Exploring Benefits of Cargo-Cycles versus Trucks for Urban Parcel Delivery under Different Demand Scenarios

Urban deliveries are traditionally carried out with vans or trucks. These vehicles tend to face parking difficulties in dense urban areas, leading to traffic congestion. Smaller and nimbler vehicles by design, such as cargo-cycles, struggle to compete in distance range and carrying capacity. However, a system of cargo-cycles complemented with strategically located cargo-storing hubs can overcome some limitations of the cargo-cycles. Past research provides a limited perspective on how demand characteristics and parking conditions in urban areas are related to potential benefits of this system. To fill this gap, we propose a model to simulate the performance of different operational scenarios—a truck-only scenario and a cargo-cycle with mobile hubs scenario—under different delivery demand and parking conditions. We apply the model to a case study using data synthesized from observed freight-carrier demand in Singapore. The exploration of alternative demand scenarios informs how demand characteristics influence the viability of the solution. Furthermore, a sensitivity analysis clarifies the contributing factors to the demonstrated results. The combination of cargo-cycles and hubs can achieve progressive reductions in kilometers-traveled and hours-traveled up to around densities of 150 deliveries/km2, beyond which savings taper off. Whereas the reduction in kilometers-traveled is influenced by the the carrying capacity of the cargo-cycle, the reduction in hours-traveled is related to to the cargo-cycle ability to effectively decrease the parking dwell time by reducing, for instance, the time spent searching for parking and the time spent walking to a delivery destination.

Download Full-text

Google Traffic sebagai Masukan Kebijakan Transportasi Perkotaan (Studi Kasus: Kota Bandar Lampung)

Jurnal Tataloka ◽

10.14710/tataloka.22.3.409-417 ◽

2020 ◽

Vol 22 (3) ◽

pp. 409-417

Author(s):

Muhammad Zainal Ibad ◽

Rahayu Sulistyorini ◽

Chania Rahmah

Keyword(s):

Urban Areas ◽

Urban Transportation ◽

Transportation Policy ◽

Time Data ◽

Global Positioning ◽

Transportation Policies ◽

Movement System ◽

Using Data ◽

The Impact

Congestion in urban areas is vulnerable because of the impact of the growth of activities and an increasingly specialized and complex economy. For this reason, it is necessary to formulate a good urban transportation policy to accommodate increased urban transportation needs. Google Traffic is a feature found on Google Maps to see the level of congestion in an area. Google Traffic can detect an area with red, yellow or green indications through the principle of Real Time Data using data from the Global Positioning System (GPS). This study wanted to see how the use of the Google Traffic Feature as input to urban transportation policies by looking at existing urban transportation policies, analyzing the movement system model on Google Traffic, and analyzing the development of Google Traffic model policies, which would be useful for the development of Urban Transportation Policies, especially Bandar Lampung City as a case study.

Download Full-text

Micromobility Station Placement Optimization for a Rural Setting

Journal of Advanced Transportation ◽

10.1155/2021/9808922 ◽

2021 ◽

Vol 2021 ◽

pp. 1-10

Author(s):

Taraneh Askarzadeh ◽

Raj Bridgelall

Keyword(s):

Traffic Congestion ◽

Urban Areas ◽

Rural Setting ◽

Walking Distance ◽

Location Allocation ◽

Placement Decisions ◽

Placement Optimization ◽

Bike Sharing ◽

New Challenges

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.

Download Full-text

A Framework for Assessing Benefits of Implemented Nature-Based Solutions

Sustainability ◽

10.3390/su11236788 ◽

2019 ◽

Vol 11 (23) ◽

pp. 6788 ◽

Cited By ~ 3

Author(s):

Watkin ◽

Ruangpan ◽

Vojinovic ◽

Weesakul ◽

Torres

Keyword(s):

Rural Areas ◽

Performance Indicator ◽

Well Being ◽

Evaluation Framework ◽

Potential Benefits ◽

Using Data ◽

Urban And Rural Areas ◽

Set Up ◽

Selection Of

Nature-based solutions (NBS) are solutions that can protect, sustainably manage, and restore natural or modified ecosystems in urban and rural areas, while providing many benefits and co-benefits including stormwater mitigation, biodiversity enhancement, and human well-being. As such, NBS have the potential to alleviate many of the environmental, social, and economic issues that we face today. Grey infrastructure, such as lined trenches and catch basins, pipes, and concrete dikes are frequently used for stormwater management and flood protection, but they do not provide many of the co-benefits that are common with NBS. Grey infrastructure is designed to quickly collect and remove rainwater, whereas NBS keep rainwater where it falls, and where it can be used by the environment. Many stakeholders lack knowledge of the capabilities and benefits of NBS, and as a result, they continue to rely on grey infrastructure in their projects. When information is made available on the benefits and how they can be quantitatively measured, it is hoped that NBS will be promoted to a mainstream infrastructure choice. A valuable way to quantify and highlight the benefits of NBS is by using an evaluation framework. There are several evaluation frameworks that qualitatively assess the potential benefits of possible NBS, however there is a need for quantitative frameworks that can assess the actual benefits (or performance) of implemented (or existing) NBS. This article presents an evaluation framework that aims to quantify the benefits and co-benefits of implemented NBS. The framework involves five main steps: (1) selection of NBS benefit categories, (2) selection of NBS indicators, (3) calculation of indicator values, (4) calculation of NBS grade, and (5) recommendations. The outcome of the framework is a single numerical grade that reflects the benefit functioning for an NBS site and values for each performance indicator. This information may be used by decision makers to determine their budget allocations to expand or construct a new NBS site, to update maintenance plans that will improve the benefits of that site, to set up programs to monitor the NBS benefits and co-benefits over time, and to schedule labour and resources for other NBS projects. The framework was tested and validated on a case study of NBS in Thailand. Through conversations with stakeholders and knowledge of the case study area, relevant categories and indicators were chosen. Using data and information obtained through various means, values for each indicator and the overall NBS grade were calculated. The values revealed which benefits were pronounced, those that were weak, and where improvements were required.

Download Full-text

Integrating road carrying capacity and traffic congestion into the excess commuting framework: The case of Los Angeles

Environment and Planning B Urban Analytics and City Science ◽

10.1177/2399808318773762 ◽

2018 ◽

Vol 47 (1) ◽

pp. 119-137 ◽

Cited By ~ 2

Author(s):

Jiangping Zhou ◽

Enda Murphy ◽

Jonathan Corcoran

Keyword(s):

Los Angeles ◽

Public Transport ◽

Carrying Capacity ◽

Traffic Congestion ◽

Conceptual Development ◽

High Quality ◽

Excess Commuting ◽

Commute Distance

The excess commuting framework has advanced a series of metrics through which a city or a region’s jobs-housing balance and commuting efficiency can be measured. This study seeks to add to the conceptual development and extension of the excess commuting framework. Specifically, it considers the carrying capacity (of links) and related congestion issues in the excess commuting framework and demonstrates that overlooking these characteristics has important implications for excess commuting metrics. Drawing on an empirical case study, it shows that when carrying capacity and traffic congestion are accounted for, the observed commute is longer than otherwise. Excess commuting tends to be higher than its counterparts in previous excess commuting studies. The findings suggest that future excess commuting studies should take account of carrying capacity and congestion in determining excess commuting metrics. Moreover, high-quality connections (preferably via public transport) between jobs and housing allied with sufficient carrying capacity of popular links/routes for commuters are crucial preconditions for cities and regions to harvest the full benefits of jobs-housing balance policies targeted at the reduction of the average commute distance and vehicle miles travelled.

Download Full-text

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

Download Full-text

“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.

Download Full-text

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.

Download Full-text

Karakteristik Penduduk Miskin di Papua Barat

JFRES Journal of Fiscal Regional And Economy Studies ◽

10.36883/jfres.v1i1.9 ◽

2018 ◽

Vol 1 (1) ◽

pp. 69-76

Author(s):

Ludia Theresia Wambrauw ◽

Ratna M. H. Gusti ◽

Agus Irianto Sumule

Keyword(s):

Rural Areas ◽

Urban Areas ◽

Agricultural Sector ◽

Descriptive Analysis ◽

Poor People ◽

Health Issues ◽

Contributing Factors ◽

Poor Households ◽

Using Data ◽

Papua Barat

This research entitles Characteristics of Poor People in Papua Barat Province. The research aims are to describe poor people characteristics in Papua Barat, and to analyze some factors that influence poverty in Papua Barat Province. The research is conducted in Papua Barat Province by using data from Indonesia’s Statistics. Then a descriptive analysis method is used to describe the characteristics of poor households in Papua Barat and their contributing factors. The results showed that the percentage of poor people in Papua Barat has been decreasing from 2009 to 2016. The percentage of poverty is decreasing more in rural areas than in urban areas. The characteristics of the poor people are the number of household member is more than four people; have low level of education, majority live in remote areas and work in agricultural sector, less of them are migrants, and have no health issues. Based on those characteristics, the Papua Barat government should put attention in developing the agricultural sector and improving the social and economic infrastructures in rural areas.

Download Full-text

Suburbanisation processes within and outside the city: The development of intra-urban suburbs in Wrocław, Poland

Moravian Geographical Reports ◽

10.2478/mgr-2021-0012 ◽

2021 ◽

Vol 29 (2) ◽

pp. 149-165

Author(s):

Robert Szmytkie

Keyword(s):

Traffic Congestion ◽

Road Traffic ◽

Tax Revenue ◽

Territorial Development ◽

Construction Activity ◽

Sw Poland ◽

Using Data ◽

The City ◽

Road Traffic Congestion

Abstract The scale and the specificity of intra-urban suburbanisation is subject to evaluation in this article, based on a case study of Wrocław city (SW Poland), using data on population changes at an intra-urban scale and on the level of construction activity in the city. Intra-urban suburbanisation is characterised by intensive construction activity and population growth in the peripheral districts of the city, while depopulation takes place in the central part of the city and in large panel block estates from the socialist period. The main factors for the development of intra-urban suburbanisation are a reaction to the unfavourable (from the perspective of the city) suburbanisation processes (outflow of residents and tax revenue, road traffic congestion and the necessity to service populations residing de facto outside the city). The existence of extensive non-urbanised areas within the larger cities of Central and Eastern Europe (identified as potential areas for investment) results from the specific nature of their territorial development in the 20th century, including incorporation processes connected with planned urbanisation.

Download Full-text