scholarly journals Geographical Assessment of Low-Carbon Transportation Modes: A Case Study from a Commuter University

2018 ◽  
Vol 10 (8) ◽  
pp. 2696
Author(s):  
Selima Sultana ◽  
Hyojin Kim ◽  
Nastaran Pourebrahim ◽  
Firoozeh Karimi

This case study examines the geographic variation in students’ low-carbon transportation (LCT) modes to a commuter university campus. Three major goals are accomplished from this research: (1) identifying commuting zones for the bicycling, walking, and transit mode choice for UNCG students; (2) understanding whether the real vs. perception of space can be predictive to mode choice; and (3) understanding the relative importance of demographic, psychological, and logistic factors on students’ mode choice, using a suite of variables developed in multiple fields. Our analyses support the assertion that various physical, demographic, and psychological dimensions influence LCT mode choice. While the presence of sidewalks is conducive to walking, the distance, either perceived or actual, within 1.61 km from UNCG is the most important factor for walking mode share. The bicycling commute is not associated with either the distance or presence of bicycle lanes, while transit ridership most likely increases if students live >8 km from the UNCG campus with the nearest bus stop within 1 km from home. Given the limited bicycle lanes in Greensboro, students who commute to campus by bicycle are resilient to unfavorable bicycle conditions by sharing the road with cars and adjusting their travel routes. Our findings also concur with previous studies showing that bicycle commuters are disproportionately represented by self-identified whites while bus riders are disproportionately comprised of self-identified non-whites. Our analyses support Greensboro’s current planning and policy emphasis on low-carbon travel behaviors via equitable and safe transit-oriented multi-modal infrastructures, and suggest that UNCG should utilize its influence to advocate and further facilitate these ongoing efforts.

2022 ◽  
Vol 14 (2) ◽  
pp. 925
Author(s):  
Feifei Xin ◽  
Yifan Chen ◽  
Yitong Ye

The electric bicycle is considered as an environmentally friendly mode, the market share of which is growing fast worldwide. Even in metropolitan areas which have a well-developed public transportation system, the usage of electric bicycles continues to grow. Compared with bicycles, the power transferred from the battery enables users to ride faster and have long-distance trips. However, research on electric bicycle travel behavior is inadequate. This paper proposes a cumulative prospect theory (CPT) framework to describe electric bicycle users’ mode choice behavior. Different from the long-standing use of utility theory, CPT considers travelers’ inconsistent risk attitudes. Six socioeconomic characteristics are chosen to discriminate conservative and adventurous electric bicycle users. Then, a CPT model is established which includes two parts: travel time and travel cost. We calculate the comprehensive cumulative prospect value (CPV) for four transportation modes (electric bicycle, bus, subway and private car) to predict electric bicycle users’ mode choice preference under different travel distance ranges. The model is further validated via survey data.


WARTA ARDHIA ◽  
2013 ◽  
Vol 39 (4) ◽  
pp. 259-280
Author(s):  
Tito Yusmar

The growth of air transportation gives negative impact in its ground access system in which the flow of people who accessing the airport creates road congestion. This problem is also supported with the highly dependence of people on private car use and leave public transport as unattractive mode to be used in accessing the airport. This research attempts to find out which travel attributes of transportation mode that influence the mode choice of people who accessing the airport as the ground access users. Taking one case study at Soekarno-Hatta International Airport in Jakarta, Indonesia, the data are collected from this airport through survey process. Further, the statistical methods are conducted to get the results. Six determined travel attributes; cost, travel time, walking distance, ease of transfer, ease of carrying luggage and comfort, significantly influence and give differences on the user’s mode choice in which four of them; walking distance, ease of transfer, ease of carrying luggage and comfort, are being perceived very satisfactory for car. The research concludes with potential steps in improving public transportation which give access to the airport that might help attract more people to use it and increase its mode share. Pertumbuhan transportasi udara membawa dampak negatif bagi jalur akses darat menuju bandara dimana kepadatan dan kemacetan jalan semakin meningkat seiring bertambahnya jumlah orang yang mengakses bandara. Permasalahan ini turut didukung oleh tingginya ketergantungan masyarakat dalam menggunakan kendaraan pribadi sementara transportasi publik hanya menjadi alternatif yang dinilai tidak menarik untuk digunakan. Penelitian ini bertujuan untuk mencari dan menilai atribut perjalanan dari moda transportasi yang digunakan untuk mengakses bandara yang memengaruhi pilihan moda pengguna akses darat bandara. Dengan mengambil satu studi kasus di bandara internasional Soekarno-Hatta di Jakarta, Indonesia, survey dilakukan sebagai proses pengumpulan data. Enam atribut perjalanan, yaitu biaya, waktu tempuh, jarak berjalan, kemudahan transfer, kemudahan membawa barang bawaan, dan kenyamanan, secara signifikan memengaruhi dan memberikan perbedaan terhadap pemilihan moda dimana empat atribut diantaranya, yaitu jarak berjalan, kemudahan transfer, kemudahan membawa barang bawaan, dan kenyamanan, dinilai sangat memuaskan untuk moda mobil pribadi. Kesimpulan dari penelitian ini mendorong langkah-langkah potensial dalam meningkatkan daya saing transportasi publik yang digunakan untuk mengakses bandara sehingga dapat menarik lebih banyak pengguna dan meningkatkan pangsa pasarnya.


2021 ◽  
Vol 4 (1) ◽  
pp. 20
Author(s):  
Ardiana Yuli Puspitasari ◽  
Eko Arief Budiarto ◽  
Rachmat Mudiyono

Dr. Wahidin Street is one of the important corridors in Pekalongan City and passed by the city's public transportation. When viewed the arrangement of land use in the vicinity, this corridor is dominated by trade, services, housing, education, and office activities. This makes the potential for population attraction and movement using public transportation modes in this road corridor relatively large. However, along the corridor, currently, only 1 (one) shelter is available, and it is rarely used by passengers. The main reason is that the distance to the existing shelter is too far. Currently, passenger boarding and disembarking activities are still carried out in any place so that they often obstruct traffic flow and endanger passengers. The purpose of this study is to determine the number and location of shelters to accommodate the needs of passengers in the corridor of Dr. Wahidin Street, Pekalongan. The analysis method in this research is a quantitative analysis using the Set Covering Problem and analysis tools using ArcGis and Lingo 8.0 software. The results showed that the number of shelters needed was 4 (four) units with 2 locations each in the West of the road (Dr. Wahidin Shelter and in front of PPIP Wholesale Market) and 2 in the East of the road (around the Pandu Shop and the Honda Dealer).


2014 ◽  
Vol 1010-1012 ◽  
pp. 1898-1902
Author(s):  
Jian Qiang Hu ◽  
Xiao Feng Lou ◽  
Jun Jie Wang

Low carbon Tourism Education" refers to the tourists and tourism practitioners, low carbon Tourism Education and guidance activities. The development of low carbon tourism education is an important content of the construction of low carbon economy, the promotion of tourists and tourism practitioners of low carbon idea and behavior, has the vital significance to promote tourism enterprises in low carbon operation management and low carbon Tourism Scenic Area Construction etc. This paper focuses on the development of low carbon Tourism vigorously industry requirements, taking Huzhou Anji Daxi village as an example, through field research, on the existence of low carbon Tourism Education in the village of "Happy Farmhouse" problems are analyzed, and put forward the corresponding countermeasures, with a view to the education level for the construction of low carbon tourism economy to find a it is feasible and has the model significance of the road, and other areas to develop low carbon Tourism " Happy Farmhouse" experience.


Author(s):  
Mohd Aman ◽  
Bushra Miftah

This chapter is written for the welfare of the society, questioning and enlightening the effects of the increment or decrement in the percentage of quality of air causing pollution due to the rise in the traffic post-lockdown due to COVID-19 in metro cities, specifically in Delhi. In this chapter, we address the question about people's preference in moving in the shared taxis to their workplaces or their reluctance and denial of the idea of moving in the shared vehicle because of the fear of getting infected. The sensitivity of the situation will compel the people to move in a single occupied vehicle (SOV). The rise in the number of vehicles on the roads will result in traffic jams and different kinds of pollution where people battling with the pandemic will inevitably get exposed to other health-related issues. We use a BPR (Bureau of Public Roads) model to combat this issue endangering the environment and public health. We exploit the BPR function to relate average travel time to the estimated number of commuters travelling by car. We collect mode share data from the NITI Ayog, the State Resource Centre and other authentic sources, which gives unique figures of the impact of shared mobility in India and how, in its absence, various sectors will get affected. Using the given data and the BPR, we evaluate increased vehicle volumes on the road if different portions of transit and carpool users switch to single-occupancy vehicles and its effect on multiple other factors. Based on the study of densely populated city, Delhi, we predict that cities with significant transit ridership are at risk for extreme traffic and pollution unless transit systems can resume safe with effective protocols.


Author(s):  
Yang Liu ◽  
Yanjie Ji ◽  
Qiyang Liu ◽  
Min He ◽  
Xinwei Ma

To encourage low-carbon travel, reduce car trips, and improve the urban traffic system, an understanding of travel mode choice for escorting children to and from school is important. Previous studies have focused mostly on walking and bicycling. However, the electric bicycle (e-bike—a mainstream escorting mode in China) rarely has been investigated. The factors that affect travel mode choice (walking, e-bike, or car) for escorting children to and from school are explored at the household level in a case study from Kunming, China. Intrahousehold interactions and parental space–time constraints are represented by the comparative working hours of the parents and space–time coordination in joint parent–child trips, respectively. A multinomial logit model was applied in mode analysis. The results reveal interesting phenomena in travel mode choices for escorting children to school. When the mother’s working hours are longer than the father’s, the travel mode choice for escorting a child to and from school is less likely to be walking or e-bike; in other words, a car is the preferred choice in mother-dominated households. The distance deviation between parents and children is a significant factor in choosing between a car or an e-bike. Children are more likely to be escorted by e-bikes as a result of distance deviations, and walking or e-bike is less likely to be chosen when the school is far from home. Results could be valuable for traffic demand management to reduce car use for trips to and from school. In addition, e-bike development should be considered seriously for the future development of China.


Author(s):  
José Ángel Gimeno ◽  
Eva Llera Sastresa ◽  
Sabina Scarpellini

Currently, self-consumption and distributed energy facilities are considered as viable and sustainable solutions in the energy transition scenario within the European Union. In a low carbon society, the exploitation of renewables for self-consumption is closely tied to the energy market at the territorial level, in search of a compromise between competitiveness and the sustainable exploitation of resources. Investments in these facilities are highly sensitive to the existence of favourable conditions at the territorial level, and the energy policies adopted in the European Union have contributed positively to the distributed renewables development and the reduction of their costs in the last decade. However, the number of the installed facilities is uneven in the European Countries and those factors that are more determinant for the investments in self-consumption are still under investigation. In this scenario, this paper presents the main results obtained through the analysis of the determinants in self-consumption investments from a case study in Spain, where the penetration of this type of facilities is being less relevant than in other countries. As a novelty of this study, the main influential drivers and barriers in self-consumption are classified and analysed from the installers' perspective. On the basis of the information obtained from the installers involved in the installation of these facilities, incentives and barriers are analysed within the existing legal framework and the potential specific lines of the promotion for the effective deployment of self-consumption in an energy transition scenario.


2016 ◽  
Vol 167 (5) ◽  
pp. 294-301
Author(s):  
Leo Bont

Optimal layout of a forest road network The road network is the backbone of forest management. When creating or redesigning a forest road network, one important question is how to shape the layout, this means to fix the spatial arrangement and the dimensioning standard of the roads. We consider two kinds of layout problems. First, new forest road network in an area without any such development yet, and second, redesign of existing road network for actual requirements. For each problem situation, we will present a method that allows to detect automatically the optimal road and harvesting layout. The method aims to identify a road network that concurrently minimizes the harvesting cost, the road network cost (construction and maintenance) and the hauling cost over the entire life cycle. Ecological issues can be considered as well. The method will be presented and discussed with the help of two case studies. The main benefit of the application of optimization tools consists in an objective-based planning, which allows to check and compare different scenarios and objectives within a short time. The responses coming from the case study regions were highly positive: practitioners suggest to make those methods a standard practice and to further develop the prototype to a user-friendly expert software.


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