istanbul is given in the application section.

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