Micromobility Station Placement Optimization for a Rural Setting

Micromobility is an evolving form of transportation modality that uses small human- or electric-powered vehicles to move people short distances. Planners expected that bike sharing, the first form of micromobility, would reduce traffic congestion, cut travel cost, reduce pollution, enable connectivity with other modes of transport, and promote public health. However, micromobility options also brought new challenges such as the difficulty of placement decisions to encourage adoption and to minimize conflict with other transport modes. Sound deployment decisions depend on the unique environmental characteristics and demographics of a location. Most studies analyzed deployments in high-density urban areas. This research determines the best locations for 5 new bike-sharing stations in Fargo, North Dakota, a small urban area in the rural United States. The workflow combines a geographic information system (GIS), level of traffic stress (LTS) ratings, and location-allocation optimization models. The spatial analysis considered 18 candidate station locations and eliminated those that fell within the 700-meter isochrone walking distance of the 11 existing stations. This case study demonstrates a scalable workflow that planners can repeat to achieve sustainable micromobility deployments by considering the land use, population density, activity points, and characteristics of the available pathways in their unique setting.

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Prediction of Bike Sharing Demand

Oriental journal of computer science and technology ◽

10.13005/ojcst/10.01.30 ◽

2017 ◽

Vol 10 (1) ◽

pp. 219-226 ◽

Cited By ~ 1

Author(s):

Purnima Sachdeva ◽

K N Sarvanan

Keyword(s):

New York ◽

Linear Combination ◽

Random Forests ◽

Traffic Congestion ◽

Urban Areas ◽

Machine Learning Techniques ◽

Health Consciousness ◽

Learning Techniques ◽

The World ◽

Bike Sharing

Bike sharing systems have been gaining prominence all over the world with more than 500 successful systems being deployed in major cities like New York, Washington, London. With an increasing awareness of the harms of fossil based mean of transportation, problems of traffic congestion in cities and increasing health consciousness in urban areas, citizens are adopting bike sharing systems with zest. Even developing countries like India are adopting the trend with a bike sharing system in the pipeline for Karnataka. This paper tackles the problem of predicting the number of bikes which will be rented at any given hour in a given city, henceforth referred to as the problem of ‘Bike Sharing Demand’. In this vein, this paper investigates the efficacy of standard machine learning techniques namely SVM, Regression, Random Forests, Boosting by implementing and analyzing their performance with respect to each other.This paper also presents two novel methods, Linear Combination and Discriminating Linear Combination, for the ‘Bike Sharing Demand’ problem which supersede the aforementioned techniques as good estimates in the real world.

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Location and Coverage Analysis of Bike- Sharing Stations in University Campus

Business Systems Research Journal ◽

10.2478/bsrj-2018-0021 ◽

2018 ◽

Vol 9 (2) ◽

pp. 80-95 ◽

Cited By ~ 11

Author(s):

Suleyman Mete ◽

Zeynel Abidin Cil ◽

Eren Özceylan

Keyword(s):

Mathematical Models ◽

Walking Distance ◽

University Campus ◽

University Administrators ◽

Future Planning ◽

Distance Methods ◽

Coverage Analysis ◽

Bike Sharing ◽

Insight Into

Abstract Background: Bike-sharing programmes have become popular in a large number of cities in order to facilitate bicycle use. Determining the location of bike sharing stations is vital to success of these programmes. Objectives: In this paper, a case study is applied to the Gaziantep University campus in order to find possible locations of the stations for users (students). The purpose is to minimize the total walking distance. Methods/Approach: Set and maximal covering mathematical models are considered to decide on coverage capability of determined 20 demand points and 20 potential bike stations. Then, the mathematical models of P-center and P-median are used to build possible stations and to allocate demand points to the opened stations. Finally, an undesirable facility location model is used to find the bike stations, which have the maximum distance from demand nodes, and to eliminate them. Results: In computational results, it is clearly seen that the proposed approaches set the potential bike station covering all demand points. They also provide different solutions for the campus planners. Conclusions: The methodology outlined in this study can provide university administrators with a useful insight into locations of stations, and in this way, it contributes significantly to future planning of bike-sharing systems.

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The Location of Fire Stations in a Rural Environment: A Case Study

Environment and Planning A Economy and Space ◽

10.1068/a220039 ◽

1990 ◽

Vol 22 (1) ◽

pp. 39-52 ◽

Cited By ~ 21

Author(s):

D Richard ◽

H Beguin ◽

D Peeters

Keyword(s):

Case Studies ◽

Urban Areas ◽

Emergency Service ◽

Rural Environment ◽

Location Allocation ◽

Nested Structure ◽

Fire Stations ◽

The Stability

In this paper an application of location-allocation modelling to an emergency service is presented. This study differs in two aspects from earlier work because it covers two neglected fields: (1) it is concerned with a rural environment whereas most case studies are about urban areas; (2) it is a comparison of the performance of several models instead of using only one. Efficiency as well as equity are taken into account. The main conclusions are about the issues of the choice of an appropriate model from 3 candidate models, the stability of the solutions with respect to variations in the number of facilities, the quasi-nested structure of some solutions, and the high cost of introducing equity.

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How does parking availability interplay with the land use and affect traffic congestion in urban areas? The case study of Xi’an, China

Sustainable Cities and Society ◽

10.1016/j.scs.2020.102126 ◽

2020 ◽

Vol 57 ◽

pp. 102126 ◽

Cited By ~ 3

Author(s):

Tong Shen ◽

Yu Hong ◽

Michelle M. Thompson ◽

Jiaping Liu ◽

Xiaoping Huo ◽

...

Keyword(s):

Land Use ◽

Traffic Congestion ◽

Urban Areas

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A Sustainable Crowdsourced Delivery System to Foster Free-Floating Bike-Sharing

Sustainability ◽

10.3390/su11102772 ◽

2019 ◽

Vol 11 (10) ◽

pp. 2772 ◽

Cited By ~ 3

Author(s):

Mario Binetti ◽

Leonardo Caggiani ◽

Rosalia Camporeale ◽

Michele Ottomanelli

Keyword(s):

Network Design ◽

Delivery System ◽

Urban Areas ◽

Design Model ◽

Mobility Service ◽

Shared Mobility ◽

Bike Sharing ◽

Postal Services ◽

Urban Contexts

Since bicycles and bike-sharing systems are becoming increasingly important in modern transportation contexts, we suggest in this paper an alternative method to incorporate cycling among the freight transport alternatives within urban areas. We propose pursuing a sustainable initiative of crowdsourced delivery where some of the urban good deliveries may be voluntarily undertaken by users of the free-floating bike-sharing systems while following their prefixed route in exchange for some kind of reward. We believe that a network design model that allows properly allocating the resources of the bike-shared mobility service could improve the potential of crowdshipping, making it a viable support and supplement for the local postal services, and more easily accepted and adopted in urban contexts. An application to a case study has been embodied to show the effectiveness and advantages of our proposal.

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Planning and Design of Equitable Free-Floating Bike-Sharing Systems Implementing a Road Pricing Strategy

Journal of Advanced Transportation ◽

10.1155/2017/3182387 ◽

2017 ◽

Vol 2017 ◽

pp. 1-18 ◽

Cited By ~ 9

Author(s):

Leonardo Caggiani ◽

Rosalia Camporeale ◽

Michele Ottomanelli

Keyword(s):

Sensitivity Analysis ◽

Sustainable Development ◽

Traffic Congestion ◽

Social Equity ◽

Road Pricing ◽

Pricing Strategy ◽

Numerical Application ◽

Planning And Design ◽

Bike Sharing

Promoting a more sustainable development of urban realities is one of the most important goals of the recent decades. One possible strategy to undertake in order to achieve this objective is the implementation of a road pricing: tolling private cars when passing by certain roads of the network could be a way to tone down the traffic congestion and, at the same time, encourage the shifting towards more sustainable means of transport. In this context, we suggest a method to distribute in a fair way the outcomes/revenues of this pricing strategy. In particular, we propose to design a free-floating bike-sharing system whose resources could be allocated in the territory according to spatial and social equity principles. The relation between the amount of the tolls, the number of days of application of the policy, and the pursued equity is investigated, and both a numerical application (to a test network and to a real case study) and a sensitivity analysis in support of the method are enclosed.

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“Traffic Congestion and Speed Delays at Benz Circle, Vijayawada Due to Construction Activities”, A Case Study

International Journal of Engineering & Technology ◽

10.14419/ijet.v7i2.1.11047 ◽

2018 ◽

Vol 7 (2.1) ◽

pp. 75

Author(s):

B Akhila ◽

K Sai Krishna ◽

M Sri Nikhil ◽

Malathi Narra

Keyword(s):

Traffic Flow ◽

Traffic Congestion ◽

Urban Areas ◽

Traffic Management ◽

High Speed ◽

Heavy Traffic ◽

Negative Effects ◽

The Mean ◽

Mean Time

In urban areas, traffic congestion is a major problem. Heavy traffic flow on National Highways with high speed, when mixed up with local traffic at crossings, traffic congestion is likely to occur. This causes many negative effects like pollution, delay, accidents and improper traffic management at crossings. At Benz circle one of the rotary intersections in Vijayawada, the above problem frequently occurs. To reduce the ill effects, some solution is needed to be provided. So, as a solution- Construction of flyover at this intersection is proposed and accepted as the best alternative or solution for the problem. For this classified volume count survey and analysis is carried out and the capacity of the existing lane is checked. But in the mean-time of construction there might be increase in the traffic congestion and speed delays due to the diversion of routes.

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Evaluation of effective factors on air pollution using optimized cellular automata: A case study of Tehran

Journal of Engineering Research ◽

10.36909/jer.13749 ◽

2021 ◽

Author(s):

Alireza Hamoudzadeh ◽

◽

Saeed Behzadi ◽

Keyword(s):

Air Pollution ◽

Cellular Automata ◽

Traffic Congestion ◽

Urban Areas ◽

Urban Air Pollution ◽

Urban Pollution ◽

Air Pollutant ◽

Great Promise ◽

And Diffusion

Vehicles and traffic congestion have been known as the main reasons for air pollution in urban areas, and Cellular Automata (CA) holds a great promise for predicting this hazard. Urban air pollution is a complex phenomenon and many factors involve in its distribution and diffusion. In this paper, the traffic map was used as the source of the air pollutant. Also, the prediction of urban pollution has been done using different data sources such as green space, buildings, wind direction and speed. The coefficient of these factors got estimated with Genetic Algorithm, and a comparison between different modes of the model got done. With considering the effect of these factors an accuracy of 58.4% was obtained.

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The Long-Standing Issue of Mobility at the Olympics: From Host Cities to Host Regions in the Ongoing Case Study of Milan–Cortina 2026

Sustainability ◽

10.3390/su14020910 ◽

2022 ◽

Vol 14 (2) ◽

pp. 910

Author(s):

Gustavo Lopes dos Santos ◽

Rosário Macário ◽

Marie Delaplace ◽

Stefano Di Vita

Keyword(s):

Urban Areas ◽

Olympic Games ◽

International Olympic Committee ◽

Academic Literature ◽

Mobility Problem ◽

New Challenges ◽

Mega Event ◽

Public Opposition ◽

The Olympic Games

Due to public opposition against the unsustainability of hosting the Olympic Games, the International Olympic Committee adopted Olympic Agenda 2020 to adjust the event requirements to address modern society’s sustainability concerns. Since its implementation, the Agenda has driven important changes regarding the planning and organization of the Olympics, including the possibility of regions being hosts. This allows the sprawl of Olympic venues over larger territories, theoretically facilitating the alignment of event requirements with the needs of the intensively growing contemporary urban areas. However, the larger the host territory, the more complex becomes its mobility planning, as transport requirements for participants still have to be fulfilled, and the host populations still expect to inherit benefits from any investments made. The objective of this paper is to identify and discuss new challenges that such modifications bring for mega-event mobility planning. First, based on the academic literature of case studies of previous Olympic cities, a theoretical framework to systematize the mobility problem at the Olympic Games is proposed for further validation, identifying the dimensions of the related knowledge frames. Second, the mobility planning for the case study of the first ever Olympic region—the Milan–Cortina 2026 Winter Games—is described. Using this case study, the proposed framework is then extrapolated for cases of Olympic regions in order to identify any shifts in the paradigm of mobility planning when increasing the spatial scale of Olympic hosts. Conclusions indicate that, if properly addressed, unsustainability might be mitigated in Olympic regions, but mega-event planners will have to consider new issues affecting host communities and event stakeholders.

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