scholarly journals Population Synthesis for a City in a Developing Country

2020 ◽  
Author(s):  
Devika Babu ◽  
Sreelakshmi Balan ◽  
Anjaneyulu Matha Venkata Lakshmi Ranga
Keyword(s):  
Developing Country ◽  
Travel Demand ◽  
Developing Economies ◽  
Simulated Data ◽  
Developed Countries ◽  
Population Characteristics ◽  
Population Synthesis ◽  
Household Level ◽  
Demand Models ◽  
Home Interview

Activity-based approach in transportation studies increased the demand for detailed disaggregate data. To overcome the tedious and costly data collection, synthesized data are widely used in activity based modeling practices in developed countries. In the case of developing economies, time, resource and monetary constraints hinder the development of new generation travel demand models. Population synthesis practices are the need of the hour in developing countries. Through this study, the authors proposed a method for population synthesis for a medium sized city, in a developing country. Details from 9901 households, collected through home-interview survey in 2011 formed the database for this work. The proposed synthesis procedure makes use of Monte Carlo process along with logit modeling technique to simulate population attributes using the survey data. The procedure is developed as a Visual Basic Application in spreadsheet platform. By adopting this method, various household level and person level attributes are simulated. Comparison of observed data from survey and simulated data showed consistent results and low differences. It is expected that this study will assist the planning authorities to better understand the city′s population characteristics.

Case Study in the Application of Adjusted Census Data for Planning Projects

1998 ◽  
Vol 1617 (1) ◽  
pp. 56-63
Author(s):  
Victor J. Siaurusaitis ◽  
Larry J. Saben
Keyword(s):  
Travel Demand ◽  
Census Data ◽  
Model Development ◽  
Traffic Model ◽  
Data Collection Process ◽  
Demand Models ◽  
Home Interview ◽  
Adjustment Factors ◽  
Data Definition ◽  
Census Adjustment

The reasons for differences between locally collected data and the 1990 census data, as determined from a detailed analysis of model development efforts in a planning study, are detailed. Agencies around the country are beginning to use census data that have been adjusted based on newly released Federal Highway Administration publications. The recently completed Transportation Planner’s Handbook on Conversion Factors for the Use of Census Data has been published to assist planners in using the 1990 census to develop and calibrate local travel demand models. Collecting new data to complete the development of a local model is not always an option. The 1990 census provides another source of information to assist in traffic model estimation. Potential users of the census need to be aware that there would appear to be a variance between results obtained from the census journey-to-work files and locally developed home interview surveys, even after the use of the census adjustment factors. The project in Atlanta, Georgia, involved detailed traffic model development and calibration, in conjunction with factor-adjusted census data. Because of the intimate understanding of the data for the study area, and the development of the model set from the beginning, differences between the locally collected data and census were explainable. Possible problems that can arise when comparing the data as they relate to geography, data definition, and accuracy of the data collection process are detailed.

Availability of Travel Forecasting Methods and Data for Air Quality Planning in Developing Countries

2003 ◽  
Vol 1859 (1) ◽  
pp. 110-116 ◽  
Author(s):  
Noreen C. McDonald ◽  
Christopher D. Porter ◽  
Roger Gorham
Keyword(s):  
Developing Countries ◽  
Latin America ◽  
Air Quality ◽  
Developing Country ◽  
Travel Demand ◽  
Developed Countries ◽  
Data Availability ◽  
Exploratory Research ◽  
Travel Forecasting ◽  
Sketch Plan

Many developing-country cities are experiencing severe air quality problems as a result of rapidly increasing vehicle use and highly polluting vehicles. Yet, data availability and modeling capabilities to support travel and emissions forecasting in developing countries are limited. One result is that policies that affect travel demand cannot be properly evaluated or are overlooked as solutions to air quality problems. Exploratory research to determine the need for and feasibility of developing a “sketch plan” travel forecasting method that can be applied in developing-country cities is described. Outreach to practitioners and researchers was undertaken to identify the extent of existing transportation data availability and forecasting capabilities. The research revealed a broad range of capabilities. Less-developed countries—including most countries in Africa and some in Asia and Latin America—often have no formalized forecasting approach, little data (which may be of suspect quality), and no institutional structure to support data collection or forecasting. Some of the more developed countries—especially in Southeast Asia and Latin America—have capabilities approaching or equal to those of western countries. The results suggest that, in many developing countries, there is a need for as well as interest in a simple tool for forecasting travel demand that minimizes data inputs and user requirements. Existing sketch-plan methods used in developed countries were also reviewed for potential application to developing countries. Because of significant differences between developed- and developing-country contexts and issues, however, a tool appropriate for developing-country cities probably would need to be developed from scratch.

MODEL DISTRIBUSI PERJALANAN PENDUDUK UNTUK PENENTUAN KORIDOR ‘LRT’ DI PULAU BATAM

2013 ◽  
Vol 12 (3) ◽  
Author(s):  
Djoko Prijo Utomo
Keyword(s):  
Network Performance ◽  
Travel Demand ◽  
Mass Transit ◽  
Distribution Model ◽  
Economic Activities ◽  
Transit System ◽  
Trip Distribution ◽  
Home Interview ◽  
Interview Survey ◽  
Private Car

In consequence of the increasing of regional economic activities in Pulau Batam, a reliable transportation system is required. Decreasing road network performance as a result of increasing traffic volume needs a strategic planning to anticipate the worsening condition in the future. One of the solutions is by providing mass transit system which is expected to attract private car users. Therefore, determination of potential corridor of mass transit system need to be identified so that the system provide better accessibility. Trip pattern in Pulau Batam must be known by developing trip distribution model. The trip distribution model is calibrated using origin-destination (O-D) data that is based on home interview survey. The validated model will be used to forecast and simulate travel demand onto transport network. Result of model calibration process shows mean trip length difference between model and survey is equal 0.141 %. From simulation of trip assignment is obtained that potential corridor for mass transit system using LRT is Batu Ampar – Batu Aji via Muka Kuning. Passenger forecast in the year 2030 is 193,990 passenger/day (2 directions).

PENGEMBANGAN ”REAL TIME TRAFFIC INFORMATION SYSTEM” BAGI PENGGUNA JALAN

2013 ◽  
Vol 12 (3) ◽  
Author(s):  
Rusmadi Suyuti
Keyword(s):  
Information System ◽  
Real Time ◽  
Travel Demand ◽  
Urban Traffic ◽  
Road User ◽  
Traffic Information ◽  
Estimation Methods ◽  
Traffic Counts ◽  
Real Time Traffic ◽  
Demand Models

Traffic information condition is a very useful  information for road user because road user can choose his best route for each trip from his origin to his destination. The final goal for this research is to develop real time traffic information system for road user using real time traffic volume. Main input for developing real time traffic information system is an origin-destination (O-D) matrix to represent the travel pattern. However, O-D matrices obtained through a large scale survey such as home or road side interviews, tend to be costly, labour intensive and time disruptive to trip makers. Therefore, the alternative of using traffic counts to estimate O-D matrices is particularly attractive. Models of transport demand have been used for many years to synthesize O-D matrices in study areas. A typical example of the approach is the gravity model; its functional form, plus the appropriate values for the parameters involved, is employed to produce acceptable matrices representing trip making behaviour for many trip purposes and time periods. The work reported in this paper has combined the advantages of acceptable travel demand models with the low cost and availability of traffic counts. Two types of demand models have been used: gravity (GR) and gravity-opportunity (GO) models. Four estimation methods have been analysed and tested to calibrate the transport demand models from traffic counts, namely: Non-Linear-Least-Squares (NLLS), Maximum-Likelihood (ML), Maximum-Entropy (ME) and Bayes-Inference (BI). The Bandung’s Urban Traffic Movement survey has been used to test the developed method. Based on several statistical tests, the estimation methods are found to perform satisfactorily since each calibrated model reproduced the observed matrix fairly closely. The tests were carried out using two assignment techniques, all-or-nothing and equilibrium assignment.  

Australia—The Hidden Jewel

2018 ◽  
Author(s):  
Mahesh K. Joshi ◽  
J.R. Klein
Keyword(s):  
Natural Resources ◽  
Value Chain ◽  
Global Economy ◽  
Good Governance ◽  
Developing Economies ◽  
Raw Materials ◽  
Manufacturing Sector ◽  
Developed Countries ◽  
The United States ◽  
Dutch Disease

The twenty-first century is being touted as the Asian century. With its stable economy, good governance, education system, and above all the abundant natural resources, will Australia to take its place in the global economy by becoming more entrepreneurial and accelerating its rate of growth, or will it get infected with the so-called Dutch disease? It has been successful in managing trade ties with fast-developing economies like China and India as well as developed countries like the United States. It has participated in the growth of China by providing iron ore and coal. Because it is a low-risk country, it has enabled inflow of large foreign capital investments. A lot will depend on its capability and willingness to invest the capital available in entrepreneurial ventures, its ability to capture the full value chain of natural resources, and to export the finished products instead of raw materials, while building a robust manufacturing sector.

Mean reversion in corporate leverage: evidence from India

2019 ◽  
Vol 45 (9) ◽  
pp. 1183-1198
Author(s):  
Gaurav S. Chauhan ◽  
Pradip Banerjee
Keyword(s):  
Capital Structure ◽  
Emerging Market ◽  
Simulated Data ◽  
Mean Reversion ◽  
Developed Countries ◽  
Data Sets ◽  
Debt Ratio ◽  
Testing Strategy ◽  
Content Type ◽  
Financing Behavior

Purpose Recent papers on target capital structure show that debt ratio seems to vary widely in space and time, implying that the functional specifications of target debt ratios are of little empirical use. Further, target behavior cannot be adjudged correctly using debt ratios, as they could revert due to mechanical reasons. The purpose of this paper is to develop an alternative testing strategy to test the target capital structure. Design/methodology/approach The authors make use of a major “shock” to the debt ratios as an event and think of a subsequent reversion as a movement toward a mean or target debt ratio. By doing this, the authors no longer need to identify target debt ratios as a function of firm-specific variables or any other rigid functional form. Findings Similar to the broad empirical evidence in developed economies, there is no perceptible and systematic mean reversion by Indian firms. However, unlike developed countries, proportionate usage of debt to finance firms’ marginal financing deficits is extensive; equity is used rather sparingly. Research limitations/implications The trade-off theory could be convincingly refuted at least for the emerging market of India. The paper here stimulated further research on finding reasons for specific financing behavior of emerging market firms. Practical implications The results show that the firms’ financing choices are not only depending on their own firm’s specific variables but also on the financial markets in which they operate. Originality/value This study attempts to assess mean reversion in debt ratios in a unique but reassuring manner. The results are confirmed by extensive calibration of the testing strategy using simulated data sets.

scholarly journals Address-based computation of intra-cell distances for travel demand models

2021 ◽  
Vol 184 ◽  
pp. 123-130
Author(s):  
Matthias Heinrichs ◽  
Rita Cyganski ◽  
Daniel Krajzewicz
Keyword(s):  
Travel Demand ◽  
Demand Models

scholarly journals Globalization Impact on Multinational Enterprises

World ◽  
2021 ◽  
Vol 2 (2) ◽  
pp. 216-230
Author(s):  
Justine Kyove ◽  
Katerina Streltsova ◽  
Ufuoma Odibo ◽  
Giuseppe T. Cirella
Keyword(s):  
Developing Country ◽  
Multinational Enterprises ◽  
Developed Countries ◽  
Global Market ◽  
Data Availability ◽  
Negative Effects ◽  
Developed Country ◽  
Excellent Starting Point ◽  
Starting Point ◽  
The Impact

The impact of globalization on multinational enterprises was examined from the years 1980 to 2020. A scoping literature review was conducted for a total of 141 articles. Qualitative, quantitative, and mixed typologies were categorized and conclusions were drawn regarding the influence and performance (i.e., positive or negative effects) of globalization. Developed countries show more saturated markets than developing countries that favor developing country multinational enterprises to rely heavily on foreign sales for revenue growth. Developed country multinationals are likely to use more advanced factors of production to create revenue, whereas developing country multinationals are more likely to use less advanced forms. A number of common trends and issues showed corporate social responsibility, emerging markets, political issues, and economic matters as key to global market production. Recommendations signal a strong need for more research that addresses contributive effects in the different economies, starting with the emerging to the developed. Limitations of data availability and inconsistency posed a challenge for this review, yet the use of operationalization, techniques, and analyses from the business literature enabled this study to be an excellent starting point for additional work in the field.

A copula-based continuous cross-nested logit model for tour scheduling in activity-based travel demand models

2021 ◽  
Vol 145 ◽  
pp. 324-341
Author(s):  
Sepehr Ghader ◽  
Carlos Carrion ◽  
Liang Tang ◽  
Arash Asadabadi ◽  
Lei Zhang
Keyword(s):  
Logit Model ◽  
Travel Demand ◽  
Nested Logit ◽  
Nested Logit Model ◽  
Demand Models ◽  
Tour Scheduling
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