scholarly journals Estimating commuting modal split by using the Best-Worst Method

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Szabolcs Duleba ◽  
Sarbast Moslem ◽  
Domokos Esztergár-Kiss

Abstract Method This paper endeavors to introduce a new approach to modal split estimation. In the frame of the research, a customized model of the recently created Best-Worst Method (BWM) is applied to evaluate mode choice alternatives by transport experts. The integrated BWM model is tested on a real-world case study in Budapest, the capital of Hungary, where a small number of selected experts estimate the modal split of three different groups clustered based on the distance of their commuting. Results The results clearly demonstrate the popularity of public transport among all groups, while car is estimated to be used primarily by short- and mid-distance commuters. The coherence of the responses is tested along with sensitivity analysis and rank correlation comparison. Moreover, the final results are compared to the official modal split data of the city. Recommendations Based on the findings, it can be concluded that the application of BWM results in competitive accuracy compared to the mainstream methodologies, moreover BWM needs significantly less cost and time effort during the survey procedure.

2019 ◽  
Vol 8 (6) ◽  
pp. 272 ◽  
Author(s):  
Iq Reviessay Pulshashi ◽  
Hyerim Bae ◽  
Hyunsuk Choi ◽  
Seunghwan Mun ◽  
Riska Asriana Sutrisnowati

Analysis of trajectory such as detection of an outlying trajectory can produce inaccurate results due to the existence of noise, an outlying point-locations that can change statistical properties of the trajectory. Some trajectories with noise are repairable by noise filtering or by trajectory-simplification. We herein propose the application of a trajectory-simplification approach in both batch and streaming environments, followed by benchmarking of various outlier-detection algorithms for detection of outlying trajectories from among simplified trajectories. Experimental evaluation in a case study using real-world trajectories from a shipyard in South Korea shows the benefit of the new approach.


Author(s):  
Lahcene Bouzouaid ◽  
Moussadek Benabbas

Abstract Today, Algeria is one of the developing countries that are engaging seriously into a new approach consisting of all kinds of combined risk assessments for better prevention them. Note that, this is a fairly important parameter, that is, the safety of people and property. However, the magnitude of the risk, of whatever nature, affects a variety of diversified aspects (Human, economic, technical and environmental). This study presented a case study, which is sometimes paradoxical, seeing that it is the result of the combination of all risk factors and specific factors related to them connected to a fragile urban environment: Hassi-Messaoud. It is well known that Hassi-Messaoud is one of the most important city for Algeria's economy; in which the demographic development is mainly known by incessant flows of immigrants, motivated essentially by job search. This arbitrary of population distribution exposes this city to a certain danger; especially as Hassi-Messaoud is in a zone subject to a probable risk expressed here by being characteristic of an oil zone. Thus, this article aimed to provide elements of risk assessment related to oil activity. This approach could conclude that, through a schematic scale, the different types and levels of exposure and vulnerability could be identified, that is, characteristics of the urban space in question.


2019 ◽  
Vol 44 (3) ◽  
pp. 294-312 ◽  
Author(s):  
Mostafa Rezaei ◽  
Ali Mostafaeipour ◽  
Mohammad Saidi-Mehrabad ◽  
Mojtaba Qolipour ◽  
Ahmad Sedaghat ◽  
...  

The objective of this study was to perform a sensitivity analysis on the factors affecting wind site localization. A case study is selected based on 13 cities in the province of Fars in Iran which is equally applicable in any other wind sites. Then, the cities are ranked using the dual form of the data envelopment analysis model. Next, six criteria are adopted including wind conditions, population, Available Land condition, distance to distribution networks, rate of natural disasters, and the cost of land. In the sensitivity analysis of each criterion, first, the criterion under analysis is omitted from the model, and then the dual model is applied again to obtain a new ranking. Evaluating the results of the ranking for 13 studied cities indicate that the city of Shiraz is just sensitive to the population criterion and fell 11 places in the ranking by omitting this criterion. But the city is insensitive to any other criteria.


2020 ◽  
Vol 12 (8) ◽  
pp. 3266 ◽  
Author(s):  
Alejandro Sánchez-Atondo ◽  
Leonel García ◽  
Julio Calderón-Ramírez ◽  
José Manuel Gutiérrez-Moreno ◽  
Alejandro Mungaray-Moctezuma

Some small- and medium-sized Global South cities have unsustainable transport systems and no information to plan interventions in addition to having limited resources for data collection. This study proposes a method to understand Public Transport (PT) ridership in cities of these characteristics, based on previous studies and by analysing available indicators related to Manheim’s macro-variables, to identify their influence on the PT ridership. The method was applied in the city of Mexicali, Mexico. The results help to understand the causes of the low PT ridership and have implications for achieving sustainable urban mobility in the city. Findings reveal that mobility planning in Mexicali has been occurring without properly considering activity system related variables, so it is necessary to integrate urban and transport administration. Moreover, to increase PT demand in Mexicali, mobility strategies to discourage the use of private cars are necessary. The proposed method can be applied in other cities of the Global South with characteristics similar to the case study to understand the causes of PT ridership, so these can be considered by the agencies responsible for the planning of the city’s transportation system to promote a sustainable urban mobility.


Author(s):  
Gregory Gurevich ◽  
Yuval Cohen ◽  
Baruch Keren

Combining different product types into standard discount bundles is a common strategy used by producers and wholesalers to increase overall sales profitability. While markets consist of many producers and retailers, a deal is typically made between a single producer and a single retailer. This paper deals with a producer who sells items separately, and considers setting and selling standard discount bundles. The purchased wholesale bundles are unpacked by the retailer and the items are sold to the end-users one by one. Thus, the end-user demand distribution is unchanged, but the retailer's order quantity grows with the magnitude of the discount. The paper explores the effect of bundle price and content on the profits of both the producer/wholesaler and the retailer, and derives a general objective function composed of a linear combination of these profits. Moreover, the paper establishes the conditions for bundling profitability and presents a way to optimize the profit of each party (producer, or retailer) without reducing the other party's profit. A real-world case study and sensitivity analysis demonstrate the solution's applicability. The results indicate that bundling can be a coordination tool for increasing expected profit for both the producer and the retailer.


2013 ◽  
Vol 37 (4) ◽  
pp. 457-481 ◽  
Author(s):  
Daniel Alves ◽  
Ana Isabel Queiroz

This article proposes a methodology to address the urban evolutionary process, demonstrating how it is reflected in literature. It focuses on “literary space,” presented as a territory defined by the period setting or as evoked by the characters, which can be georeferenced and drawn on a map. It identifies the different locations of literary space in relation to urban development and the economic, political, and social context of the city. We suggest a new approach for mapping a relatively comprehensive body of literature by combining literary criticism, urban history, and geographic information systems (GIS). The home-range concept, used in animal ecology, has been adapted to reveal the size and location of literary space. This interdisciplinary methodology is applied in a case study to nineteenth- and twentieth-century novels involving the city of Lisbon. The developing concepts of cumulative literary space and common literary space introduce size calculations in addition to location and structure, previously developed by other researchers. Sequential and overlapping analyses of literary space throughout time have the advantage of presenting comparable and repeatable results for other researchers using a different body of literary works or studying another city. Results show how city changes shaped perceptions of the urban space as it was lived and experienced. A small core area, correspondent to a part of the city center, persists as literary space in all the novels analyzed. Furthermore, the literary space does not match the urban evolution. There is a time lag for embedding new urbanized areas in the imagined literary scenario.


2020 ◽  
Author(s):  
Benjamin Oebel ◽  
Dr. Tobias Gaugler

<p><strong>Keywords:</strong> External costs, mobility, environmental costs, social costs, monetarization</p> <p> </p> <p><strong>Purpose: </strong>This study provides a methodology to evaluate the environmental and social costs, which arise from traffic in the German city of Augsburg. Social costs are driven by air pollutants such as nitric oxides or particulate matter, causing health damages. Environmental follow-up costs are driven by the emission of greenhouse gases. Furthermore, approaches for a successful transformation towards a car-free city are shown.</p> <p><strong>Method: </strong>Based on traffic data from the Augsburg Civil Engineering Office, as well as traffic shares from the German Federal Motor Transport Authority, the average emission factors of vehicles on Augsburg´s streets and, subsequently, the total traffic emissions on municipal roads in the city are quantified. The environmental as well as the social consequences are monetarized using the cost rates by Matthey and Bünger (2019) and van Essen et al. (2019). Social costs are additionally assessed using to the DALY approach. Therefore the DALYs lost due to air pollutants are determined and costs per DALY are calculated using the willingness to pay-approach by Cropper and Khanna (2014) and Spengler (2004) additionally to a method by Daroudi et al. (2019) assessing health care expenditures.</p> <p><strong>Results:</strong> Applying this framework to the case study of Augsburg, results show, that environmental costs of 140.6 Million € arise from traffic in the city per year. These costs are entirely attributable to car traffic (77.7%), truck traffic (19.8%) and motorcycle traffic (1.9%), as public transport in Augsburg is climate neutral. Further, traffic on municipal roads in Augsburg causes a loss of 212.3 DALYs per year, which equals to annual social costs of 27.2 Million €. Cars account for 63.2% of those, trucks for 33.8%, motorcycles for 2.3% and buses for 0.2%, respectively. With a proportion of passenger kilometers of 90.4% from cars, 6.1% from motorcycles and 3.6% from buses, it is evident that cars contribute disproportionately to the environmental and social costs of Augsburg's traffic.</p> <p><strong>Conclusion:</strong> The social and economic follow-up costs of transport in the city of Augsburg are currently not borne by the polluter. Their great amount encourages measures, such as reinforcing the use of bicycles or public transport, eventually facilitating a change towards sustainable traffic in Augsburg.</p> <p> </p> <p><strong>References</strong></p> <p>Cropper, Maureen; Khanna, Shefali (2014): How Should the World Bank Estimate Air Pollution Damages? In Resources for the Future Discussion Paper, pp. 14–30.</p> <p>Daroudi, Rajabali; Faramarzi, Ahmad; Akbari Sari, Ali; Nahvijou, Azin (2019): Cost Per Daly Averted in Low, Middle and High Income Countries: Evidence from Global Burden of Disease Study to Estimate the Cost Effectiveness Thresholds. In SSRN Journal.</p> <p>Matthey, Astrid; Bünger, Björn (2019): Methodenkonvention 3.0 zur Ermittlung von Umweltkosten – Kostensätze. Edited by Umweltbundesamt. Available online at https://www.umweltbundesamt.de/sites/default/files/medien/1410/publikationen/2019-02-11_methodenkonvention-3-0_kostensaetze_korr.pdf, checked on 10/29/2020.</p> <p>Spengler, Hannes (2004): Kompensatorische Lohndifferenziale und der Wert eines statistischen Lebens in Deutschland. In Zeitschrift für ArbeitsmarktForschung-Journal for Labour Market Research 37 (3), pp. 269–305.</p> <p>van Essen, Huib; van Wijngaarden, Lisanne, Schroten, Arno; Sutter, Daniel; Bieler, Cuno; Maffii, Silvia; Brambilla, Marco et al. (2019): Handbook on the external costs of transport. Edited by CE Delft. Available online at https://ec.europa.eu/transport/sites/transport/files/studies/internalisation-handbook-isbn-978-92-79-96917-1.pdf, checked on 10/29/2020.</p>


2021 ◽  
Vol 11 (19) ◽  
pp. 8989
Author(s):  
Agostino Marcello Mangini ◽  
Michele Roccotelli ◽  
Alessandro Rinaldi

Technological innovations have revolutionized the lifestyle of the society and led to the development of advanced and intelligent cities. Smart city has recently become synonymous of a city characterized by an intelligent and extensive use of Information and Communications Technologies (ICTs) in order to allow efficient use of information. In this context, this paper proposes a new approach to optimize the planning of itineraries for one-day tourist. More in detail, an optimization approach based on Graph theory and multi-algorithms is provided to determine the optimal tourist itinerary. The aim is to minimize the travel times taking into account the tourist preferences. An Integer Linear Programming (ILP) problem is introduced to find the optimal outward and return paths of the touristic itinerary and a multi-algorithms strategy is used to maximize the number of attractions (PoIs) to be visited in the paths. Finally, a case study focusing on cruise tourist in the city of Bari, demonstrates the efficiency of the approach and the user interaction in the determination of the itinerary.


2019 ◽  
Vol 8 (1) ◽  
pp. 9 ◽  
Author(s):  
Panagiotis Vaitsis ◽  
Socrates Basbas ◽  
Andreas Nikiforiadis

In recent years, the relationship between transportation and subjective well-being has been a major subject. Well-being is a factor that can affect travelers’ psychology and transport mode choice. For this reason, policymakers have attempted to improve travelers’ subjective well-being and promote sustainable modes of transport. For a better understanding of these factors, a questionnaire-based survey was conducted to identify the travel eudaimonia aspect of subjective well-being (comfort, safety, autonomy, self-confidence, physical, and mental health), for the various means of transport in the city of Thessaloniki. During the survey, 300 valid questionnaires were completed. The collection of the above data was followed by statistical analysis. The aim of the analysis was to identify the factors of travel eudaimonia that contributed to the mode choice. For that reason, four ordinal regression models were developed to determine how travel eudaimonia affected the usage frequency of the four available means of transport in the city of Thessaloniki (i.e., private car, bicycle, public transport, walking). Walking was rated higher than other modes in all factors, whilst cycling was rated high in physical and mental health, self-confidence, and autonomy, but low in comfort and safety. Public transport scored very low in all factors, demonstrating the poor quality of service provided by the city’s public transport. Moreover, from the ordinal regression models’ results, it could be demonstrated that travel eudaimonia factors had a significant role to play in mode choice. Recognizing the impact of these factors on transport mode choice is particularly useful for policymakers, researchers, and engineers, as it helps them to make informed decisions about what improvements are needed to promote sustainable modes of transport (mainly walking, cycling, and secondarily, public transport).


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