scholarly journals Spatial and Time Spillovers of Driving Restrictions: Causal Evidence from Limas Pico y Placa Policy

2021 ◽  
Author(s):  
Edgar Salgado ◽  
Oscar A. Mitnik
Keyword(s):  
Traffic Congestion ◽  
Causal Effect ◽  
Time Schedule ◽  
Community Based ◽  
Policy Makers ◽  
Spatial Spillovers ◽  
Traffic Conditions ◽  
Driving Restrictions ◽  
Restriction Policy ◽  
Traffic Related Pollution

Driving restrictions are popular interventions in rapidly urbanizing developing countries. Their relatively inexpensive implementation appeals to the pressing need to reduce traffic congestion and pollution. Their effectiveness however, remains contested. Using high frequency data from the community-based driving directions app Waze, we evaluate the causal effect on traffic congestion of Lima's Pico y Placa driving restriction policy introduced in 2019. We find small improvements in traffic congestion for the policy's directly targeted areas. However, those improvements are offset by time and spatial spillovers in the opposite direction in the aggregate. Speed improved by 2 percent during the early weeks of the intervention, but this effect disappeared 16 weeks after the start of the policy. Moreover, traffic conditions worsened in adjacent areas and in hours outside the time schedule of the policy. In the aggregate, accounting for time and spatial spillovers, a simulation exercise suggests that overall welfare declined by 2 percent, mostly driven by the extensive margin (more roads becoming congested) outside the direct areas and hours targeted by the policy. The policy seems not only to have failed to achieve its intended benefits in terms of congestion, but also probably caused increases in traffic-related pollution. These results highlight the need for policy makers to take into account the overall impacts of driving restrictions policies before implementing them.

scholarly journals Traffic Conditions and Route Choice of Road Users Between Two Roundabouts

2020 ◽  
Vol 15 (3) ◽  
pp. 446-450
Author(s):  
Lin Zarni Win ◽  
Kyaing ◽  
Ko Ko Lwin ◽  
Yoshihide Sekimoto ◽  
◽  
...  
Keyword(s):  
Government Policy ◽  
Traffic Congestion ◽  
Route Choice ◽  
Policy Makers ◽  
The Road ◽  
Traffic Conditions ◽  
Road Users ◽  
Interview Methods ◽  
The Government ◽  
Almost All

This study aims to present the traffic conditions of one of the most congested areas in Yangon as well as the route choice behaviors of the road users in that area. It analyzes drivers’ route choice behaviors and traffic congestion according to road segments. Manual traffic counting and roadside interview methods were used in this survey. The data gathered were used in finding routes alternative to the U Htaung Bo road, which is extremely congested almost all the time. With regard to the report, it will be helpful to identify the scale of the problem that is caused by traffic congestion and to increase awareness of this issue, including amongst the government, policy makers, traffic engineers, and road users.

Smart Driving System for Improving Traffic Flow

2017 ◽  
Vol 7 (7) ◽  
pp. 236
Author(s):  
Rajesh Kumar Gupta ◽  
L. N. Padhy ◽  
Sanjay Kumar Padhi
Keyword(s):  
Traffic Flow ◽  
Traffic Congestion ◽  
Urban Areas ◽  
Adaptive Cruise Control ◽  
Human Perception ◽  
Cruise Control ◽  
Driving System ◽  
V2v Communication ◽  
Traffic Conditions ◽  
Cooperative Adaptive Cruise Control

Traffic congestion on road networks is one of the most significant problems that is faced in almost all urban areas. Driving under traffic congestion compels frequent idling, acceleration, and braking, which increase energy consumption and wear and tear on vehicles. By efficiently maneuvering vehicles, traffic flow can be improved. An Adaptive Cruise Control (ACC) system in a car automatically detects its leading vehicle and adjusts the headway by using both the throttle and the brake. Conventional ACC systems are not suitable in congested traffic conditions due to their response delay.  For this purpose, development of smart technologies that contribute to improved traffic flow, throughput and safety is needed. In today’s traffic, to achieve the safe inter-vehicle distance, improve safety, avoid congestion and the limited human perception of traffic conditions and human reaction characteristics constrains should be analyzed. In addition, erroneous human driving conditions may generate shockwaves in addition which causes traffic flow instabilities. In this paper to achieve inter-vehicle distance and improved throughput, we consider Cooperative Adaptive Cruise Control (CACC) system. CACC is then implemented in Smart Driving System. For better Performance, wireless communication is used to exchange Information of individual vehicle. By introducing vehicle to vehicle (V2V) communication and vehicle to roadside infrastructure (V2R) communications, the vehicle gets information not only from its previous and following vehicle but also from the vehicles in front of the previous Vehicle and following vehicle. This enables a vehicle to follow its predecessor at a closer distance under tighter control.

scholarly journals Detecting Different Road Infrastructural Elements Based on the Stochastic Characterization of Speed Patterns

2017 ◽  
Vol 2017 ◽  
pp. 1-11 ◽  
Author(s):  
Mario Muñoz-Organero ◽  
Ramona Ruiz-Blázquez
Keyword(s):  
Total Variation ◽  
Traffic Congestion ◽  
Automatic Detection ◽  
Mass Function ◽  
Total Variation Distance ◽  
Statistical Moments ◽  
Probability Mass Function ◽  
Traffic Lights ◽  
Traffic Conditions ◽  
Variation Distance

The automatic detection of road related information using data from sensors while driving has many potential applications such as traffic congestion detection or automatic routable map generation. This paper focuses on the automatic detection of road elements based on GPS data from on-vehicle systems. A new algorithm is developed that uses the total variation distance instead of the statistical moments to improve the classification accuracy. The algorithm is validated for detecting traffic lights, roundabouts, and street-crossings in a real scenario and the obtained accuracy (0.75) improves the best results using previous approaches based on statistical moments based features (0.71). Each road element to be detected is characterized as a vector of speeds measured when a driver goes through it. We first eliminate the speed samples in congested traffic conditions which are not comparable with clear traffic conditions and would contaminate the dataset. Then, we calculate the probability mass function for the speed (in 1 m/s intervals) at each point. The total variation distance is then used to find the similarity among different points of interest (which can contain a similar road element or a different one). Finally, a k-NN approach is used for assigning a class to each unlabelled element.

scholarly journals TOWARDS AN EFFICIENT TRAFFIC CONGESTION PREDICTION METHOD BASED ON NEURAL NETWORKS AND BIG GPS DATA

2019 ◽  
Vol 20 (1) ◽  
pp. 108-118 ◽  
Author(s):  
Wiam Elleuch ◽  
Ali Wali ◽  
Adel M. Alimi
Keyword(s):  
Traffic Congestion ◽  
Prediction Method ◽  
Traffic Information ◽  
Gps Data ◽  
Traffic Patterns ◽  
Dynamic Changes ◽  
Traffic Conditions ◽  
Congestion Prediction ◽  
Different Types ◽  
Nonparametric Techniques

ABSTRACT: The prediction of accurate traffic information such as speed, travel time, and congestion state is a very important task in many Intelligent Transportations Systems (ITS) applications. However, the dynamic changes in traffic conditions make this task harder. In fact, the type of road, such as the freeways and the highways in urban regions, can influence the driving speeds and the congestion state of the corresponding road. In this paper, we present a NNs-based model to predict the congestion state in roads. Our model handles new inputs and distinguishes the dynamic traffic patterns in two different types of roads: highways and freeways. The model has been tested using a big GPS database gathered from vehicles circulating in Tunisia. The NNs-based model has shown their capabilities of detecting the nonlinearity of dynamic changes and different patterns of roads compared to other nonparametric techniques from the literature. ABSTRAK: Ramalan maklumat trafik yang tepat seperti kelajuan, masa perjalanan dan keadaan kesesakan adalah tugas yang sangat penting dalam banyak aplikasi Sistem Pengangkutan Pintar (ITS). Walau bagaimanapun, perubahan keadaan lalu lintas yang dinamik menjadikan tugas ini menjadi lebih sukar. Malah, jenis jalan raya, seperti jalan raya dan lebuh raya di kawasan bandar, boleh mempengaruhi kelajuan memandu dan keadaan kesesakan jalan yang sama. Dalam makalah ini, kami membentangkan model berasaskan NN untuk meramalkan keadaan kesesakan di jalan raya. Model kami mengendalikan input baru dan membezakan corak trafik dinamik dalam dua jenis jalan raya yang lebuh raya dan jalan raya. Model ini telah diuji menggunakan pangkalan data GPS yang besar yang dikumpulkan dari kenderaan yang beredar di Tunisia. Model berasaskan NNs telah menunjukkan keupayaan mereka untuk mengesan ketiadaan perubahan dinamik dan pola jalan yang berbeza berbanding dengan teknik nonparametrik yang lain dari kesusasteraan.

scholarly journals An Investigation into the Implementation Processes of Ghana’s Primary Health Care Strategy: The Community-Based Health Planning and Services Programme.

2021 ◽  
Author(s):  
Matthew Kwame Edusei ◽  
Kofi Bobi Barimah ◽  
Samuel Kwadwo Asibuo
Keyword(s):  
Health Planning ◽  
Exploratory Research ◽  
Community Based ◽  
Policy Makers ◽  
Implementation Challenges ◽  
The Public ◽  
Implementation Processes ◽  
Health Goals ◽  
Health Strategy ◽  
District Assemblies

Abstract Background: Ghana has adopted the community-based health planning and services (CHPS) programme as the public health strategy for meeting its universal health goals. The programme is facing implementation challenges that are affecting its expansion within the communities. This research was undertaken to examine the implementation processes of CHPS and suggest solutions to improve its scaling-up within the communities.Method : An exploratory research design was used with a mixed method approach that involved the testing of a hypothesis. Results : The study found that in places with on-going CHPS programmes, there is statistically significant (p<0.001) evidence that the implementation processes are not flawed. However, the district assemblies were selective in the allocation of CHPS zones within the communities. Conclusion : Chieftaincy conflicts within the communities are impeding the community entry aspect of the CHPS policy implementation processes and needs to be addressed by policy makers in the relevant government agencies.

scholarly journals Sistem Pengamatan Kondisi Lalu Lintas Berbasis Data GPS pada Smartphone (Studi Kasus : Kota Denpasar)

2020 ◽  
Vol 7 (4) ◽  
pp. 667
Author(s):  
Gede Herdian Setiawan ◽  
I Ketut Dedy Suryawan
Keyword(s):  
Real Time ◽  
Traffic Congestion ◽  
Data Retrieval ◽  
Traffic Information ◽  
Vehicle Speed ◽  
Observation Model ◽  
Economic Activities ◽  
Traffic Condition ◽  
Traffic Conditions ◽  
Real Time Traffic

<p>Pertumbuhan jumlah kendaraan yang semakin meningkat setiap tahunnya mengakibatkan volume kendaraan yang melintasi ruas jalan semakin padat yang kerap mengakibatkan kemacetan lalu lintas. Kemacetan lalu lintas dapat menjadi beban biaya yang signifikan terhadap kegiatan ekonomi masyarakat. Informasi lalu lintas yang dinamis seperti informasi kondisi lalu lintas secara langsung <em>(real time)</em> akan membantu mempengaruhi aktivitas masyarakat pengguna lalu lintas untuk melakukan perencanaan dan penjadwalan aktivitas yang lebih baik. Penelitian ini mengusulkan model pengamatan kondisi lalu lintas berbasis data GPS pada <em>smartphone</em>, untuk informasi kondisi lalu lintas secara langsung. GPS <em>Receiver</em> pada <em>smartphone</em> menghasilkan data lokasi secara instan dan bersifat mobile sehingga dapat digunakan untuk pengambilan data kecepatan kendaraan secara langsung. Kecepatan kendaraan diperoleh berdasarkan jarak perpindahan koordinat kendaraan dalam satuan detik selanjutnya di konversi menjadi satuan kecepatan (km/jam) kemudian data kecepatan kendaraan di proses menjadi informasi kondisi lalu lintas. Secara menyeluruh model pengamatan berfokus pada tiga tahapan, yaitu akuisisi data kecepatan kendaraan berbasis GPS pada <em>smartphone</em>, pengiriman data kecepatan dan visualisasi kondisi lalu lintas berbasis GIS. Pengujian dilakukan pada ruas jalan kota Denpasar telah mampu mendapatkan data kecepatan kendaraan dan mampu menunjukkan kondisi lalu lintas secara langsung dengan empat kategori keadaan lalu lintas yaitu garis berwarna hitam menunjukkan lalu lintas macet dengan kecepatan kendaraan kurang dari 17 km/jam, merah menunjukkan padat dengan kecepatan kendaraan 17 km/jam sampai 27 km/jam, kuning menunjukkan sedang dengan kecepatan kendaraan 26 km/jam sampai 40 km/jam dan hijau menunjukkan lancar dengan kecepatan kendaraan diatas 40 km/jam.</p><p> </p><p><em><strong>Abstract</strong></em></p><p class="Abstract"><em>The growth in the number of vehicles that is increasing every year has resulted in the volume of vehicles crossing the road increasingly congested which often results in traffic congestion. Traffic congestion can be a significant cost burden on economic activities. Dynamic traffic information such as information on real time traffic conditions will help influence the activities of the traffic user community to better plan and schedule activities. This study proposes a traffic condition observation model based on GPS data on smartphones, for information on real time traffic conditions. The GPS Receiver on the smartphone produces location and coordinate data instantly and is mobile so that it can be used for direct vehicle speed data retrieval. Vehicle speed is obtained based on the displacement distance of the vehicle's coordinates in units of seconds and then converted into units of speed (km / h), the vehicle speed data is then processed into information on traffic conditions. Overall, the observation model focuses on three stages, namely GPS-based vehicle speed data acquisition on smartphones, speed data delivery and visualization of GIS-based traffic conditions. Tests carried out on the Denpasar city road segment have been able to obtain vehicle speed data and are able to show traffic conditions directly with four categories of traffic conditions, namely black lines indicating traffic jammed with vehicle speeds of less than 17 km / h, red indicates heavy with speed vehicles 17 to 27 km / h, yellow indicates medium speed with vehicles 26 km/h to 40 km / h and green shows fluent with vehicle speeds above 40 km / h.</em></p><p><em><strong><br /></strong></em></p>

scholarly journals A Decentralised Approach to Intersection Traffic Management

2018 ◽  
Author(s):  
Huan Vu ◽  
Samir Aknine ◽  
Sarvapali D. Ramchurn
Keyword(s):  
Quality Of Life ◽  
Waiting Time ◽  
Traffic Congestion ◽  
Traffic Management ◽  
State Of The Art ◽  
The State ◽  
Management Mechanism ◽  
Traffic Conditions

Traffic congestion has a significant impact on quality of life and the economy. This paper presents a decentralised traffic management mechanism for intersections using a distributed constraint optimisation approach (DCOP). Our solution outperforms the state of the art solution both for stable traffic conditions (about 60% reduced waiting time) and robustness to unpredictable events. 

scholarly journals Suburban Employment Centers: Probing the Influence of Site Features on the Journey-to-Work

1989 ◽  
Vol 8 (2) ◽  
pp. 75-85 ◽  
Author(s):  
Robert Cervero
Keyword(s):  
Land Use ◽  
Travel Behavior ◽  
Traffic Congestion ◽  
Low Density ◽  
Traffic Conditions ◽  
Employment Centers ◽  
Single Use ◽  
Journey To Work ◽  
Levels Of Service ◽  
The U.S

This paper argues that the low-density, single-use character of most suburban workplaces in the U.S. has contributed to worsening traffic congestion by making most workers highly dependent on their own automobiles for accessing jobs. To test this proposition, land use and transportation data are examined for fifty of the largest suburban employment centers in the nation. Differences in the share of trips made by various modes, commuting speeds, and levels of service on major thoroughfares connecting suburban centers are compared among clusters of centers. The densities, sizes, and land use mixtures of suburban workplaces are generally found to be important determinants of worker travel behavior and local traffic conditions.

The applications of Kaizen methods in project settings: applied study in Jordan

2019 ◽  
Vol 31 (5) ◽  
pp. 831-849
Author(s):  
Khalil Ahmad Al-Hyari ◽  
Mohammed Khair Abu Zaid ◽  
Omar Suleiman Arabeyyat ◽  
Laith Al-Qwasmeh ◽  
Mohamed Haffar
Keyword(s):  
Job Shop ◽  
Causal Effect ◽  
Cost Effective ◽  
Research Approach ◽  
Policy Makers ◽  
Content Type ◽  
Adequate Knowledge ◽  
Applied Study ◽  
Quality Control Tool ◽  
Fishbone Diagram

Purpose The purpose of this paper is to explore the results of implementing the Kaizen approach in a caravan repairing project near the Jordanian–Syrian border in the Zaatari camp. Design/methodology/approach The study is based on the exploratory qualitative research approach. The data were collected through interviews and on-site observation with employees who were involved with the caravan maintenance project and have adequate knowledge and information about this project. In this process, a fishbone diagram, a quality control tool, is used to recognize and explain a causal-effect relationship under the selected Kaizen theme. Findings The findings suggest that the Kaizen approach was economical in terms of both money and time. Also, waste elimination can be achieved through a variety of tools and easily combined with the Kaizen approach. Implementing the Kaizen approach is an effective and reliable system that allows for the tackling of all types of inefficiencies in the caravan repairing project. Research limitations/implications The findings of this study will help policy makers and managers put together suitable and effective policies that will assist those firms in overcoming the demands of customers and competitors to deliver high quality, inexpensive products in less time through the application of the Kaizen approach. This, in turn, will lead to improved quality, efficiency and productivity in the most cost-effective way. However, these results should not be generalized since they are only confined to the context of caravan repairing project. Originality/value Very little research has been done that takes into account the contexts of developing countries. Additionally, most literature presents the use of Kaizen applications only in the manufacturing or production sectors. This study is the first to implement Kaizen as a continuous improvement technique in a caravan repairing project – a job shop industry different from the repetitive batch work environment that is usually associated with implementation of Kaizen. The current research should be of great interest to researchers, managers and professionals who wish to apply Kaizen approach as it is sustainable over time in similar projects.

‘Mexicans love red’ and other gentrification myths: Displacements and contestations in the gentrification of Pilsen, Chicago, USA

Urban Studies ◽  
2017 ◽  
Vol 55 (8) ◽  
pp. 1711-1728 ◽  
Author(s):  
Winifred Curran
Keyword(s):  
Iterative Process ◽  
Mexican American ◽  
Housing Affordability ◽  
Community Based ◽  
Research Project ◽  
Policy Makers ◽  
Community Resistance ◽  
Community Based Research ◽  
Resistance Strategies ◽  
Community Strategies

This article uses experiences from a decade-long community-based research project in the Pilsen neighbourhood of Chicago, a Mexican-American neighbourhood whose residents are both experiencing and resisting gentrification, to show how displacements and contestations evolve in conversation with each other in an iterative process we could call ‘actually existing’ gentrifications. I analyse a series of ‘moments’ in 13 years of research in Pilsen to illustrate the constantly shifting terrain of gentrification politics, covering not just housing affordability, but the nature of identity, democracy and belonging. As communities develop resistance strategies to gentrification, so too do city planners, policy makers and developers adapt to these community strategies to reframe their vision of the community. In highlighting both the success of community resistance in mitigating some of the worst effects of gentrification and the co-optation of some of these same strategies in the reframing of gentrification, my goal is to show that gentrification is rarely ever done or complete but is continuously enacted and resisted, challenging the idea that gentrification is somehow inevitable.

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